Numerical Analysis and Modeling in Structural Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 5
Special Issue Editor
Special Issue Information
Dear Colleagues,
Numerical analysis and modeling are essential in structural engineering, as they offer powerful tools to simulate, analyze, and optimize the behavior of complex structures under diverse loading and environmental conditions. This Special Issue aims to present recent advances in computational modeling and numerical techniques that support innovation in structural design, performance assessment, and safety evaluation.
Topics of interest include the following: nonlinear structural behavior; substructuring in structural dynamics; damage and fracture mechanics; multiscale and multiphysics modeling; and computational mechanics. We welcome submissions focused on optimization strategies such as topology and shape optimization, sustainable design, and life-cycle analysis. Contributions addressing uncertainty quantification, stochastic modeling, reliability analysis, and robust or resilient structural design are also encouraged.
Further areas of interest include data-driven modeling and the integration of artificial intelligence, machine learning, or quantum computing into numerical frameworks. Studies involving high-performance computing and large-scale simulations are also within the scope of this Special Issue.
If you require an extension or have any questions regarding this Special Issue, please do not hesitate to contact me by replying to the provided email.
Prof. Dr. Daniel Gomez
Guest Editor
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Keywords
- Numerical analysis
- Computational modeling
- Finite element methods
- Nonlinear structural behavior
- Substructuring in structural dynamics
- Multiscale modeling
- Multiphysics simulation
- Fracture mechanics
- Topology optimization
- Reliability analysis
- Stochastic modeling
- Uncertainty quantification
- Robust design
- Resilient structures
- High-performance computing
- Large-scale simulation
- Machine learning
- Data-driven modeling
- Quantum computing in engineering
- Sustainable structural design
- Life-cycle assessment
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