LEADER 03241nam 2200481 450 001 9910799482103321 005 20240118114751.0 010 $a3-031-49208-0 024 7 $a10.1007/978-3-031-49208-2 035 $a(MiAaPQ)EBC31036031 035 $a(Au-PeEL)EBL31036031 035 $a(DE-He213)978-3-031-49208-2 035 $a(EXLCZ)9929447885600041 100 $a20240118d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDesign Optimization under Uncertainty /$fWeifei Hu 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2023] 210 4$dİ2023 215 $a1 online resource (282 pages) 311 08$aPrint version: Hu, Weifei Design Optimization under Uncertainty Cham : Springer International Publishing AG,c2024 9783031492075 320 $aIncludes bibliographical references and index. 327 $aBasic 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. 330 $aThis 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. 606 $aEngineering design$xMathematical models 606 $aProbabilities 606 $aReliability 615 0$aEngineering design$xMathematical models. 615 0$aProbabilities. 615 0$aReliability. 676 $a620.0042 700 $aHu$b Weifei$01585634 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799482103321 996 $aDesign Optimization under Uncertainty$93870965 997 $aUNINA