Numerical Modelling and Experimental Testing of 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 October 2026 | Viewed by 870
Editor
Interests: diagnostics of structures and engineering installations; diagnostic systems based on the acoustic emission method; the use of machine learning and AI in the analysis of structural and material failure mechanisms based on acoustic signals; destructive and non-destructive testing of structural elements made of wood, concrete, steel, and composite materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of modern engineering structures and advanced materials requires a comprehensive understanding of their mechanical behavior, durability, and failure mechanisms. In recent decades, the integration of numerical modelling with experimental investigations has become an essential approach in materials science and structural engineering. Numerical techniques, including finite element modelling, multiscale simulations, and data-driven computational methods, enable researchers to predict the behavior of materials and structures under complex loading and environmental conditions. At the same time, experimental testing provides indispensable validation of theoretical models and offers valuable insight into the real mechanisms governing material degradation and structural damage. The continuous advancement of sensing technologies, non-destructive testing methods, and modern data analysis tools—particularly machine learning and artificial intelligence—has significantly expanded the possibilities for monitoring, diagnosing, and understanding the performance of engineering materials and structures.
This Special Issue aims to present and disseminate recent advances in the field of numerical modelling and experimental testing of materials. The objective is to bring together high-quality research contributions addressing theoretical developments, innovative experimental techniques, and practical engineering applications related to material characterization, structural diagnostics, and failure analysis. We welcome original research articles as well as review papers that explore both fundamental aspects and applied approaches in materials engineering and structural health monitoring.
Topics of interest include, but are not limited to, the following:
- Numerical modelling of material behavior and structural performance;
- Experimental characterization and testing of engineering materials;
- Destructive and non-destructive testing techniques;
- Structural health monitoring and diagnostics of engineering structures;
- Acoustic emission methods in material and structural evaluation;
- Application of machine learning and artificial intelligence in material analysis;
- Failure mechanisms, damage detection, and durability assessment of materials and structures.
Dr. Aleksandra Krampikowska
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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 modelling
- experimental testing
- material characterization
- structural health monitoring
- non-destructive testing
- acoustic emission
- failure mechanisms
- machine learning in materials science
- engineering materials
- structural diagnostics
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