โ Scribed by Binbin Pan, Weicheng Cui
No coin nor oath required. For personal study only.
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.Front Matter ....Pages i-xiv
Introduction (Binbin Pan, Weicheng Cui)....Pages 1-15
Multidisciplinary Design Optimization Theory (Binbin Pan, Weicheng Cui)....Pages 17-87
Uncertainty Theory (Binbin Pan, Weicheng Cui)....Pages 89-111
The Analysis of System Reliability (Binbin Pan, Weicheng Cui)....Pages 113-132
Reliability Based Multi-disciplinary Design Optimization Based on Reliability (Binbin Pan, Weicheng Cui)....Pages 133-180
Design of Manned Submersible (Binbin Pan, Weicheng Cui)....Pages 181-205
Application of Multi-disciplinary Design Optimization in Manned Submersible Design (Binbin Pan, Weicheng Cui)....Pages 207-292
Engineering; Offshore Engineering; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Optimization; Oceanography; Quality Control, Reliability, Safety and Risk
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