國立高雄大學圖資館 |

登入

回首頁

Design optimization under uncertainty

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design optimization under uncertaintyby Weifei Hu.
作者:	Hu, Weifei.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xiii, 274 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Engineering designMathematical models.
電子資源:	https://doi.org/10.1007/978-3-031-49208-2
ISBN:	9783031492082$q(electronic bk.)

Design optimization under uncertainty
Hu, Weifei.

Design optimization under uncertainty[electronic resource] /by Weifei Hu. - Cham :Springer International Publishing :2023. - xiii, 274 p. :ill. (chiefly color), digital ;24 cm.

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.

ISBN: 9783031492082$q(electronic bk.)

Standard No.: 10.1007/978-3-031-49208-2doiSubjects--Topical Terms:

229232
Engineering design
--Mathematical models.

LC Class. No.: TA174

Dewey Class. No.: 620.0042

Design optimization under uncertainty
LDR:02710nmm a2200325 a 4500 001 653441
003 DE-He213
005 20231222075458.0
006 m d
007 cr nn 008maaau
008 240426s2023 sz s 0 eng d
020 $a 9783031492082$q(electronic bk.)
020 $a 9783031492075$q(paper)
024 7 $a 10.1007/978-3-031-49208-2 $2 doi
035 $a 978-3-031-49208-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA174
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 620.0042 $2 23
090 $a TA174 $b .H874 2023
100 1 $a Hu, Weifei. $3 815956
245 1 0 $a Design optimization under uncertainty $h [electronic resource] / $c by Weifei Hu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 274 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Engineering design $x Mathematical models. $3 229232
650 0 $a Probabilities. $3 182046
650 0 $a Reliability. $3 233464
650 1 4 $a Optimization. $3 274084
650 2 4 $a Engineering Design. $3 273752
650 2 4 $a Operations Research and Decision Theory. $3 914898
650 2 4 $a Innovation and Technology Management. $3 913107
650 2 4 $a Design and Analysis of Algorithms. $3 913142
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-49208-2
950 $a Mathematics and Statistics (SpringerNature-11649)