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Editorial

A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring

by
Wael A. Altabey
1,2,* and
Mohammad Noori
3,4,*
1
International Institute for Urban Systems Engineering (IIUSE), Southeast University, Nanjing 210096, China
2
Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
3
Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USA
4
School of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK
*
Authors to whom correspondence should be addressed.
Materials 2023, 16(9), 3567; https://doi.org/10.3390/ma16093567
Submission received: 5 April 2023 / Accepted: 5 May 2023 / Published: 6 May 2023
(This article belongs to the Special Issue Dynamic Analysis of Smart and Nanomaterials for Applications in Structural Control and Health Monitoring)
Browse Figure
Versions Notes

1. Introduction and Scope

During recent years, remarkable progress has been made in the development of new materials. Advanced structured materials, including smart and nano materials, have opened up new engineering possibilities because of their specific properties (chemical, mechanical, and physical) that are not found in nature, and can be significantly changed by a user in a controlled manner to make them appropriate for certain applications. Due to their unique properties, smart and nano materials have been of interest in countless areas of technical application, in various systems and structures, including intelligent and adaptive sensing or actuation, as well as active control. An understanding of the relationships between their structures and properties is of crucial importance for the practical utilization of these materials.
Over the past several years, a series of approaches for progress in structural control and healthy monitoring have left paramount impacts on our everyday lives. This has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, nowadays, it is possible to rapidly and consistently evaluate the structural safety of mechanical systems, industrial machines, and modern concrete buildings, etc., to test their capability for serving their intended purpose. However, unsolved, problematic, and new challenges exist. Unmolded nonlinearities, ineffective sensor placement, and the effects of confounding influences due to operational and environmental variabilities still harm the effectiveness of the state of structural control and healthy monitoring systems. A typical integrating structural control and health monitoring system is shown in Figure 1.
The aim of this Special Issue is to gain new, unique knowledge about the relationships between the structures and physico-mechanical and chemical properties of new materials, including finding ways to structure the control and development of new methods for structural healthy monitoring. Another goal is to gather the main contributions of academics and practitioners in mechanical, aerospace, and civil engineering to provide a common ground for improvements to these approaches to structural control and healthy monitoring, by using the unique properties of smart and nano materials. Studies concerning sensor technologies, vibration-based techniques, artificial-intelligence-based methods, and related fields are all welcome, in both numerical and experimental form.
The keywords of this Special Issue are:
  • Structural health monitoring;
  • Structural control;
  • Smart materials and structures;
  • Nanomaterials and nanocomposites;
  • Sensors and actuators;
  • Energy harvesting;
  • Artificial intelligence;
  • Damage detection;
  • System identification;
  • Machine learning;
  • Sensor placement;
  • Intelligent structure systems.
Evidently, the articles accepted for publication will cover all the topics and it is expected that the manuscripts published here are of interest to researchers working in improving the materials utilized in structural control and health monitoring.

2. Contributions

The manuscripts of this Special Issue can be classified according the topics provided in Table 1, based on some reviews of the literature.

3. Conclusions and Outlook

Considering the knowledge of the guest editors of this Special Issue, the preservation of the structural integrity of the damaged parts is distinguished by a control and repair procedure through establishing the smart and nanomaterials effect, in which local moment and force are induced in these materials by applying the converse effect of the structure, in order to break the increase in stress and strain levels due to the external load, thus decreasing the criticality of the damage. Additionally, entering structural health monitoring (SHM) and artificial intelligence (AI) techniques into the procedure of controlling and repairing the damage to structures will definitely highly affect the avoidance of a premature collapse of mechanical and civil structures such as pipelines, houses, bridges, aerospace, and offshore platforms. In this Special Issue, we underwent efforts to collect contributions from active researchers in the fields of structural control and health monitoring, and also mechanical, structural, electrical, material, and other engineering fields. It will act as a platform for sharing. Furthermore, researchers may provide transparent views and indices for their research areas through challenges and opportunities. In short, this sharing can help researchers to develop new ideas, particularly in the early stages of this research field.

Author Contributions

Conceptualization, W.A.A. and M.N.; writing—original draft preparation, W.A.A. and M.N.; writing—review and editing, W.A.A. and M.N. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Silik, A.; Noori, M.; Ghiasi, R.; Wang, T.; Kuok, S.; Farhan, N.S.D.; Dang, J.; Wu, Z.; Altabey, W.A. Dynamic wavelet neural network model for damage features extraction and patterns recognition. Civ. Struct. Health Monit. 2023. [Google Scholar] [CrossRef]
  2. Silik, A.; Noori, M.; Altabey, W.; Dang, J.; Ghiasi, R.; Wu, Z. Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study. Struct. Health Monit. 2022, 21, 803–825. [Google Scholar] [CrossRef]
  3. Silik, A.; Noori, M.; Altabey, W.A.; Ghiasi, R. Selecting optimum levels of wavelet multi-resolution analysis for time-varying signals in structural health monitoring. Struct. Control Health Monit. 2021, 28, e2762. [Google Scholar] [CrossRef]
  4. Aabid, A.; Parveez, B.; Raheman, M.A.; Ibrahim, Y.E.; Anjum, A.; Hrairi, M.; Parveen, N.; Mohammed Zayan, J. A Review of Piezoelectric Material-Based Structural Control and Health Monitoring Techniques for Engineering Structures: Challenges and Opportunities. Actuators 2021, 10, 101. [Google Scholar] [CrossRef]
  5. Cao, W.; Cudney, H.H.; Waser, R. Smart materials and structures. Proc. Natl. Acad. Sci. USA 1999, 96, 8330–8331. [Google Scholar] [CrossRef] [PubMed]
  6. Holger, M.; Elmar, B.J. Application of smart materials in automotive structures. SPIE 2001, 4332, 197–204. [Google Scholar] [CrossRef]
  7. Sharma, V.P.; Sharma, U.; Chattopadhyay, M.; Shukla, V.N. Advance Applications of Nanomaterials: A Review. Mater. Today Proc. 2018, 5 Pt 1, 6376–6380. [Google Scholar] [CrossRef]
  8. Altabey, W.A.; Noori, M.; Alarjani, A.; Zhao, Y. Nano-Delamination Monitoring of BFRP Nano-Pipes of Electrical Potential Change with ANNs. Adv. Nano Res. 2020, 9, 1–13. [Google Scholar] [CrossRef]
  9. Altabey, W.A. An exact solution for mechanical behavior of BFRP Nano-thin films embedded in NEMS. Adv. Nano Res. 2017, 5, 337–357. [Google Scholar] [CrossRef]
  10. Altabey, W.A.; Noori, M.; Wu, Z.; Al-Moghazy, M.A.; Kouritem, S.A.A. deep-learning approach for predicting water absorption in composite pipes by extracting the material’s dielectric features. Eng. Appl. Artif. Intell. 2023, 121, 105963. [Google Scholar] [CrossRef]
  11. Altabey, W.A.; Noori, M.; Wu, Z.; Al-Moghazy, M.A.; Kouritem, S.A.A. Studying Acoustic Behavior of BFRP Laminated Composite in Dual-Chamber Muffler Application Using Deep Learning Algorithm. Materials 2022, 15, 807. [Google Scholar] [CrossRef] [PubMed]
  12. Altabey, W.A.; Noori, M.; Wang, T.; Ghiasi, R.; Kuok, S.-C.; Wu, Z. Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling. Appl. Sci. 2021, 11, 6063. [Google Scholar] [CrossRef]
  13. Dry, C.M. Self-repairing and Self-forming Smart Materials Based on Biomimetic Rules. In Proceedings of the International Symposium on Smart Materials and Structural Systems, Fukui, Japan, 28–29 August 2001. [Google Scholar]
  14. Sobczyk, M.; Wiesenhütter, S.; Noennig, J.R.; Wallmersperger, T. Smart materials in architecture for actuator and sensor applications: A review. Intell. Mater. Syst. Struct. 2022, 33, 379–399. [Google Scholar] [CrossRef]
  15. Bani-Hani, M.A.; Husein Malkawi, D.A.; Bani-Hani, K.A.; Kouritem, S.A. Genetic Algorithm Optimization of Rainfall Impact Force Piezoelectric Sensing Device, Analytical and Finite Element Investigation. Materials 2023, 16, 911. [Google Scholar] [CrossRef] [PubMed]
  16. Kouritem, S.A.; Altabey, W.A. Ultra-broadband natural frequency using automatic resonance tuning of energy harvester and deep learning algorithms. Energy Convers. Manag. 2022, 272, 116332. [Google Scholar] [CrossRef]
  17. Naqvi, A.; Ali, A.; Altabey, W.A.; Kouritem, S.A. Energy Harvesting from Fluid Flow Using Piezoelectric Materials: A Review. Energies 2022, 15, 7424. [Google Scholar] [CrossRef]
  18. Shaukat, H.; Ali, A.; Bibi, S.; Altabey, W.A.; Noori, M.; Kouritem, S.A. A Review of the Recent Advances in Piezoelectric Materials, Energy Harvester Structures, and Their Applications in Analytical Chemistry. Appl. Sci. 2023, 13, 1300. [Google Scholar] [CrossRef]
  19. Shaukat, H.; Ali, A.; Bibi, S.; Mehmooda, S.; Altabey, W.A.; Noori, M.; Kouritem, S.A. Piezoelectric materials: Advanced applications in electro-chemical processes. Energy Rep. 2023, 9, 4306–4324. [Google Scholar] [CrossRef]
Materials 16 03567 g001 550
Figure 1. Integrating structural control and health monitoring.
Figure 1. Integrating structural control and health monitoring.
Materials 16 03567 g001
Table
Table 1. Information about topics within the Special Issue’s manuscript contributions.
Table 1. Information about topics within the Special Issue’s manuscript contributions.
TopicHighlightsRefs.
Structural health monitoring techniquesSHM is a new field of research and development that emanated from smart materials and structures. SHM has attracted considerable attention in recent years for assessments in infrastructure and aerospace vehicle applications. The goal of SHM to develop automated systems can enable continuous monitoring, inspection, and the detection of damage to structures, to minimize the need for human labor.[1,2]
Advances in structural controlThe control of structures is a study in which smart and nanomaterials are utilized for various purposes. Due to their versatile applications, smart materials such as PZT transducers can control metallic and non-metallic structural components as the main object for controlling a structural component’s vibration, noise, and activity.[3,4]
Smart materials and structuresA smart structure is a system containing multifunctional parts that can perform sensing, control, and actuation; it is a primitive analogue of a biological body. Smart materials are used to construct these smart structures, which can perform both sensing and actuation functions.[5,6]
Advanced nanomaterials applicationsMetallic nanoparticles are used as reinforcements in alloys for light constructions that have an appropriate resistance and hardness, mainly in the aerospace and automotive sector; for example, titanium nanoparticles are used as a steel alloy element and the resulting alloy shows improved properties with respect to resistance, ductility, temperature, and corrosion resistance.[7]
Nanocomposite applicationsA nanocomposite is a matrix to which nanoparticles have been added to improve a particular property of the material. The properties of nanocomposites have caused researchers and companies to consider using this material in several fields such as making flexible batteries, lightweight sensors, composites with even higher strength-to-weight ratios, speeding up the healing process for broken bones, impellers, and blades.[8]
Nano pipes and filmsNano pipes and film systems are widely used in micro/nano-electro-mechanical sensors (NEMS/MEMS); they are among the most critical components in these sensors, such as pressure sensors that are exposed to stress and harsh environmental conditions.[9]
Artificial intelligence applicationIn early applications, the algorithms of AI-based schemes were used for SHM and damage detections such machine learning, deep learning, and artificial neural networks.[10,11,12]
Self-repair and self-assembly applicationSelf-repair and self-assembly materials have attracted attention due to their ability to regain their structure and function after damage. In recent years, significant progress has been made in achieving various functions through supramolecular chemistry. Self-repair materials are artificially created substances that have a built-in ability to automatically repair damage without any external diagnosis of the problem or human intervention.[13]
Reconstruction techniquesIntroducing smart materials as integral parts of civil structures or active or sensitive constructive elements opens up a wide range of abilities. In the context of building construction, several smart material methodologies are already available and commonly used, for example, piezoelectric transducers for SHM.[14]
Energy harvestingPiezoelectric energy harvesting is commonly applied in SHM due to its great ability to provide self-powered electronic wearable devices and wireless sensor networks. Piezoelectric converts mechanical energy into electricity with a high efficiency and ease of operation. Harvested power can be used in many medical and industrial applications such as pacemakers, bridge and building monitoring, and tire pressure monitoring techniques.[15,16,17,18,19]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

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MDPI and ACS Style

Altabey, W.A.; Noori, M. A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring. Materials 2023, 16, 3567. https://doi.org/10.3390/ma16093567

AMA Style

Altabey WA, Noori M. A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring. Materials. 2023; 16(9):3567. https://doi.org/10.3390/ma16093567

Chicago/Turabian Style

Altabey, Wael A., and Mohammad Noori. 2023. "A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring" Materials 16, no. 9: 3567. https://doi.org/10.3390/ma16093567

APA Style

Altabey, W. A., & Noori, M. (2023). A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring. Materials, 16(9), 3567. https://doi.org/10.3390/ma16093567

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