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Computational Methods in Structural Engineering

This Reprint brings together nine contributions that showcase the latest advances in computational methods applied to structural engineering. It includes an introductory editorial and eight original research articles covering topics such as nonlinear finite element modeling under extreme loads, adva...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2026
Matèries:
Structural engineering
Computational methods
Finite element method
Machine learning
Explainable AI
Structural health monitoring
Computer-aided engineering
Ambient vibration
Blast actions
Buckling
Collapse mechanism
Curved beams
Flexoelectric nanocomposites
Free vibration
Unilateral contact
Approximation errors
Convolutional neural networks
Covariance analysis
Dynamic response and reliability
Electromechanical coupling
Extrapolation
Function approximation
Gradient boosting
Interpolation
Numerical differentiation
Numerical homogenization
Ordinary differential equation
Partial differential equation
Non-stationary random process
Shapley values
XGBoost
Ultra-high-performance concrete
Masonry
Structural steel
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
Accés en línia:ONIX_20260416T142754_9783725854370_28
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Sumari:This Reprint brings together nine contributions that showcase the latest advances in computational methods applied to structural engineering. It includes an introductory editorial and eight original research articles covering topics such as nonlinear finite element modeling under extreme loads, advanced plate and composite analysis, explainable machine learning for material characterization, predictive models for curved beams, stochastic approaches for uncertainty quantification, and data-driven signal processing for structural health monitoring. Collectively, these works demonstrate how computational tools, from high-precision numerical schemes to artificial intelligence, are shaping the analysis, design, and optimization of modern structures. The Reprint highlights both the opportunities and the challenges of integrating advanced computation into engineering practice, providing researchers and professionals with insights into methods that enhance safety, efficiency, and innovation in the built environment.

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