A Comparative Analysis of 3D Software for Modeling Fatigue Crack Growth: A Review
Abstract
:1. Introduction
- Safety and Reliability: By monitoring the crack propagation process, designers can assess the safety and reliability of the structure. Understanding how cracks evolve and propagate helps identify critical areas prone to failure, enabling proactive maintenance and repair actions. This ensures the continued safe operation of the equipment and minimizes the risk of catastrophic failures.
- Structural Integrity Assessment: Monitoring crack propagation allows for a comprehensive assessment of the structure’s integrity. By tracking crack growth characteristics such as crack length, direction, and rate, designers can predict the remaining useful life of the equipment. This information assists in scheduling maintenance activities, optimizing operations, and avoiding unexpected downtime or costly repairs.
- Cost-Effectiveness: Monitoring crack propagation in a structured manner can be seen as an investment in cost-effectiveness. By identifying cracks at an early stage and monitoring their growth, designers can take appropriate measures to mitigate further damage or extend the life of the structure. This can minimize repair costs, prevent unnecessary component replacements, and optimize maintenance strategies, resulting in significant cost savings over the equipment’s lifespan.
- Performance Optimization: Understanding the crack propagation process helps designers evaluate the impact of cracks on the performance of the structure. By quantifying the effects of cracks on factors such as stiffness, load-carrying capacity, and dynamic response, designers can optimize the design and operational parameters to mitigate the adverse effects of cracks. This leads to improved performance, efficiency, and longevity of the equipment.
2. Software
2.1. Numerical-Based Approaches
2.1.1. ABAQUS
- Maximum Tangential Stress (MTS) Criterion: This criterion focuses on evaluating the maximum tangential stress acting on the crack tip. It serves as an indicator for assessing crack growth behavior under various loading conditions. By monitoring the magnitude of the tangential stress, the MTS criterion helps to predict crack propagation.
- Maximum Shear Stress Ratio (MSSR) Criterion: The MSSR criterion considers the ratio between the maximum shear stress and the normal stress acting on the crack plane. This criterion provides valuable insights into crack behavior and stability. By examining the relationship between shear and normal stresses, it aids in understanding the crack growth mechanism.
- Extension of the Maximum Tangential Stress (Ex-MTS) Criterion: The Ex-MTS criterion expands upon the MTS concept by incorporating additional factors that influence crack growth. It takes into account parameters such as stress intensity factors and crack path. By considering these factors, the Ex-MTS criterion enhances the accuracy of crack growth predictions.
- Comprehensive Simulation Tool: ABAQUS provides a robust platform for simulating fatigue crack growth. Although it does not natively support fatigue analysis, engineers can leverage plug-ins or toolkits to perform these predictions. The versatility of Abaqus allows users to model complex geometries, material behavior, and loading conditions, making it suitable for various engineering applications [23,24].
- Freely Distributed Plug-In: Researchers have developed an ABAQUS plug-in specifically for fatigue crack growth simulations. This plug-in is freely distributed and aims to evaluate the design life of engineering components. It includes five different fatigue crack growth models and relies on the XFEM method to simulate crack propagation. The plug-in covers all necessary steps, from geometry creation to job submission and post-processing [9,25].
- Integration with Pre/Post-processing Tools: ABAQUS integrates seamlessly with pre-processing tools like CATIA or SolidWorks for geometry creation and mesh generation. It also provides a powerful post-processing environment that allows users to visualize and analyze simulation results effectively. This integration streamlines the simulation workflow and enhances productivity [27,28].
- Mesh Sensitivity: The accuracy of fatigue crack growth analysis is highly dependent on the quality and refinement of the mesh near the crack tip. Achieving an appropriate mesh density can be challenging, as refining the mesh in this region leads to increased computational costs. Careful consideration and validation of the mesh sensitivity are required to obtain reliable results [29].
- Crack Growth Models: ABAQUS offers various crack growth models such as cohesive zone modeling and XFEM. However, the accuracy of these models is dependent on the assumptions and parameters used. Choosing the appropriate crack growth model and accurately defining its parameters can be complex and may require experimental validation [30]. Dirik and Yalçinkaya [31] highlighted the importance of incorporating a mesh-independent computational algorithm within ABAQUS to achieve accurate predictions of fatigue crack growth, particularly under variable amplitude loading conditions. This emphasizes the need for advanced techniques that can mitigate the influence of mesh resolution on the results, ensuring reliable predictions of crack propagation behavior.
- Material Data: Accurate material properties, such as fatigue properties, are crucial for reliable fatigue crack growth analysis. ABAQUS provides a material database, but it may not cover all materials and loading conditions. Obtaining accurate material data for specific materials and ensuring their applicability to the analysis are essential [32].
- Computational Resources: A fatigue crack growth analysis can be computationally intensive, particularly when dealing with large and complex models. Adequate computational resources, including memory and processing power, are required to ensure efficient and timely analysis.
- No Direct Built-in Support: Unlike some specialized fatigue analysis tools, ABAQUS does not directly support fatigue analysis out of the box. Users need to rely on additional plug-ins or toolkits to perform fatigue predictions [9].
2.1.2. FRANC3D
- In terms of fatigue crack growth analysis, FRANC3D supports various established models for estimating crack growth rates. These models utilize well-known relationships between fatigue loading, crack size, and material properties. Additionally, users have the flexibility to input their own user-defined data or custom models to capture specific fatigue crack growth behavior.
- One notable feature of FRANC3D is its ability to generate both surface and volume meshes [33]. This versatility allows for compatibility with other finite element or boundary element programs, enabling seamless integration into existing analysis workflows.
- Integration with ANSYS: FRANC3D works in conjunction with ANSYS, a widely used finite element analysis (FEA) software. It leverages ANSYS’s capabilities for meshing, stress analysis, and other complex simulations. FRANC3D inserts and grows cracks within the ANSYS finite element mesh, making it a valuable extension for fatigue analysis [34,35].
- Geometrical complexity: FRANC3D may have difficulties in handling highly complex crack geometries, such as branched cracks or cracks in non-standard shapes. The software is primarily designed for simpler crack configurations [33].
- Mesh generation: Generating an appropriate mesh for crack propagation simulations can be challenging in FRANC3D. It may require manual intervention or additional pre-processing steps to achieve accurate and efficient meshing [38].
- Computational resources: Fatigue crack growth simulations in FRANC3D can be computationally intensive, especially for large and complex models. Adequate computational resources, such as processing power and memory, may be required to perform simulations within reasonable time frames [39].
- Material models: FRANC3D may have limitations in terms of the variety of material models available for fatigue crack growth simulations. It is essential to ensure that the selected material model accurately represents the behavior of the material being analyzed [40].
- Crack growth direction: FRANC3D assumes that the crack growth occurs along the predefined crack front, and it does not account for changes in crack growth direction during the simulation. This can be a limitation when dealing with complex crack growth paths or when considering crack branching [41].
- Load redistribution: FRANC3D may not consider load redistribution effects as the crack propagates. This can lead to inaccuracies in stress intensity factor calculations and crack growth predictions, particularly in cases where load redistribution significantly impacts the crack growth behavior [42].
- FRANC3D is designed to handle arbitrarily complex component geometries and local loading conditions. However, when dealing with non-planar crack growth, especially under plane strain conditions, FRANC3D may face challenges. Local crack front elements can become highly distorted.
2.1.3. ZENCRACK
- Incorporation of Multiple Defects: ZENCRACK enables engineers to include multiple defects within a component during the analysis process. This flexibility allows for a more accurate representation of real-world scenarios, enhancing the reliability of the simulation [46].
- Support for Complex Loading Conditions: ZENCRACK offers extensive support for various complex loading conditions. This includes the consideration of residual stress resulting from shot peening [47], the analysis of time-dependent or sustained load crack growth, as well as the ability to perform fatigue-only and time-only analyses. Additionally, ZENCRACK facilitates the investigation of combined fatigue and time-dependent crack growth phenomena.
- ABAQUS Plug-in: ZENCRACK is a freely distributed plug-in specifically designed to be used with the commercial finite element (FE) software ABAQUS.
- Meshing limitations: ZENCRACK relies on external FE packages for mesh generation, which means it inherits any limitations or challenges associated with those packages. The complexity of creating meshes for highly intricate crack geometries or non-standard shapes can pose difficulties in accurately representing the crack and its surrounding region [48,49,50,51]. ZENCRACK does not have its own mesh generator. Instead, it relies on external general-purpose finite element (FE) packages like ABAQUS [43,44], ANSYS [45,46], and MSC.MARC [47] to create the mesh for the uncracked geometry. The mesh generation process, including the creation of pure hexahedral elements throughout the structure, is performed using these external FE packages.
- Material models: The range of available material models in ZENCRACK for fatigue crack growth analysis may be limited. It is crucial to ensure that the selected material model accurately represents the behavior of the material under fatigue loading conditions.
- Remeshing limitations: Although ZENCRACK introduces crack-block elements to refine the mesh around the crack front, some limitations and numerical errors associated with remeshing have been reported in the literature. These issues may affect the accuracy of crack growth predictions or introduce computational challenges [52,53].
- Computational resources: Like any software conducting complex simulations, a fatigue crack growth analysis in ZENCRACK can be computationally demanding. Adequate computational resources, such as processing power and memory, may be required to perform simulations within reasonable time frames.
2.1.4. LYNX
- The software also offers capabilities for analyzing crack closure, stress intensity factors, and crack growth rates. LYNX can integrate with a range of software commonly used in engineering, including CAD software for geometry creation, mesh generation software, and post-processing tools like ParaView or MATLAB.
- It also supports interoperability with structural analysis software such as ANSYS or Abaqus. LYNX 171 is the latest version of the software, which integrates with other software packages like ABAQUS for modeling fatigue crack growth.
- LYNX has been extensively validated through numerous studies and real-world applications. It has been successfully applied in various industries, including aerospace, automotive, and structural engineering, to analyze and predict fatigue crack growth behavior. Its accuracy and reliability have been demonstrated through comparisons with experimental data and benchmark problems [57,58].
- Geometric configurations: While LYNX offers a comprehensive set of geometric configurations, including notched and unnotched plates, round bars, and bars with corner cracks, it may not cover all possible geometries. Users should check if their specific geometry is supported by LYNX before conducting their analysis.
- Material models: The range of available material models in LYNX for fatigue crack growth analysis may be limited. It is important to ensure that the selected material model accurately represents the behavior of the material under fatigue loading conditions.
- Integration limitations: While LYNX 171 integrates with other software packages like ABAQUS for modeling fatigue crack growth, there may be limitations or challenges in the integration process. Compatibility issues or difficulties in transferring models between different software platforms can arise.
2.1.5. FEMFAT
- The software seamlessly integrates with popular finite element analysis (FEA) software packages like ANSYS, ABAQUS, and MSC Nastran, enabling effortless transfer of geometry, mesh, and loading conditions [62,63,64]. This integration streamlines the analysis workflow and enhances the accuracy of fatigue life predictions. FEMFAT can directly import the geometry of the component or structure from the FEA software, eliminating the need for manual reconstruction and ensuring consistency. It can also import the mesh, including element connectivity and nodal coordinates, preserving structural details.
- FEMFAT accesses the loading conditions from the FEA software, such as forces or displacements, which are crucial for fatigue analysis. Additionally, it retrieves the results of the FEA analysis, like stress distribution and strain data, to facilitate realistic and accurate fatigue life assessment [65,66,67].
- FEMFAT offers a range of analysis options that are suitable for both metallic and non-metallic components. It allows for the simultaneous analysis of base materials as well as welded and/or spot joints. Additionally, FEMFAT incorporates the effects of different manufacturing processes on the fatigue behavior of components. It specifically considers processes such as shot peening, rolling, carburizing, and nitriding, as they have a significant impact on the component’s fatigue properties [68].
- FEMFAT provides a unified framework for modeling fatigue crack growth. It covers the entire fracture evolution, including nucleation, propagation, branching, and kinking [69].
- FEMFAT takes into account the influence of residual stress distribution near the crack tip. This consideration enhances the accuracy of fatigue life predictions [70].
- Limited to Low-Cycle Fatigue: FEMFAT is primarily designed for low-cycle fatigue analysis, which is typically applicable to components subjected to high loads and a relatively small number of stress cycles. It may not be as effective in analyzing high-cycle fatigue or very long-life situations [71,72].
- Lack of Environmental Effects: FEMFAT primarily focuses on mechanical loading and fatigue behavior. It does not account for environmental factors, such as temperature, humidity, or corrosive conditions, which can significantly affect fatigue life.
- FEMFAT may encounter issues when all element nodes are declared as weld nodes at a shell element. This can lead to interpretation errors and overly conservative results for certain stress conditions.
2.1.6. COMSOL Multiphysics
- COMSOL Multiphysics allows for the integration of multiple physics modules, such as structural mechanics, thermomechanical fatigue, heat transfer, and materials science. This capability enables users to simulate the complex interactions between different physical phenomena that influence fatigue crack growth [75,76,77].
- COMSOL provides a wide range of material models and allows for the creation of custom material models based on experimental data. This flexibility enables users to accurately capture the fatigue behavior of different materials, including metals, composites, polymers, and more. Users can incorporate material-specific properties, such as fatigue curves, fracture toughness, and cyclic plasticity, to enhance the accuracy of fatigue crack growth simulations [77].
- COMSOL Multiphysics allows users to define the geometry of the crack with high precision. Users can specify the crack shape, size, and orientation, ensuring an accurate representation of the actual crack [78,79]. This level of detail is crucial for capturing the stress concentration and accurately predicting crack growth behavior.
- Powerful Post-Processing and Visualization: COMSOL offers powerful post-processing and visualization tools to analyze and interpret simulation results. Users can extract relevant quantities, such as stress intensity factors, crack growth rates, and fatigue life predictions. The software provides graphical representations, including contour plots, 3D visualizations, and animations, facilitating a deeper understanding of the crack growth behavior and aiding in the communication of findings [82,83,84].
- Phase-field modeling for fatigue fracture problems can be implemented and analyzed using tools such as MATLAB and COMSOL. These tools enable researchers to investigate and gain valuable insights into the applicability and feasibility of phase-field modeling for studying fatigue fracture phenomena [84,85,86].
- Simplified Material Models: The module employs simplified material models for fatigue analysis. While these models are useful for many engineering applications, they may not capture all the intricacies of real-world materials.
- Like any finite element analysis software, COMSOL’s results can be sensitive to mesh density. Proper mesh refinement is crucial for accurate fatigue predictions [88].
- The module does not explicitly account for environmental factors (e.g., humidity and corrosive agents) that can significantly influence fatigue behavior.
- While the module handles simple loading histories well, more complex loadings (e.g., non-proportional, variable amplitude) might require additional considerations.
- User Expertise: Interpreting fatigue results requires expertise in both fatigue mechanics and the software. Users should understand the underlying assumptions and limitations.
2.1.7. ANSYS Workbench
- Efficiency and Cost-Effectiveness: Traditionally, fatigue crack growth analysis involved extensive physical testing, which could be both time-consuming and expensive. However, with advancements in numerical simulation techniques, engineers and researchers now have a powerful tool at their disposal to predict and analyze crack behavior in a more efficient and cost-effective manner [98].
- Mesh-Based Tetrahedron Approach: ANSYS introduces the Smart Crack Growth mesh-based tetrahedron, which simplifies the modeling process. After completing the mesh, you can add the pre-meshed crack requirement, allowing you to select the type of crack growth. The sphere of influence process refines the mesh around the crack tip, enhancing accuracy.
- Multiple Crack Support: ANSYS SMART Crack Growth supports multiple cracks, allowing you to analyze complex structures with multiple crack fronts [105].
- Automatic Crack Initiation and Growth Arrest: The tool automatically handles crack initiation and growth arrest, streamlining the simulation process [108].
- Cohesive Zone Modeling (CZM) Element Support: For growing cracks, the method assumes that the discontinuities cut the element fully. As the crack grows, newly introduced crack segments are assumed to have cohesive zone behavior.
- The material properties assigned to the predefined materials must be complete and accurate. For instance, if you are using the Paris crack growth law, ensure that you define the coefficient and constant for Paris’s law in the engineering data. Incomplete or incorrect material definitions can affect the accuracy of crack growth predictions.
- The SMART Crack Growth method relies on mesh refinement around the crack tip. However, mesh quality and element size play a crucial role in capturing accurate stress fields. If the mesh is not adequately refined near the crack tip, the results may be less reliable [97].
- The SMART Crack Growth feature is primarily designed for fatigue crack growth analysis in metallic materials with LEFM behavior. It may not be suitable for other types of materials, such as composites or polymers, or for crack growth phenomena influenced by factors beyond fatigue, such as environmental effects or creep [95].
- The SMART Crack Growth feature typically assumes that the crack will propagate in the direction of the maximum principal stress or strain. While this assumption is often valid, it may not accurately represent complex crack growth patterns influenced by factors such as material anisotropy, stress gradients, or geometrical constraints.
- The SMART Crack Growth feature primarily focuses on fatigue crack growth in structural components subjected to cyclic loading. It may not adequately consider the influence of environmental factors, such as corrosion, temperature, humidity, or aggressive media, which can significantly affect crack growth behavior.
- Fatigue crack growth in SMART is based on Paris’s law, and it may not account for plasticity effects, nonlinear geometry effects, load-compression effects, and crack-tip-closure effects [109].
2.2. Analytical-Based Approaches
3. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Jones, R. Fatigue crack growth and damage tolerance. Fatigue Fract. Eng. Mater. Struct. 2014, 37, 463–483. [Google Scholar] [CrossRef]
- Ellyin, F. Fatigue Damage, Crack Growth and Life Prediction; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2012. [Google Scholar]
- Grandt, A.F., Jr. Fundamentals of Structural Integrity: Damage Tolerant Design and Nondestructive Evaluation; John Wiley & Sons: Hoboken, NJ, USA, 2003. [Google Scholar]
- Singh, I.V.; Mishra, B.; Bhattacharya, S.; Patil, R. The numerical simulation of fatigue crack growth using extended finite element method. Int. J. Fatigue 2012, 36, 109–119. [Google Scholar] [CrossRef]
- Roth, S.; Hütter, G.; Kuna, M. Simulation of fatigue crack growth with a cyclic cohesive zone model. Int. J. Fract. 2014, 188, 23–45. [Google Scholar] [CrossRef]
- Branco, R.; Antunes, F.; Costa, J. A review on 3D-FE adaptive remeshing techniques for crack growth modelling. Eng. Fract. Mech. 2015, 141, 170–195. [Google Scholar] [CrossRef]
- Rege, K.; Lemu, H. A review of fatigue crack propagation modelling techniques using FEM and XFEM. In IOP Conference Series: Materials Science and Engineering, Proceedings of the First Conference of Computational Methods in Offshore Technology (COTech2017), Stavanger, Norway, 30 November–1 December 2017; IOP Publishing: Bristol, UK, 2017; p. 012027. [Google Scholar]
- He, W.; Liu, J.; Xie, D. Numerical study on fatigue crack growth at a web-stiffener of ship structural details by an objected-oriented approach in conjunction with ABAQUS. Mar. Struct. 2014, 35, 45–69. [Google Scholar] [CrossRef]
- Malekan, M.; Khosravi, A.; St-Pierre, L. An Abaqus plug-in to simulate fatigue crack growth. Eng. Comput. 2021, 38, 2991–3005. [Google Scholar] [CrossRef]
- Nasri, K.; Zenasni, M. Fatigue crack growth simulation in coated materials using X-FEM. Comptes Rendus Mec. 2017, 345, 271–280. [Google Scholar] [CrossRef]
- Bergara, A.; Dorado, J.; Martin-Meizoso, A.; Martínez-Esnaola, J. Fatigue crack propagation in complex stress fields: Experiments and numerical simulations using the Extended Finite Element Method (XFEM). Int. J. Fatigue 2017, 103, 112–121. [Google Scholar] [CrossRef]
- Xu, Y.; Yuan, H. Computational analysis of mixed-mode fatigue crack growth in quasi-brittle materials using extended finite element methods. Eng. Fract. Mech. 2009, 76, 165–181. [Google Scholar] [CrossRef]
- Chen, Z.; Dai, Y.; Liu, Y. Life prediction of corrosion-fatigue based on a new crack growth rate model with damage and the extended finite element method. Eng. Fract. Mech. 2023, 289, 109445. [Google Scholar] [CrossRef]
- Mousa, S.; Mutnbak, M.; Abd-Elhady, A.A.; Sallam, H.E.-D.M.; Reda, R.M. The efficiency of advanced polymeric composite sleeves in the rehabilitation of cracked pipelines under combined loadings. J. Mater. Res. Technol. 2023, 25, 6395–6406. [Google Scholar] [CrossRef]
- Mousa, S.; Mutnbak, M.; Saba, A.-A.M.; Abd-Elhady, A.A.; Sallam, H.E.-D.M. Numerical study and experimental validation of the size effect of smooth and mode I cracked semi-circular bend specimens. Sci. Rep. 2023, 13, 7570. [Google Scholar] [CrossRef] [PubMed]
- Wang, C.; Pereira, K.; Wang, D.; Zinovev, A.; Terentyev, D.; Wahab, M.A. Fretting fatigue crack propagation under out-of-phase loading conditions using extended maximum tangential stress criterion. Tribol. Int. 2023, 187, 108738. [Google Scholar] [CrossRef]
- Moroni, F.; Pirondi, A. A procedure for the simulation of fatigue crack growth in adhesively bonded joints based on the cohesive zone model and different mixed-mode propagation criteria. Eng. Fract. Mech. 2011, 78, 1808–1816. [Google Scholar] [CrossRef]
- Rabold, F.; Kuna, M. Automated finite element simulation of fatigue crack growth in three-dimensional structures with the software system ProCrack. Procedia Mater. Sci. 2014, 3, 1099–1104. [Google Scholar] [CrossRef]
- Dougherty, J.; Padovan, J.; Srivatsan, T. Fatigue crack propagation and closure behavior of modified 1070 steel: Finite element study. Eng. Fract. Mech. 1997, 56, 189–212. [Google Scholar] [CrossRef]
- Shi, J.; Chopp, D.; Lua, J.; Sukumar, N.; Belytschko, T. Abaqus implementation of extended finite element method using a level set representation for three-dimensional fatigue crack growth and life predictions. Eng. Fract. Mech. 2010, 77, 2840–2863. [Google Scholar] [CrossRef]
- Pirondi, A.; Moroni, F. A progressive damage model for the prediction of fatigue crack growth in bonded joints. J. Adhes. 2010, 86, 501–521. [Google Scholar] [CrossRef]
- Yang, Y.; Vormwald, M. Fatigue crack growth simulation under cyclic non-proportional mixed mode loading. Int. J. Fatigue 2017, 102, 37–47. [Google Scholar] [CrossRef]
- Chen, Z.; Bao, H.; Dai, Y.; Liu, Y. Numerical prediction based on XFEM for mixed-mode crack growth path and fatigue life under cyclic overload. Int. J. Fatigue 2022, 162, 106943. [Google Scholar] [CrossRef]
- Huang, C.; Chen, T.; Feng, S. Finite element analysis of fatigue crack growth in CFRP-repaired four-point bend specimens. Eng. Struct. 2019, 183, 398–407. [Google Scholar] [CrossRef]
- Huang, C.; Chen, T.; Xia, Z.; Jiang, L. Numerical study of surface fatigue crack growth in steel plates repaired with CFRP. Eng. Struct. 2022, 268, 114743. [Google Scholar] [CrossRef]
- Lee, G.-B.; Jang, Y.-Y.; Huh, N.-S.; Park, S.-H.; Park, N.-H.; Park, J.; Park, K. Crack growth simulation using iterative crack-Tip modeling technique. In Proceedings of the Pressure Vessels and Piping Conference, Las Vegas, NV, USA, 17–22 July 2022; p. V04AT06A001. [Google Scholar]
- Pervan, N.; Trobradovic, M.; Muminovic, A.J.; Lulic, H.; Metovic, S.; Hadziabdic, V. Effects of Geometry Design Parameters on the Fatigue Failure of a Drive Axle Housing using Finite Element Analysis. Eng. Technol. Appl. Sci. Res. 2024, 14, 12567–12573. [Google Scholar] [CrossRef]
- Huňady, R.; Fabian, M.; Lengvarský, P.; Mareš, A.; Kupec, F. Design and fatigue analysis of an aluminium alloy aerodynamic wheel. Int. J. Veh. Des. 2021, 85, 97–113. [Google Scholar] [CrossRef]
- Kim, J.-S.; Lee, H.-J.; Kim, Y.-J.; Kim, Y.-B. The mesh density effect on stress intensity factor calculation using ABAQUS XFEM. J. Mech. Sci. Technol. 2019, 33, 4909–4916. [Google Scholar] [CrossRef]
- London, T.; De Bono, D.; Sun, X. An evaluation of the low cycle fatigue analysis procedure in abaqus for crack propagation: Numerical benchmarks and experimental validation. In Proceedings of the SIMULIA UK Regional Users Meeting, Manchester, UK, 3–4 November 2015. [Google Scholar]
- Dirik, H.; Yalçinkaya, T. Crack path and life prediction under mixed mode cyclic variable amplitude loading through XFEM. Int. J. Fatigue 2018, 114, 34–50. [Google Scholar] [CrossRef]
- Urooj, S.; Singh, M.; Dohare, R.; Yadav, A.; Ghosh, S.; Sharma, S. Computation & analysis of aluminum and steel structures by using ABAQUS software for engineering applications. In Proceedings of the 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), Ghaziabad, India, 28–29 November 2014; pp. 98–103. [Google Scholar]
- Haeg, J.; Elfving, F. Potentials and Limitations in Finite Element Based Crack Propagation Analysis Using FRANC3D. Master’s Thesis, Chalmers University of Technology, Göteborg, Sweden, 2020. [Google Scholar]
- Escalero, M.; Blasón, S.; Zabala, H.; Torca, I.; Urresti, I.; Muniz-Calvente, M.; Fernández-Canteli, A. Study of alternatives and experimental validation for predictions of hole-edge fatigue crack growth in 42CrMo4 steel. Eng. Struct. 2018, 176, 621–631. [Google Scholar] [CrossRef]
- Zhang, X.; Li, L.; Qi, X.; Zheng, J.; Zhang, X.; Chen, B.; Feng, J.; Duan, S. Experimental and numerical investigation of fatigue crack growth in the cracked gear tooth. Fatigue Fract. Eng. Mater. Struct. 2017, 40, 1037–1047. [Google Scholar] [CrossRef]
- Chen, C.-S.; Wawrzynek, P.; Ingraffea, A. A methodology for fatigue crack growth and residual strength prediction with applications to aircraft fuselages. Comput. Mech. 1997, 19, 527–532. [Google Scholar] [CrossRef]
- Alizadeh, H.; Simandjuntak, S.; Smith, D.; Pavier, M. Prediction of fatigue crack growth rates using crack closure finite element analysis. Int. J. Fatigue 2007, 29, 1711–1715. [Google Scholar] [CrossRef]
- Leser, P.E.; Hochhalter, J.D.; Warner, J.E.; Newman, J.A.; Leser, W.P.; Wawrzynek, P.A.; Yuan, F.-G. IWSHM 2015: Probabilistic fatigue damage prognosis using surrogate models trained via 3D finite element analysis. Struct. Health Monit. 2017, 16, 291–308. [Google Scholar] [CrossRef]
- Buchholz, F.G.; Just, V.; Richard, H. Computational simulation and experimental findings of three-dimensional fatigue crack growth in a single-edge notched specimen under torsion loading. Fatigue Fract. Eng. Mater. Struct. 2005, 28, 127–134. [Google Scholar] [CrossRef]
- Kolk, K.; Kuhn, G. The advanced simulation of fatigue crack growth in complex 3D structures. Arch. Appl. Mech. 2006, 76, 699–709. [Google Scholar] [CrossRef]
- Busse, C. Accounting for Non-Linear Effects in Fatigue Crack Propagation Simulations Using FRANC3D. Master’s Thesis, Linköping University, Linköping, Sweden, 2014. [Google Scholar]
- Wawrzynek, P.; Carter, B.; Hwang, C.-Y.; Ingraffea, A. Advances in simulation of arbitrary 3D crack growth using FRANC3Dv5. J. Comput. Struct. Eng. Inst. Korea 2010, 23, 607–613. [Google Scholar]
- Chandwani, R.; Timbrell, C.; Basu, A.; Chakrabarti, P.; Cook, G.; TX, Z.I.H. Improved Life Prediction of Turbine Engine Components Using a Finite Element Based Software Called ZENCRACK™; AFRL-ML-WP-TR-2004-4014; Wright Patterson AFB: Dayton, OH, USA, 2003. [Google Scholar]
- Poursaeidi, E.; Kavandi, A.; Vaezi, K.; Kalbasi, M.; Arhani, M.M. Fatigue crack growth prediction in a gas turbine casing. Eng. Fail. Anal. 2014, 44, 371–381. [Google Scholar] [CrossRef]
- Infante, V.; Silva, J. Case studies of computational simulations of fatigue crack propagation using finite elements analysis tools. Eng. Fail. Anal. 2011, 18, 616–624. [Google Scholar] [CrossRef]
- Hou, J.; Goldstraw, M.; Maan, S.; Knop, M. An Evaluation of 3D Crack Growth Using ZENCRACK; Defense Technical Information Center: Fort Belvoir, VA, USA, 2001. [Google Scholar]
- Salehnasab, B.; Marzbanrad, J.; Poursaeidi, E. Conventional shot peening treatment effects on thermal fatigue crack growth and failure mechanisms of a solid solution alloy. Eng. Fail. Anal. 2024, 155, 107740. [Google Scholar] [CrossRef]
- Maligno, A.; Rajaratnam, S.; Leen, S.; Williams, E. A three-dimensional (3D) numerical study of fatigue crack growth using remeshing techniques. Eng. Fract. Mech. 2010, 77, 94–111. [Google Scholar] [CrossRef]
- Chandwani, R.; Wiehahn, M.; Timbrell, C. 3D Fracture mechanics in ANSYS. In Proceedings of the UK ANSYS Conference, Warwickshire, UK, 15–16 November 2004. [Google Scholar]
- Choi, J.; Lee, G.; Lee, B. A study on the thermo-mechanical fatigue loading for attaining minimum cycles in fabricating an artificial cracked specimen. In Proceedings of the Fourth China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, Kunming, China, 6–9 November 2006. [Google Scholar]
- Timbrell, C.; Cook, G.; Chandwani, R. 3D crack analysis using MSC. Marc. In Proceedings of the 1st Northern European Technology Conference, Manchester, UK, 7–8 June 2000. [Google Scholar]
- Citarella, R.; Maligno, A.; Shlyannikov, V. FEM simulation of a crack propagation in a round bar under combined tension and torsion fatigue loading. Fract. Struct. Integr. 2015, 31, 138–147. [Google Scholar] [CrossRef]
- Maligno, A.; Soutis, C.; Silberschmidt, V. An advanced numerical tool to study fatigue crack propagation in aluminium plates repaired with a composite patch. Eng. Fract. Mech. 2013, 99, 62–78. [Google Scholar] [CrossRef]
- Branco, R.; Antunes, F.; Costa, J. Lynx: A user-friendly computer application for simulating fatigue growth of planar cracks using FEM. Comput. Appl. Eng. Educ. 2014, 22, 529–540. [Google Scholar] [CrossRef]
- Branco, R.; Antunes, F.; Costa, J. Lynx: New tool to model mode-I fatigue crack propagation. In Proceedings of the 4th International Conference on Fatigue Crack Paths (CP2012), Gaeta, Italy, 19–21 September 2012; pp. 19–21. [Google Scholar]
- Branco, R.; Antunes, F.; Costa, J.; Yang, F.P.; Kuang, Z.B. Determination of the Paris law constants in round bars from beach marks on fracture surfaces. Eng. Fract. Mech. 2012, 96, 96–106. [Google Scholar] [CrossRef]
- Branco, R.; Antunes, F.; Costa, J. Extent of the surface region in notched Middle Cracked Tension specimens. Key Eng. Mater. 2013, 560, 107–127. [Google Scholar] [CrossRef]
- Branco, R.; Antunes, F.; Costa, J. Notched M (T) specimen for plane strain studies. Int. J. Fatigue 2014, 58, 28–39. [Google Scholar] [CrossRef]
- Branco, R.; Antunes, F.; Ricardo, L.; Costa, J. Extent of surface regions near corner points of notched cracked bodies subjected to mode-I loading. Finite Elem. Anal. Des. 2012, 50, 147–160. [Google Scholar] [CrossRef]
- Scozzafave, C.; Ericsson, L.; Wildmann, U.; Spinelli, D. Development of a Fatigue Analysis Methodology Using the Software FEMFAT Strain®; 0148-7191; SAE Technical Paper: Warrendale, PA, USA, 2013. [Google Scholar]
- Biswal, R.; Zhang, X.; Syed, A.K.; Awd, M.; Ding, J.; Walther, F.; Williams, S. Criticality of porosity defects on the fatigue performance of wire+ arc additive manufactured titanium alloy. Int. J. Fatigue 2019, 122, 208–217. [Google Scholar] [CrossRef]
- Ozturk, U.E. Efficient method for fatigue based shape optimization of the oil sump carrying a differential case in four wheel drive vehicles. Struct. Multidiscip. Optim. 2011, 44, 823–830. [Google Scholar] [CrossRef]
- Ozturk, U.E. A novel approach for efficient fatigue based shape optimisation of large scale finite element analysis models. Int. J. Veh. Des. 2017, 75, 139–153. [Google Scholar] [CrossRef]
- Ramos, H.; Tavares, S.; de Castro, P. Numerical modelling of welded T-joint configurations using SYSWELD. Sci. Technol. Mater. 2018, 30, 6–15. [Google Scholar] [CrossRef]
- Que, T.; Jiang, D.; Sun, S.; Gong, X. Crankshaft High-Cycle Bending Fatigue Experiment Design Method Based on Unscented Kalman Filtering and the Theory of Crack Propagation. Materials 2023, 16, 7186. [Google Scholar] [CrossRef]
- Luo, Y.; Yue, G.; Chen, B.; Huang, B.; Liu, F.; Zhou, L.; Mao, X.; Deng, S.; Du, J.; Liu, K. Fatigue fracture analysis of the 42CrMo4 crankshaft used for mining dump truck. Eng. Fail. Anal. 2023, 154, 107724. [Google Scholar] [CrossRef]
- Wu, C.; Sun, S. Crankshaft structural equivalent fatigue research based on the residual stress field and the ITCD approach. High Temp. Mater. Process. Int. Q. High-Technol. Plasma Process. 2023, 27, 75–93. [Google Scholar] [CrossRef]
- Aghareb Parast, M.S.; Jamalkhani Khameneh, M.; Azadi, M.; Azadi, M.; Mahdipanah, M.H.; Roostaie, S. Effect of plasma nitriding on high-cycle fatigue properties and fracture behaviors of GJS700 nodular cast iron under cyclic bending loading. Fatigue Fract. Eng. Mater. Struct. 2021, 44, 2070–2086. [Google Scholar] [CrossRef]
- Yan, S.; Schreiber, C.; Müller, R. An efficient implementation of a phase field model for fatigue crack growth. Int. J. Fract. 2022, 237, 47–60. [Google Scholar] [CrossRef]
- Bahloul, A.; Bouraoui, C.; Boukharouba, T. Prediction of fatigue life by crack growth analysis. Int. J. Adv. Manuf. Technol. 2017, 91, 4009–4017. [Google Scholar] [CrossRef]
- Pierron, O.; Abnet, C.; Muhlstein, C. Methodology for low-and high-cycle fatigue characterization with kHz-frequency resonators. Sens. Actuators A Phys. 2006, 128, 140–150. [Google Scholar] [CrossRef]
- Pyttel, B.; Berger, C.; Schneider, N.; Bruder, T.; Eufinger, J. Approaches to fatigue life assessment applied in the very high cycle regime. Mater. Werkst. 2011, 42, 934–941. [Google Scholar] [CrossRef]
- Costa, E.A. FE-Based Weld Fatigue Life Prediction of Powertrain Installation Bracketry; 0148-7191; SAE Technical Paper: Warrendale, PA, USA, 2016. [Google Scholar]
- Prabhakar, M.; Prasad, A.; Paswan, M. Influence of loading sequence and residual stresses affecting the fatigue life of axle housing and crack path analysis using local approaches. Eng. Fail. Anal. 2020, 116, 104753. [Google Scholar] [CrossRef]
- Zhang, Y.; He, H.; Niu, C.; Wu, Y.; Liu, M.; Liu, S.; Liu, Y.; Wu, C.; Rong, M. Interfacial Crack Growth-Based Fatigue Lifetime Prediction of Thermoelectric Modules under Thermal Cycling. ACS Appl. Mater. Interfaces 2023, 16, 1137–1147. [Google Scholar] [CrossRef]
- Vajdi, M.; Moghanlou, F.S.; Sharifianjazi, F.; Asl, M.S.; Shokouhimehr, M. A review on the Comsol Multiphysics studies of heat transfer in advanced ceramics. J. Compos. Compd. 2020, 2, 35–43. [Google Scholar] [CrossRef]
- Vo, D.-T.; Mai, T.-D.; Kim, B.; Jung, J.-S.; Ryu, J. Numerical investigation of crack initiation in high-pressure gas turbine blade subjected to thermal-fluid-mechanical low-cycle fatigue. Int. J. Heat Mass Transf. 2023, 202, 123748. [Google Scholar] [CrossRef]
- Jafari, A.; Broumand, P.; Vahab, M.; Khalili, N. An eXtended finite element method implementation in COMSOL multiphysics: Solid mechanics. Finite Elem. Anal. Des. 2022, 202, 103707. [Google Scholar] [CrossRef]
- Ammendolea, D.; Greco, F.; Leonetti, L.; Lonetti, P.; Pascuzzo, A. Fatigue crack growth simulation using the moving mesh technique. Fatigue Fract. Eng. Mater. Struct. 2023, 46, 4606–4627. [Google Scholar] [CrossRef]
- Tabatabaian, M. COMSOL5 for Engineers; Mercury Learning and Information: Dulles, VA, USA, 2015. [Google Scholar]
- Dua, M. Microwave Absorption of Multifunctional Graphene Based Polylactide Acid Composites: Experimental and Numerical Study. Master’s Thesis, University of Alberta, Edmonton, AB, Canada, 2022. [Google Scholar]
- Jüttner, M.; Grabmaier, S.; Rucker, W.M. Web based 3D Visualization for COMSOL Multiphysics®. In Proceedings of the European COMSOL Conference, Cambridge, UK, 17–19 September 2014. [Google Scholar]
- Arefin, K.S.; Bhowmik, P.; Rony, M.W.; Azam, M.N. Simulation of a time dependent 2D generator model using COMSOL Multiphysics. Int. J. Adv. Eng. Technol. 2012, 4, 85. [Google Scholar]
- Degwekar, S.; Purantagi, A.M.; Tzanetou, A.; Zetterlund, G.; Åkesson, L. Phase-Field Modelling of Fatigue Crack Propagation. Master’s Thesis, Chalmers University of Technology, Göteborg, Sweden, 2023. [Google Scholar]
- Mollaali, M.; Kolditz, O.; Hu, M.; Park, C.H.; Park, J.W.; McDermott, C.I.; Chittenden, N.; Bond, A.; Yoon, J.S.; Zhou, J. Comparative verification of hydro-mechanical fracture behavior: Task G of international research project DECOVALEX–2023. Int. J. Rock Mech. Min. Sci. 2023, 170, 105530. [Google Scholar] [CrossRef]
- Chen, W.-X.; Wu, J.-Y. Phase-field cohesive zone modeling of multi-physical fracture in solids and the open-source implementation in Comsol Multiphysics. Theor. Appl. Fract. Mech. 2022, 117, 103153. [Google Scholar] [CrossRef]
- Harikumar, J.; Roux, R. Crack Propagation in Dynamic Power Cables. Master’s Thesis, Chalmers University of Technology, Göteborg, Sweden, 2021. [Google Scholar]
- Preney, T.; Namy, P.; Wheeler, J. Adaptive mesh refinement: Quantitative computation of a rising bubble using COMSOL Multiphysics®. In Proceedings of the COMSOL Conf, Munich, Germany, 12–14 October 2016. [Google Scholar]
- Halford, G. Low-Cycle Thermal Fatigue; Stresses, T., II, Hetnarski, R.B., Eds.; Lewis Research Center: Cleveland, OH, USA, 1987. [Google Scholar]
- Sehitoglu, H. Thermal and thermomechanical fatigue of structural alloys. Fatigue Fract. 1996, 19, 527–556. [Google Scholar]
- Alshoaibi, A.M. Computational simulation of 3D fatigue crack growth under mixed-mode loading. Appl. Sci. 2021, 11, 5953. [Google Scholar] [CrossRef]
- Alshoaibi, A.M.; Fageehi, Y.A. 3D modelling of fatigue crack growth and life predictions using ANSYS. Ain Shams Eng. J. 2022, 13, 101636. [Google Scholar] [CrossRef]
- Alshoaibi, A.M.; Fageehi, Y.A. Finite Element Simulation of a Crack Growth in the Presence of a Hole in the Vicinity of the Crack Trajectory. Materials 2022, 15, 363. [Google Scholar] [CrossRef]
- Alshoaibi, A.M.; Fageehi, Y.A. Numerical Analysis on Fatigue Crack Growth at Negative and Positive Stress Ratios. Materials 2023, 16, 3669. [Google Scholar] [CrossRef] [PubMed]
- Fageehi, Y.A.; Alshoaibi, A.M. Investigating the Influence of Holes as Crack Arrestors in Simulating Crack Growth Behavior Using Finite Element Method. Appl. Sci. 2024, 14, 897. [Google Scholar] [CrossRef]
- Alshoaibi, A.M.; Fageehi, Y.A. Numerical analysis of fatigue crack growth path and life predictions for linear elastic material. Materials 2020, 13, 3380. [Google Scholar] [CrossRef]
- Alshoaibi, A.M. Fatigue crack growth analysis under constant amplitude loading using finite element method. Materials 2022, 15, 2937. [Google Scholar] [CrossRef] [PubMed]
- Alshoaibi, A.M. Fatigue Crack Growth Analysis in Modified Compact Tension Specimen with Varying Stress Ratios: A Finite Element Study. Appl. Sci. 2023, 13, 13160. [Google Scholar] [CrossRef]
- Bashiri, A.H. 2D and 3D numerical simulation of fatigue crack growth path and life predictions of a linear elastic. Mater. Sci.-Pol. 2021, 39, 285–297. [Google Scholar] [CrossRef]
- Fageehi, Y.A.; Alshoaibi, A.M. Numerical Simulation of Mixed-Mode Fatigue Crack Growth for Compact Tension Shear Specimen. Adv. Mater. Sci. Eng. 2020, 2020, 5426831. [Google Scholar] [CrossRef]
- Alshoaibi, A.; Ghazwani, M.; Hakami, M. Fatigue life and reliability assessment of metal structures. Eng. Solid Mech. 2021, 9, 13–22. [Google Scholar] [CrossRef]
- Doğan, O.; Kalay, O.; Karpat, F. Effects of crack initialization angle on crack propagation path of thin rim gears for wind turbines. Uludağ Üniv. Mühendislik Fakültesi Derg. 2020, 25, 217–230. [Google Scholar]
- Vlădulescu, F.; Constantinescu, D.M. Lattice topology homogenization and crack propagation through finite element analyses. Procedia Struct. Integr. 2020, 28, 637–647. [Google Scholar] [CrossRef]
- Karpat, F.; Dogan, O.; Yilmaz, T.; Yuce, C.; Kalay, O.C.; Karpat, E.; Kopmaz, O. Effects of drive side pressure angle on gear fatigue crack propagation life for spur gears with symmetric and asymmetric teeth. In Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Salt Lake City, UT, USA, 11–14 November 2019; p. V009T011A050. [Google Scholar]
- Abbey, T. Get Cracking with ANSYS Workbench 19.2. 2019. Available online: https://www.digitalengineering247.com/article/get-cracking-with-ansys-workbench-19.2 (accessed on 9 February 2024).
- Comlekci, T.; Pérez, J.M.; Milne, L.; Gorash, Y.; Mackenzie, D. Structural steel crack propagation experimental and numerical analysis. Procedia Struct. Integr. 2022, 42, 694–701. [Google Scholar] [CrossRef]
- Alshoaibi, A.M. Comprehensive Comparisons of Two and Three Dimensional Numerical Estimation of Stress Intensity Factors and Crack propagation in Linear Elastic Analysis. Int. J. Integr. Eng. 2019, 11, 45–52. [Google Scholar] [CrossRef]
- Fageehi, Y.A. Two-and three-dimensional numerical investigation of the influence of holes on the fatigue crack growth path. Appl. Sci. 2021, 11, 7480. [Google Scholar] [CrossRef]
- Jain, S. Analysis Procedure for High Pressure Components with Defects for Fatigue Loading Using Fracture Mechanics Approach. Ph.D. Thesis, National Institute of Technology Kurukshetra, Thanesar, India, 2022. [Google Scholar]
- Forman, R.; Shivakumar, V.; Cardinal, J.; Williams, L.; McKeighan, P. Fatigue Crack Growth Database for Damage Tolerance Analysis; US Department of Transportation Federal Aviation Administration (FAA), Office of Aviation Research Washington: Washington, DC, USA, 2005. [Google Scholar]
- Lenets, Y.N.; Bellows, R.S. Crack propagation life prediction for Ti-6Al-4V based on striation spacing measurements. Int. J. Fatigue 2000, 22, 521–529. [Google Scholar] [CrossRef]
- Plo, L. The Behavior of Fatigue-Crack Growth in Shipbuilding Steel Using the Esacrack Approach. Mater. Tehnol. 2006, 40, 207. [Google Scholar]
- Gunde, R.B. Analysis of Fatigue Crack Growth Retardation Due to Overloading by Using AFGROW. Ph.D. Thesis, National Institute of Technology, Rourkela, Rourkela, India, 2007. [Google Scholar]
- Meggiolaro, M.A.; de Castro, J.T.P. Automation of the fatigue design under variable amplitude loading using the ViDa software. Int. J. Struct. Integr. 2010, 1, 1. [Google Scholar] [CrossRef]
- Elayeb, A.A.; Grbović, A.; Kastratović, G.; Vidanović, N.; Valenta, T.; Ivanović, I.; Sedmak, A. Fatigue crack growth in a structure exposed to high temperature. Eng. Fail. Anal. 2021, 127, 105493. [Google Scholar] [CrossRef]
- Rashid, A.A.; Imran, R.; Arif, Z.U.; Khalid, M.Y. Finite element simulation technique for evaluation of opening stresses under high plasticity. J. Manuf. Sci. Eng. 2021, 143, 121005. [Google Scholar] [CrossRef]
- Xu, T.; Lu, L.; Zeng, D.; Zou, L. Fretting fatigue crack growth simulation and residual life assessment of railway press-fitted axle. Eng. Fract. Mech. 2023, 286, 109290. [Google Scholar] [CrossRef]
- Sun, Q.; Zhou, G.; Meng, Z.; Jain, M.; Su, X. An integrated computational materials engineering framework to analyze the failure behaviors of carbon fiber reinforced polymer composites for lightweight vehicle applications. Compos. Sci. Technol. 2021, 202, 108560. [Google Scholar] [CrossRef]
- Gori, Y.; Verma, R.P.; Kumar, A.; Patil, P.P. FEA based fatigue crack growth analysis. Mater. Today Proc. 2021, 46, 10575–10581. [Google Scholar] [CrossRef]
- Simoes, M.; Braithwaite, C.; Makaya, A.; Martínez-Pañeda, E. Modelling fatigue crack growth in shape memory alloys. Fatigue Fract. Eng. Mater. Struct. 2022, 45, 1243–1257. [Google Scholar] [CrossRef]
- Verma, R.; Kumar, P.; Jayaganthan, R.; Pathak, H. Extended finite element simulation on Tensile, fracture toughness and fatigue crack growth behaviour of additively manufactured Ti6Al4V alloy. Theor. Appl. Fract. Mech. 2022, 117, 103163. [Google Scholar] [CrossRef]
- Zheng, Y.; Wang, S.; Xue, X.; Tan, H.; Zhou, J. Study on fatigue life of orthotropic steel deck for urban rail transit based on fatigue model test and FEM modelling. Res. Sq. 2022, preprint. [Google Scholar] [CrossRef]
- Shahbazpanahi, S.; Karim, H.; Abdullah, W.; Reuter, U.; Mosavi, A.H. Crack propagation modeling of strengthening reinforced concrete deep beams with CFRP plates. Mater. Res. Express 2021, 8, 095502. [Google Scholar] [CrossRef]
- Engdahl, A.; Khoulani, N. Evaluation of HFMI in Welded Cover-Plates for Strengthening of Steel Bridges—A Review of Previous Research and Finite Element Analysis Based on Effective Notch Stress Method to Evaluate HFMI’s Applicability on Steel Bridges. Master’s Thesis, Chalmers University of Technology, Göteborg, Sweden, 2023. [Google Scholar]
- Zhao, Z.; Ji, A.; Chen, C. Numerical Simulation of Bone Plate with Fatigue Crack and Investigation of Attraction Hole for Retarding Crack Growth. Mol. Cell. Biomech. 2021, 18, 173. [Google Scholar] [CrossRef]
- Al Zoubi, N.F.; Tarlochan, F.; Mehboob, H. Mechanical and fatigue behavior of cellular structure Ti-6AL-4V alloy femoral stems: A finite element analysis. Appl. Sci. 2022, 12, 4197. [Google Scholar] [CrossRef]
- Alaneme, K.K.; Kareem, S.A.; Olajide, J.L.; Sadiku, R.E.; Bodunrin, M.O. Computational biomechanical and biodegradation integrity assessment of Mg-based biomedical devices for cardiovascular and orthopedic applications: A review. Int. J. Lightweight Mater. Manuf. 2022, 5, 251–266. [Google Scholar] [CrossRef]
- Hassen, M.B.; Fakhari, S.M.; Mrad, H. Assessment of crack growth and fatigue life of an axial fan blade based on a Co-simulation approach. Adv. Mater. Sci. 2023, 23, 61–79. [Google Scholar] [CrossRef]
- Wang, W.; Ni, K.; Ma, H.; Xiong, Q.; Wu, Z.; Wang, H.; Fan, C. Fatigue crack propagation simulation of airfoil section blade under aerodynamic and centrifugal loads. Eng. Fract. Mech. 2023, 293, 109702. [Google Scholar] [CrossRef]
- Xiannian, H.; Chuanyong, C.; Haijun, X.; Xiaojun, G.; Xiaoming, S.; Weirong, H. Fatigue crack propagation analysis in an aero-engine turbine disc using computational methods and spin test. Theor. Appl. Fract. Mech. 2023, 124, 103745. [Google Scholar] [CrossRef]
- Liu, H.; Yang, X.; Li, S.; Shi, D. A numerical approach to simulate 3D crack propagation in turbine blades. Int. J. Mech. Sci. 2020, 171, 105408. [Google Scholar] [CrossRef]
- Skoglund, O. Fatigue Life Estimation Based on Lefm and the Study of Initial Parameters; KTH Royal Institute of Technology: Stockholm, Sweden, 2022. [Google Scholar]
- Shaji, E.; Venugopal, P.R.; Velayudhan, G.; Selvakumar, M. Fatigue life prediction of butt weld joint with weld defects at multiple locations. Stroj. Vestn.-J. Mech. Eng. 2022, 68, 350–358. [Google Scholar] [CrossRef]
- Venugopal, A.; Mohammad, R.; Koslan, M.F.S.; Shafie, A.; Ali, A.b.; Eugene, O. Crack Growth Prediction on Critical Component for Structure Life Extension of Royal Malaysian Air Force (RMAF) Sukhoi Su-30MKM. Metals 2021, 11, 1453. [Google Scholar] [CrossRef]
- Venugopal, A.; Mohammad, R.; Koslan, M.F.S. Fatigue Analysis of Crack Growth on Sukhoi Su-30MKM Horizontal Stabilizer Lug. In Proceedings of the International Conference on Engineering Business Management (ICEBM2022), Virtual, 20–21 August 2022; p. 89. [Google Scholar]
- He, J.; Cui, Y.; Liu, Y.; Wang, H. Probabilistic analysis of crack growth in railway axles using a Gaussian process. Adv. Mech. Eng. 2020, 12, 1687814020936031. [Google Scholar] [CrossRef]
- Salehnasab, B.; Poursaeidi, E. Mechanism and modeling of fatigue crack initiation and propagation in the directionally solidified CM186 LC blade of a gas turbine engine. Eng. Fract. Mech. 2020, 225, 106842. [Google Scholar] [CrossRef]
- Wang, Z.; Li, F. Effect of double cracks merge on fatigue crack propagation life of engine heat shield. Mech. Adv. Mater. Struct. 2023, 30, 1–18. [Google Scholar] [CrossRef]
- Bian, J.; Yu, P.; Zhao, Y.; Yao, L.; Wei, P.; Zhao, J. Fatigue crack growth of marine 980 high-strength steel: From standard specimen testing to three-dimensional curved crack life prediction. Ocean Eng. 2024, 296, 116950. [Google Scholar] [CrossRef]
- Perdigão, S.; Cunha, J.; Nogueira, F.; Branco, R.; Antunes, F.V. 3D-FE automatic procedure to evaluate the fatigue life extension by overloading. Mater. Des. Process. Commun. 2020, 2, e110. [Google Scholar] [CrossRef]
- Maia, R.; Branco, R.; Antunes, F.; Oliveira, M.C.; Kotousov, A. Three-dimensional computational analysis of stress state transition in through-cracked plates. Math. Comput. Sci. 2016, 10, 343–352. [Google Scholar] [CrossRef]
- Wang, B.; Xie, L.; Song, J.; He, X.; Luo, W.; Zhao, B.; Mu, T. Failure behavior of aerial bomb lifting lug under variable amplitude loading: Failure analysis and life prediction. Eng. Fail. Anal. 2021, 120, 105000. [Google Scholar] [CrossRef]
- Vassilopoulos, A.P.; Maier, J.; Pinter, G.; Gaier, C. Computational tools for the fatigue life modeling and prediction of composite materials and structures. In Fatigue Life Prediction of Composites and Composite Structures; Elsevier: Amsterdam, The Netherlands, 2020; pp. 635–680. [Google Scholar]
- Nour, O.A. Addis Ababa Institute of Technology School of mechanical and Industrial Engineering Graduate Program in Railway Engineering Developing a Material for Improving Fatigue Strenght of Welded Bogie Frame of Addis Abeba Light Rail Transit. Ph.D. Thesis, Addis Ababa University, Addis Ababa, Ethiopia, 2017. [Google Scholar]
- Wang, H.; Li, W.; Yin, X.; Zhao, J.; Zhao, J.; Ding, J.; Li, X.; Wang, W.; Hu, D.; Chen, Q. Uniform Alternating Current Field Monitoring Sensor Array for Imaging and Quantitation of Cracks in Aluminum Alloy Structures. IEEE Sens. J. 2023, 24, 679–688. [Google Scholar]
- Alsit, A.; Alkhedher, M.; Hamdan, H. Crack Propagation in Pipelines Under Extreme Conditions of Near-Neutral PH SCC. Comput. Mater. Contin. 2022, 73, 5315. [Google Scholar] [CrossRef]
- Cheng, J.; Chen, X.; Li, Z.; Lu, J.; Liu, B. Quantitative analysis of performance degradation in movable MEMS devices by a multiscale approach. Eng. Fail. Anal. 2024, 159, 108081. [Google Scholar] [CrossRef]
- Coppeta, R.; Lahlalia, A.; Kozic, D.; Hammer, R.; Riedler, J.; Toschkoff, G.; Singulani, A.; Ali, Z.; Sagmeister, M.; Carniello, S. Electro-thermal-mechanical modeling of gas sensor hotplates. In Sensor Systems Simulations: From Concept to Solution; Springer: Berlin/Heidelberg, Germany, 2020; pp. 17–72. [Google Scholar]
- Bastola, N.; Jahan, M.P.; Rangasamy, N.; Rakurty, C.S. A review of the residual stress generation in metal additive manufacturing: Analysis of cause, measurement, effects, and prevention. Micromachines 2023, 14, 1480. [Google Scholar] [CrossRef] [PubMed]
- Liu, Y.; Ren, D.; Li, S.; Wang, H.; Zhang, L.; Sercombe, T. Enhanced fatigue characteristics of a topology-optimized porous titanium structure produced by selective laser melting. Addit. Manuf. 2020, 32, 101060. [Google Scholar] [CrossRef]
- Grbović, A.; Božić, Ž.; Kirin, S.; Kastratović, G.; Sedmak, A.; Vidanović, N. Fatigue life assessment of the structure with widespread damage exposed to high temperature. Procedia Struct. Integr. 2020, 26, 402–408. [Google Scholar] [CrossRef]
- Nataraj, M.; Thillikkani, S. Failure analysis of leaf spring suspension system for heavy load truck vehicle. Int. J. Heavy Veh. Syst. 2020, 27, 1–17. [Google Scholar] [CrossRef]
- Orenes Moreno, B.; Bessone, A.; Solazzi, S.; Vanti, F.; Bagnera, F.; Riva, A.; Botto, D. Linear Elastic Fracture Mechanics Assessment of a Gas Turbine Vane. Materials 2022, 15, 4694. [Google Scholar] [CrossRef]
- Zhuang, M.-L.; Wang, S.; Sun, C. Experiment and numerical simulation investigation for crack growth of deck-to-rib welded details in orthotropic steel bridge decks. In Structures; Elsevier: Amsterdam, The Netherlands, 2022; pp. 1109–1121. [Google Scholar]
- Ali, L.; Khan, S.; Bashmal, S.; Iqbal, N.; Dai, W.; Bai, Y. Fatigue crack monitoring of T-type joints in steel offshore oil and gas jacket platform. Sensors 2021, 21, 3294. [Google Scholar] [CrossRef]
Software | Fatigue Modeling Approaches | Crack Growth Method | Mesh Type |
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| Unstructured (Triangles or Tetrahedra) |
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| Unstructured (Triangles or Tetrahedra) |
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| Unstructured (Tetrahedral) |
Software | Fatigue Crack Growth Features | Strengths | Considerations |
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ABAQUS | Offers cohesive zone modeling for crack propagation. | Widely used in engineering and research: ABAQUS has a strong user base and extensive documentation. | Learning curve for beginners: new users may need time to grasp its features and workflows. |
Supports Paris’s law and other fatigue models. | Robust solver capabilities: ABAQUS provides efficient solvers for complex simulations. | Licensing costs for commercial use: consider budget constraints if opting for the commercial version. | |
FRANC3D | Specialized for 3D fatigue crack growth analysis. | Focuses on crack front tracking and SIFs: FRANC3D excels in accurately capturing crack behavior. | Expertise in fracture mechanics: users should understand fracture mechanics principles for optimal use. |
Provides advanced meshing near crack tips. | Well-suited for complex geometries: especially useful for intricate crack shapes and irregular boundaries. | Limited user community: smaller community compared to larger software tools. | |
FEMFAT | Dedicated to fatigue life prediction. | Fatigue-specific material data and models: FEMFAT focuses on fatigue-related properties. | May lack other general-purpose simulation features: not ideal for non-fatigue analyses. |
Integrates with FEA software (e.g., ANSYS). | Efficient for industrial applications: widely used in automotive and aerospace industries. | May not handle complex crack geometries as well: limited to simpler crack shapes. | |
ANSYS | Comprehensive suite with fatigue modules (e.g., ANSYS Fatigue). | Versatile for various simulations: ANSYS covers structural, thermal, and fluid dynamics analyses. | Licensing costs and complexity: ANSYS offers multiple modules, each with its own licensing. |
Offers crack growth analysis using Paris’s law, Walker law, etc. | Strong user community and support: active forums and resources available. | May require additional modules: some fatigue features may be part of separate ANSYS modules. | |
LYNX | Lightweight open-source tool for crack growth simulations. | Free and accessible: LYNX is an excellent choice for budget-conscious users. | Limited features compared to commercial software: basic functionality without advanced features. |
Focuses on linear elastic fracture mechanics (LEFM). | Suitable for educational purposes and small projects: ideal for learning and quick analyses. | May not handle nonlinear behavior: limited to linear elastic materials. | |
ZENCRACK | Specialized for crack propagation analysis. | Efficient for specific fatigue scenarios: ZENCRACK focuses on crack behavior. | Less widely known; limited documentation: users may need to explore features independently. |
Includes advanced meshing and adaptive remeshing. | Good for research and specialized applications: useful for academic studies and niche problems. | May lack other simulation capabilities: primarily designed for crack analysis. | |
COMSOL Multiphysics | Multiphysics platform with fatigue modules. | Integrates fatigue with other physics: COMSOL allows for coupling fatigue with thermal, structural, etc. | Learning curve due to multiphysics nature: users need to understand multiple physics domains. |
Customizable using COMSOL’s scripting and modeling tools. | Suitable for academic and industrial research: widely used in research institutions and industries. | Resource-intensive for large-scale simulations: multiphysics simulations can be computationally heavy. |
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Alshoaibi, A.M.; Fageehi, Y.A. A Comparative Analysis of 3D Software for Modeling Fatigue Crack Growth: A Review. Appl. Sci. 2024, 14, 1848. https://doi.org/10.3390/app14051848
Alshoaibi AM, Fageehi YA. A Comparative Analysis of 3D Software for Modeling Fatigue Crack Growth: A Review. Applied Sciences. 2024; 14(5):1848. https://doi.org/10.3390/app14051848
Chicago/Turabian StyleAlshoaibi, Abdulnaser M., and Yahya Ali Fageehi. 2024. "A Comparative Analysis of 3D Software for Modeling Fatigue Crack Growth: A Review" Applied Sciences 14, no. 5: 1848. https://doi.org/10.3390/app14051848
APA StyleAlshoaibi, A. M., & Fageehi, Y. A. (2024). A Comparative Analysis of 3D Software for Modeling Fatigue Crack Growth: A Review. Applied Sciences, 14(5), 1848. https://doi.org/10.3390/app14051848