Computational Methods in Structural Engineering
Language: English
Published by MDPI AG, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 108.72
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9783725854370
- Title
- Computational Methods in Structural Engineering
- Publisher
- MDPI AG
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3725854378
- ISBN 13
- 9783725854370
- Item weight
- 675 grams
- Dimensions
- 250x175x17 mm
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.
"Synopsis" may belong to another edition of this title.
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