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Book synopsis

Stochastic Structural Optimization presents a comprehensive picture of robust design optimization of structures, focused on nonparametric stochastic-based methodologies. Good practical structural design accounts for uncertainty, for which reliability-based design offers a standard approach, usually incorporating assumptions on probability functions which are often unknown. By comparison, a worst-case approach with bounded support used as a robust design offers simplicity and a lower level of sensitivity. Linking structural optimization with these two approaches by a unified framework of non-parametric stochastic methodologies provides a rigorous theoretical background and high level of practicality. This text shows how to use this theoretical framework in civil and mechanical engineering practice to design a safe structure which accounts for uncertainty.

• Connects theory with practice in the robust design optimization of structures
• Advanced enough to support sound practical designs

This book provides comprehensive coverage for engineers and graduate students in civil and mechanical engineering.

Makoto Yamakawa is a Professor at Tokyo University of Science, and a member of the Advisory Board of the 2020 Asian Congress of Structural and Multidisciplinary Optimization.

Makoto Ohsaki is a Professor at Kyoto University, Japan, treasurer of the International Association for Shell & Spatial Structures and former President of the Asian Society for Structural and Multidisciplinary Optimization.

Book details

• Full title: Stochastic Structural Optimization
• Author: Makoto (Tokyo University of Science) Yamakawa, Ohsaki, Makoto (Kyoto University, Japan)
• Language: English
• Binding: Hardback
• Number of pages: 264
• EAN: 9780367720391
• ID: 43108147
• Publisher: Taylor & Francis Ltd
• Weight: 453 g
• Dimensions: 234 × 156 mm
• Date of publishing: 07. July 2023

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