Computational and Experimental Methodologies for Advanced and Sustainable Structural Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 893
Special Issue Editors
Interests: computational mechanics; corrugated cardboard; fluid mechanics; biomechanics; heat transfer; meshless methods; artificial intelligence; evolutionary algorithms; inverse problems
Special Issues, Collections and Topics in MDPI journals
Interests: computational mechanics; non-linear structural analysis; inverse problems; mechanics of materials; mechanics of corrugated cardboard; mechanical characterisation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advancements in engineering research have led to the widespread use of various computational techniques for structural simulations involving advanced materials, which typically exhibit non-linear behaviours. A critical aspect of these problems is selecting the appropriate constitutive model to accurately describe the material’s mechanical response. Such models have to be supported by the implementation of a robust computational framework, such as the Finite Element Method, Boundary Element Method, or meshless methods, to ensure reliable simulation results at both the material point and at the overall structural scale. These computational approaches are applied across a broad range of engineering and scientific fields, modelling a diverse array of materials, including bio-materials, eco-materials, composites, textiles, glass, timber, and paperboard, as well as more commonly used materials like metals, ceramics, and concrete.
The reliability of the above-mentioned simulations heavily depends on the accuracy of the parameters used in the governing equations of the selected constitutive models. Traditionally, these parameters are calibrated using data obtained from experiments, which may be destructive, quasi-non-destructive, or entirely non-destructive. Inverse Analysis plays a crucial role in translating experimentally measured quantities into the desired parameters. This methodology, with minimal adjustments, can also be effectively applied to the diagnostic analysis of aged or potentially damaged structural materials. The computational optimisation methods used for parameter identification in the outlined problems can benefit from novel techniques such as reduced order models, evolutionary algorithms, and artificial neural networks.
This Special Issue of Materials is devoted to the application of some of the above outlined methods combined with experimental techniques and Inverse Analysis methodologies, relating to diverse applications of structural engineering such as (but not limited to) the aeronautical, biomechanical, building, and civil and mechanical engineering fields.
Dr. Jakub Krzysztof Grabski
Dr. Aram Cornaggia
Guest Editors
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Keywords
- numerical methods
- finite element method
- meshless methods
- boundary element method
- reduced order models
- artificial intelligence
- artificial neural networks
- evolutionary algorithms
- inverse problems
- inverse analysis
- structural optimisation
- parameter identification
- material modelling
- material characterisation
- experimental material testing
- non destructive testing
- advanced materials
- engineered materials
- eco materials
- sustainable materials
- metamaterials
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