Applied Mathematical Modelling in Mechanical Design and Analysis
A special issue of AppliedMath (ISSN 2673-9909).
Deadline for manuscript submissions: 30 September 2026 | Viewed by 31
Special Issue Editors
Interests: fractional order model; fracture and pore structure; coal
Interests: creep and permeability of rock; fractional derivative; rock mechanics; creep modeling; fracture and permeability evolution; numerical simulation of coupled processes; fractional constitutive modeling
Special Issue Information
Dear Colleagues,
This Special Issue aims to gather original research and review articles on applied mathematical modelling techniques for the design, analysis, and optimization of mechanical and structural systems. We welcome contributions that develop new models as well as those that adapt and validate existing mathematical tools to solve practical engineering problems in solid mechanics, fluid–structure interaction, dynamics, vibration control, damage and fracture, multi-scale and multi-physics processes, and reliability assessment. Topics of interest include, but are not limited to, analytical and semi-analytical formulations; computational and numerical methods (e.g., finite element, meshfree, boundary, and spectral methods); inverse and optimization problems; uncertainty quantification; surrogate and reduced-order models; and data-driven or machine learning-assisted approaches. Studies that bridge the gap between theoretical modelling and industrial applications in civil, mechanical, aerospace, marine, and energy engineering are particularly encouraged. Contributions should clearly present the mathematical foundations of the proposed models, provide rigorous verification or validation, and demonstrate their advantages for improving design efficiency, safety, and performance.
Dr. Zelin Liu
Dr. Teng Su
Dr. Senlin Xie
Guest Editors
Manuscript Submission Information
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Keywords
- applied mathematical modelling
- mechanical design
- structural mechanics
- fracture and damage mechanics
- fractional and viscoelastic models
- computational mechanics
- multi-physics and multi-scale analysis
- optimization and inverse problems
- data-driven and machine learning methods
- reliability and fatigue analysis
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