Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications
Computational modeling and simulation are essential to solid and structural mechanics. They have not only covered entire engineering fields (civil, aerospace, mechanical, etc.) but also various scales (from nano to macro) and physics (mono- and multiphysics). Recently, they have been found to be abl...
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| Format: | Electronic Book Chapter |
| Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 700 | 1 | |a Lim, Jae Hyuk |4 edt | |
| 700 | 1 | |a Persson, Peter |4 edt | |
| 700 | 1 | |a Kim, Jin-Gyun |4 oth | |
| 700 | 1 | |a Lim, Jae Hyuk |4 oth | |
| 700 | 1 | |a Persson, Peter |4 oth | |
| 245 | 1 | 0 | |a Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
| 300 | |a 1 electronic resource (196 p.) | ||
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| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Computational modeling and simulation are essential to solid and structural mechanics. They have not only covered entire engineering fields (civil, aerospace, mechanical, etc.) but also various scales (from nano to macro) and physics (mono- and multiphysics). Recently, they have been found to be able to offer theoretical backgrounds of digital transformation. Society at large is increasingly enthusiastic about data-driven modeling and simulation, and the possibilities they offer. The aim of this Special Issue reprint was to provide a forum for researchers to discuss recent advanced computational modeling and simulation techniques of solids and structures, and applications to solve challenging engineering problems. | ||
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| 650 | 7 | |a History of engineering & technology |2 bicssc | |
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| 653 | |a piezoresistive mechanism | ||
| 653 | |a sensor pattern design | ||
| 653 | |a learning tools | ||
| 653 | |a teaching methodology | ||
| 653 | |a educational software | ||
| 653 | |a mechanism science | ||
| 653 | |a problem-based learning | ||
| 653 | |a bolted joints | ||
| 653 | |a parameter identification | ||
| 653 | |a thin-layer element | ||
| 653 | |a pre-tightening torque | ||
| 653 | |a contact interface | ||
| 653 | |a FEM | ||
| 653 | |a surrogate modeling | ||
| 653 | |a mesh-free | ||
| 653 | |a machine learning | ||
| 653 | |a deep learning | ||
| 653 | |a SIMP method | ||
| 653 | |a impact condition | ||
| 653 | |a non-matching interface | ||
| 653 | |a condensed mortar method | ||
| 653 | |a periodic structures | ||
| 653 | |a polar coordinates | ||
| 653 | |a wave propagation | ||
| 653 | |a forced response of plates and shells | ||
| 653 | |a finite element analysis | ||
| 653 | |a unbounded structures | ||
| 653 | |a deployment dynamics | ||
| 653 | |a truss-link mechanism | ||
| 653 | |a synthetic aperture radar | ||
| 653 | |a friction compensation | ||
| 653 | |a GP regression | ||
| 653 | |a multi-objective optimization | ||
| 653 | |a hot metal forming | ||
| 653 | |a Inconel 625 | ||
| 653 | |a multibody dynamics | ||
| 653 | |a automotive driveshafts | ||
| 653 | |a forced bending vibrations | ||
| 653 | |a asymptotic method | ||
| 653 | |a principal parametric resonance | ||
| 653 | |a dynamic stability frontiers | ||
| 653 | |a n/a | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/101309 |7 0 |z DOAB: description of the publication |