This article presents a brief survey on some of the latest developments in the area of reliability-based design optimization of structural systems under stochastic excitation. The contributions are grouped into three main categories, namely, sequential optimization approaches, stochastic search based techniques, and schemes based on augmented reliability spaces. The different approaches are described and summarized. In addition, remarks are provided about their range of application, advantages, disadvantages, relevance, and potential research directions. The literature review indicates that computational aspects play a key role in the solution of this class of optimization problems. Besides, this overview suggests that methods for optimal design in stochastic structural dynamics are no longer restricted to academic-type of problems but they can be used as tools in a class of engineering design problems as well.

本文简要介绍了随机激励下结构系统基于可靠性的设计优化领域的一些最新发展。这些贡献分为三个主要类别，即顺序优化方法、基于随机搜索的技术和基于增强可靠性空间的方案。描述和总结了不同的方法。此外，还提供了关于它们的应用范围、优点、缺点、相关性和潜在研究方向的评论。文献综述表明，计算方面在解决此类优化问题中起着关键作用。除了，