Numerical Simulation-based Design
Theory and Methods
1st Edition
Published on 3. January 2020
XI, 258 pages
978-981-10-3090-1 (ISBN)
Description
This book focuses on numerical simulation-based design theory and methods in
mechanical engineering. The simulation-based design of mechanical equipmentinvolves considerable scientific challenges including extremely complex systems,extreme working conditions, multi-source uncertainties, multi-physics coupling, andlarge-scale computation. In order to overcome these technical difficulties, this booksystematically elaborates upon the advanced design methods, covering high-fidelitysimulation modeling, rapid structural analysis, multi-objective design optimization,uncertainty analysis and optimization, which can effectively improve the designaccuracy, efficiency, multi-functionality and reliability of complicated mechanicalstructures.
This book is primarily intended for researchers, engineers and postgraduate studentsin mechanical engineering, especially in mechanical design, numerical simulation andengineering optimization.
mechanical engineering. The simulation-based design of mechanical equipmentinvolves considerable scientific challenges including extremely complex systems,extreme working conditions, multi-source uncertainties, multi-physics coupling, andlarge-scale computation. In order to overcome these technical difficulties, this booksystematically elaborates upon the advanced design methods, covering high-fidelitysimulation modeling, rapid structural analysis, multi-objective design optimization,uncertainty analysis and optimization, which can effectively improve the designaccuracy, efficiency, multi-functionality and reliability of complicated mechanicalstructures.
This book is primarily intended for researchers, engineers and postgraduate studentsin mechanical engineering, especially in mechanical design, numerical simulation andengineering optimization.
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Book
01/2020
Springer
€160.49
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Content
Introduction.- Numerical modeling methods.- Computational inverse techniques.- Parameter inversion for numerical modeling.- Fast analysis methods of complex structures.- Meta-modeling technique.- Structural reduced-basis method.- Overview of multi-objective optimal design.- Micro multi-objective genetic algorithm.- Multi-objective optimization design based on meta-model.- Overview of optimization design with uncertainty.- Interval analysis method for uncertain optimization.- Meta-model method for uncertain optimization.
