Description: Surrogate Model-Based Engineering Design and Optimization by Ping Jiang, Qi Zhou, Xinyu Shao This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships.The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more "hands-on" manner. FORMAT Hardcover LANGUAGE English CONDITION Brand New Back Cover This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more "hands-on" manner. Author Biography Dr. Ping Jiang is a Professor at the School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China. His research areas include metamodel-based robust design optimization, laser welding and simulation-based design. He is the associate editor of Mathematical Biosciences and Engineering. He has published over 80 peer-reviewed, international journal and conference papers. Dr. Qi Zhou is an Assistant Professor at the School of Aerospace Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China. His research areas include multi-fidelity surrogate model and design optimization under uncertainty. He was the session chair of the International Conference on System Modeling and Optimization committee. He has published over 60 peer-reviewed, international journal and conference papers.Dr. Xinyu Shao is a Professor at the School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China. His research areas include advanced manufacturing processes and equipment, laser welding, and precision grinding. He is a Distinguished Professor in the Yangtze River Scholars Award Program, a recipient of the National Science Fund for Distinguished Young Scholars, and a Chief Scientist of the National 973 Program. He has served as the convener of the "Experts of Major Equipment and Process Technology" in the advanced manufacturing technology field of the National 863 Program, and the leader of the expert group supporting the "Numerical Generation Machinery Product Innovation Application Demonstration Project". He has published over a hundred peer-reviewed international journal and conference papers. Table of Contents Introduction.- Classic types of surrogate model.- Ensemble of surrogate models.- Multi-fidelity surrogate model.- Verification methods for surrogate model.- Sampling approaches.- Surrogate model-based design optimization.- Conclusions. Feature Offers an in-depth look at the various methods of constructing a surrogate model Includes many real-life surrogate model-based engineering design cases Provides several numerical cases to describe the methods steps-by-steps Details ISBN9811507309 Author Xinyu Shao Publisher Springer Verlag, Singapore Series Springer Tracts in Mechanical Engineering ISBN-10 9811507309 ISBN-13 9789811507304 Format Hardcover Imprint Springer Verlag, Singapore Place of Publication Singapore Country of Publication Singapore Edition 1st DEWEY 620.00151 Pages 240 Year 2019 Publication Date 2019-11-15 Language English DOI 10.1007/978-981-15-0731-1 UK Release Date 2019-11-15 Illustrations 72 Illustrations, color; 27 Illustrations, black and white; IX, 240 p. 99 illus., 72 illus. in color. Edition Description 1st ed. 2020 Alternative 9789811507335 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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ISBN-13: 9789811507304
Book Title: Surrogate Model-Based Engineering Design and Optimization
Number of Pages: 240 Pages
Language: English
Publication Name: Surrogate Model-Based Engineering Design and Optimization
Publisher: Springer Verlag, Singapore
Publication Year: 2019
Subject: Engineering & Technology
Item Height: 235 mm
Item Weight: 547 g
Type: Textbook
Author: Ping Jiang, Xinyu Shao, Qi Zhou
Subject Area: Mechanical Engineering
Item Width: 155 mm
Format: Hardcover
