Computational Methods and Modeling for Structural Design
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E4: Mathematical Physics".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 4
Special Issue Editors
Interests: structural modelling and analysis; smart materials and structures; intelligent structural optimization method
Special Issues, Collections and Topics in MDPI journals
Interests: computational mechanics; metamaterials/metastructures; dynamic modeling and analysis
Special Issue Information
Dear Colleagues,
This Special Issue focuses on computational methods and modelling for structural design. Rapid advances in computational mechanics and numerical modelling are revolutionizing the analysis, optimization, and design of structural systems. Modern structural design increasingly relies on simulation-based and data-driven approaches to improve performance, reliability, and sustainability.
The goal of this Special Issue is to provide a platform for researchers to present innovative developments in computational algorithms, modelling techniques, and computer-aided design tools for complex structural applications. It seeks to promote the integration of theoretical modelling, computational algorithms, and engineering applications to achieve efficient, reliable, and intelligent structural design.
The Issue welcomes studies on the development of advanced numerical methods, multi-scale and multi-physics simulations, data-driven modelling, and computer-aided structural design. It will advance computational methods in modern structural design. Researchers are kindly invited to submit their original contributions related to, but not limited to, the following topics.
Dr. Qiqi Li
Guest Editor
Dr. Hanqing Zhang
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- computational mechanics
- computational modeling
- structural design and modelling
- advanced materials and structural systems
- intelligent and data-driven engineering
- multi-scale and multi-physics analysis
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