 Название: Stochastic Structural Optimization
Автор: Makoto Yamakawa, Makoto Ohsaki
Издательство: CRC Press
Год: 2024
Страниц: 267
Язык: английский
Формат: pdf (true)
Размер: 23.8 MB
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.
Structural optimization is an application of mathematical optimization to structural design. Recent studies have linked structural optimization with robust design by a unified framework of non-parametric stochastic-based methodologies, which provides a rigorous theoretical background and a high level of practicality. The purpose of this monograph is to provide a comprehensive perspective of the development in recent years in the field of robust design optimization of structures. In particular, we will focus on stochastic-based methodologies. In the Chapter 1, basic concepts of stochastic and probabilistic approaches are explained, and some related illustrative examples are introduced.
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.
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