Design Optimization Under Uncertainty

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) metho...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Hu, Weifei (Author)
সংস্থা লেখক: SpringerLink (Online service)
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: Cham : Springer International Publishing : Imprint: Springer, 2023.
সংস্করন:1st ed. 2023.
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-3-031-49208-2
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245 1 0 |a Design Optimization Under Uncertainty  |h [electronic resource] /  |c by Weifei Hu. 
250 |a 1st ed. 2023. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2023. 
300 |a 1 online resource (XIII, 274 p. 94 illus.).  |b 68 illus. in color. 
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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. 
532 8 |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility 
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532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
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650 0 |a Mathematical optimization. 
650 0 |a Engineering design. 
650 0 |a Operations research. 
650 0 |a Technological innovations. 
650 0 |a Algorithms. 
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650 2 4 |a Engineering Design. 
650 2 4 |a Operations Research and Decision Theory. 
650 2 4 |a Innovation and Technology Management. 
650 2 4 |a Design and Analysis of Algorithms. 
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