Stochastic Structural Optimization

Stochastic Structural Optimization provides a rigorous theoretical background and practical approach to robust design optimization of structures, connecting reliability-based design and worst-case approaches with non-parametric stochastic methodologies.

Format: Hardback
Length: 254 pages
Publication date: 08 August 2023
Publisher: Taylor & Francis Ltd

Stochastic Structural Optimization presents a comprehensive framework for robust design optimization of structures, focusing on nonparametric stochastic-based methodologies. In practical structural design, uncertainty must be accounted for, where reliability-based design is a standard approach, often incorporating assumptions about probability functions that are often unknown. In contrast, a worst-case approach with bounded support used as a robust design offers simplicity and reduced sensitivity. By integrating structural optimization with these two approaches through a unified framework of non-parametric stochastic methodologies, a rigorous theoretical foundation is established, while also providing a high level of practicality. This text demonstrates how to apply this theoretical framework in civil and mechanical engineering practice to design safe structures that consider uncertainty.

The book is advanced enough to support sound practical designs, making it an invaluable resource 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 a former President of the Asian Society for Structural and Multidisciplinary Optimization.

Dimension: 234 x 156 (mm)
ISBN-13: 9780367720391