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Design Optimization Under Uncertainty / by Weifei Hu
版 | 1st ed. 2023. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2023 |
本文言語 | 英語 |
大きさ | XIII, 274 p. 94 illus., 68 illus. in color : online resource |
著者標目 | *Hu, Weifei author SpringerLink (Online service) |
件 名 | LCSH:Mathematical optimization LCSH:Engineering design LCSH:Operations research LCSH:Technological innovations LCSH:Algorithms FREE:Optimization FREE:Engineering Design FREE:Operations Research and Decision Theory FREE:Innovation and Technology Management FREE:Design and Analysis of Algorithms |
一般注記 | Basic Concepts of Probability Theory -- Uncertainty Modeling -- Reliability Analysis Methods for Time-Independent Problems -- Surrogate Modeling for Reliability Analysis -- Model verification and validation (V&V) -- Time-variant reliability analysis methods -- Reliability-based design optimization (RBDO) -- Robust design optimization (RDO) -- Other methods of design optimization under uncertainty -- Engineering applications This book introduces the fundamental concepts of probability and reliability, the classical methods of uncertainty modelling, time-dependent and time-independent reliability analysis methods, model verification and validation, two main categories of design optimization under uncertainty (DOUU) methods (e.g., reliability-based design optimization and robust design optimization), the state-of-the-art approaches of physics informed methods for DOUU, and a comprehensive survey of engineering applications of DOUU. Each chapter begins with the fundamental theories and methods in a lucid, is easy-to-follow treatment, then elaborates on the corresponding advanced approaches using detailed methodologies, mathematical models, numerical examples, tables, and graphs. References and exercises are presented at the end of chapters. The book is ideal for both educational and research needs for readers from undergraduate students, graduate students, and faculty to engineering designers. Offers both the fundamental and the state-of-the-art theories and methods of design optimization under uncertainty; Explains the in-depth theories of design optimization under uncertainty in a lucid with step-by-step derivation; Introduces the exercise problems using graphics, tables, and results that are all originally developed HTTP:URL=https://doi.org/10.1007/978-3-031-49208-2 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783031492082 |
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EB00235465 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA402.5-402.6 DC23:519.6 |
書誌ID | 4001093676 |
ISBN | 9783031492082 |