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Titlebook: Design Optimization Under Uncertainty; Weifei Hu Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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发表于 2025-3-21 19:28:22 | 显示全部楼层 |阅读模式
书目名称Design Optimization Under Uncertainty
编辑Weifei Hu
视频video
概述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 wi
图书封面Titlebook: Design Optimization Under Uncertainty;  Weifei Hu Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to
描述This book introduces the fundamentals of probability, statistical, and reliability concepts, the classical methods of uncertainty quantification and analytical reliability analysis, and the state-of-the-art approaches of design optimization under uncertainty (e.g., reliability-based design optimization and robust design optimization). The topics include basic concepts of probability and distributions, uncertainty quantification using probabilistic methods, classical reliability analysis methods, time-variant reliability analysis methods, fundamentals of deterministic design optimization, reliability-based design optimization, robust design optimization, other methods of design optimization under uncertainty, and engineering applications of design optimization under uncertainty..
出版日期Textbook 2023
关键词Design Optimization; Design Under Uncertainty; Uncertainty Quantification; Probabilistic Method; Reliabi
版次1
doihttps://doi.org/10.1007/978-3-031-49208-2
isbn_softcover978-3-031-49210-5
isbn_ebook978-3-031-49208-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Basic Concepts of Probability and Reliability,pectation, variance, and covariance are also provided. In addition, typical probability distributions are illustrated, and basic reliability concepts are briefly discussed. This chapter’s goal is to help readers conceptualize the fundamentals of probability and reliability that account for uncertain
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https://doi.org/10.1007/978-94-011-4395-0count for various uncertainties during design optimization. This chapter aims to explore different sources and categories of uncertainties in engineering design, along with the modeling techniques used to quantify and manage uncertainties. The chapter begins by introducing the fundamental concept of
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Pierre Journeau,Nicolas Moh-Ellocations, such as reliability analysis and design optimization, with lower computational costs. The construction of high-accuracy and low-cost surrogate models often involves adaptive sampling. In this chapter, four common methods for constructing surrogate models are introduced. Several evaluation m
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Solid Mechanics and Its Applicationsrformance and uncertain parameters, which makes it very challenging to conduct time-dependent reliability analysis instantly and accurately. This chapter introduces the concept of time-dependent reliability analysis, followed by current time-dependent reliability analysis methods that are divided in
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Basic concepts of analytical dynamicsntenance costs, and has attracted attention in recent years. This chapter offers the basic concept of RBDO, the details of RBDO formulation, and two categories of RBDO methods in an easy-to-follow way. The two categories of RBDO methods are the most probable point (MPP)-based RBDO method and the sam
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