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Multidisciplinary design optimization and its application in deep manned submersible design

This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and sat...

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Detalles Bibliográficos
Autores principales: Pan, Binbin, Cui, Weicheng
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-15-6455-0
http://cds.cern.ch/record/2729509
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author Pan, Binbin
Cui, Weicheng
author_facet Pan, Binbin
Cui, Weicheng
author_sort Pan, Binbin
collection CERN
description This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.
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spelling cern-27295092021-04-21T18:05:06Zdoi:10.1007/978-981-15-6455-0http://cds.cern.ch/record/2729509engPan, BinbinCui, WeichengMultidisciplinary design optimization and its application in deep manned submersible designMathematical Physics and MathematicsThis book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.Springeroai:cds.cern.ch:27295092020
spellingShingle Mathematical Physics and Mathematics
Pan, Binbin
Cui, Weicheng
Multidisciplinary design optimization and its application in deep manned submersible design
title Multidisciplinary design optimization and its application in deep manned submersible design
title_full Multidisciplinary design optimization and its application in deep manned submersible design
title_fullStr Multidisciplinary design optimization and its application in deep manned submersible design
title_full_unstemmed Multidisciplinary design optimization and its application in deep manned submersible design
title_short Multidisciplinary design optimization and its application in deep manned submersible design
title_sort multidisciplinary design optimization and its application in deep manned submersible design
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-981-15-6455-0
http://cds.cern.ch/record/2729509
work_keys_str_mv AT panbinbin multidisciplinarydesignoptimizationanditsapplicationindeepmannedsubmersibledesign
AT cuiweicheng multidisciplinarydesignoptimizationanditsapplicationindeepmannedsubmersibledesign