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Full Description
This book gathers outstanding papers on numerical modeling in Civil Engineering (Volume 1) as part of the 2-volume proceedings of the 5th International Conference on Numerical Modeling in Engineering (NME 2022), which was held in Ghent, Belgium, on 23-24 August 2022. The overall objective of the conference was to bring together international scientists and engineers in academia and industry from fields related to advanced numerical techniques, such as the finite element method (FEM), boundary element method (BEM), isogeometric analysis (IGA), etc., and their applications to a wide range of engineering disciplines. This volume covers numerical simulations with industrial civil engineering applications such as bridges and dams, cyclic loading, fluid dynamics, structural mechanics, geotechnical engineering, thermal analysis, reinforced concrete structures, steel structures, and composite structures. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the numerical modelling in civil engineering topics.
Contents
Nonconforming spectral element method for Oseen equations and Navier Stokes equations.- Application of Gorilla troops' social intelligence in damage detection for a girder bridge.- Numerical Analyses for Evaluation of Factor of Safety Distribution Map.- A Hybrid Optimization Algorithm for Structural Health Monitoring.- Transient Analysis of Heat Transfer in a Trunk Under a Forest Fire Influence.- Design of an Auditorium Equipped with an Attached Solar Greenhouse Used to Improve Indoor Environmental Conditions.- K-means optimizer: An efficient Optimization Algorithm for predicting the uncertain material parameters in real structures.- A nonlinear approach to investigate the effect of sheet pile toe's embedded length on the lateral displacement derived from soft clay-deep excavation.- Damage Detection in a 3D Truss Structure Using Natural Frequencies and Metaheuristic Algorithms.- Effect of the incident wave angle on the hydrodynamic performance of a land-based OWC device.- Data-driven Kriging model for predicting concrete compressive strength and parameter correlation analysis.
