Advanced Numerical Modelling and Simulation Techniques in Computational Mechanics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 189
Special Issue Editor
2. Visiting Academic, School of Computing, University of Leeds, Leeds, UK
3. Visiting Lecturer, Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK
Interests: scientific machine learning; computational fluid dynamics (CFD); discrete element method (DEM) and material-point method (MPM); deep learning: physics-informed neural networks (PINNs); computational mechanics; finite element method (FEM); fluid–structure interaction (FSI); isogeometric analysis (IGA): integration of computer aided design and finite element analysis; spectral/hp method
Special Issue Information
Dear Colleagues,
Computational Mechanics is a field of engineering and applied sciences that uses computational methods and algorithms to study and solve problems in mechanics. Mechanics, in this context, refers to the behaviour of physical systems under the influence of forces. Computational mechanics leverages numerical techniques and computer simulations to analyse the behaviour of structures, materials, and fluids, which can be complex or otherwise difficult to solve analytically.
We are pleased to announce this Special Issue of the journal Mathematics entitled “Advanced Numerical Modelling and Simulation Techniques in Computational Mechanics”. This initiative focuses on advances in algorithmic research and practical applications of computational mechanics techniques and methods, which have been attracting growing interest in recent years due to their effectiveness in solving technical problems.
Potential broad topics for submission include, but are not limited to, the following:
- Isogeometric Analysis (IGA).
- Phase-Field Modelling.
- Deep Learning: including Physics-Informed Neural Networks (PINNs) for integrating deep learning with physical models.
- Boundary Element Method (BEM).
- Finite Cell Method (FCM).
- Material Point Method (MPM).
- Mesh-Free Methods.
- Virtual Element Method (VEM).
- Variational Multiscale Method (VMS).
This Special Issue aims to bring together cutting-edge research and innovative applications in computational mechanics, fostering collaboration and knowledge exchange among researchers and practitioners in the field. We welcome high-quality submissions that contribute to the advancement of numerical modelling and simulation techniques, showcasing their impact on solving real-world engineering problems.
Dr. Yousef Ghaffari Motlagh
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- isogeometric analysis
- phase-field
- material point method
- physics-informed neural networks
- machine learning
- variational multi-scale method
- finite cell method
- virtual element method.
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