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 1193
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
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. Materials 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
- 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
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
