Optimization of uncertain structures subject to stochastic wind loads under system-level first excursion constraints: A data-driven approach

摘要

This work proposes a novel data-driven optimization strategy that can efficiently handle system-level first excursion performance constraints posed on large-scale uncertain structures subject to general stochastic wind excitation. The framework is centered on defining and solving a limited sequence of decoupled optimization sub-problems. In particular, each problem is formulated in terms of information obtained from a single simulation carried out in the solution of the previous sub-problem. Two examples involving the optimal design of uncertain systems subject to stochastic wind loads are presented to demonstrate the effectiveness, efficiency, and scalability of the proposed framework. (C) 2018 Elsevier Ltd. All rights reserved.