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Computational Methods in Structural Engineering: Current Advances and Future Perspectives
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DOI：10.3390/computation13090224.png)
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Abstract
En 中文
This brief editorial introduces the Special Issue Computational Methods in Structural Engineering. This Special Issue brings together recent advances in computational approaches-including finite element modeling, machine learning applications, stochastic analysis, and high-precision numerical methods- highlighting their increasing influence on the analysis, design, and assessment of modern structural systems. The published contributions cover topics such as the nonlinear finite element method (FEM) for structural response under extreme loading, advanced plate and composite modeling, explainable AI for material characterization, machine learning for predictive performance modeling, data-driven signal processing for structural health monitoring, and stochastic analysis of dynamic inputs. Through this collection of studies, this Special Issue underscores both the opportunities and the challenges of applying advanced computational methods to enhance the resilience, efficiency, and understanding of structural engineering systems.
Keywords:
structural engineering
computational methods
finite element method
machine learning
explainable AI
structural health monitoring
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