Uncertainty-Based Ship Design Optimization

Theory and Method

AvZuyuan Liu,Xiao Wei

Inbunden, Engelska, 2024

1 849 kr

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Beskrivning

The book focused on the basic bottleneck issues in the ship uncertainty-based design optimization. Based on the concepts of robustness and reliability design, uncertainty classification, uncertainty modeling, uncertainty analysis and propagation methods were systematically explained, revealing the influence mechanism and rules of multi-source aleatory and epistemic uncertainty on ship design. Finally, a hull form design optimization method with mixed uncertainty was established. The theory of uncertainty design optimization is not yet mature, and this book gives a detailed introduction. The illustrations and tables in this book compared the differences between uncertainty-based optimization and traditional deterministic optimization, reflecting the advantages of uncertainty optimization. This book will be a useful reference for researchers and engineers in the field of ship design.

Produktinformation

Utgivningsdatum:2024-07-17
Mått:155 x 235 x 16 mm
Vikt:488 g
Format:Inbunden
Språk:Engelska
Antal sidor:174
Förlag:Springer Verlag, Singapore
ISBN:9789819729722

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Mer om författaren

Zuyuan Liu is chief professor of shipbuilding and ocean engineering at Wuhan University of Technology, China. He is director of the Key Laboratory of High Performance Ship Technology of the Ministry of Education, vice chairman of the China Shipbuilding Engineering Society, executive director of the China Shipbuilding Industry Association, and member of the Ship Mechanics Committee; member of the academic committee of the National Key Laboratory of Dynamics.Xiao Wei works at China Ship Development and Design Center, Wuhan, China.Baiwei Feng and Haichao Chang are faculties at School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, China.

Innehållsförteckning

Chapter 1 Introduction.- Chapter 2 Classification of the uncertainty.- Chapter 3 Analytical transfer of aleatory uncertainty.- Chapter 4 Modelling of epistemic uncertainty.- Chapter 5 Mixed uncertainty analysis and propagation method.- Chapter 6 Hull form optimisation under mixed uncertainty.