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Robust Design Optimization of Structural Systems Under Evolutionary Stochastic Seismic Excitation

机译:演化随机地震激励下结构系统的鲁棒设计优化

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An efficient robust design optimization (RBO) framework is developed for linear multi-degree-of-freedom (MDOF) structural systems subject to evolutionary stochastic earthquake excitations. A significant feature of the developed RBO framework relates to the consideration of both inter-storey drift and floor acceleration second order statistics as performance measures. Further, an efficient frequency domain approach is utilized for determining the system response Evolutionary Power Spectrum (EPS) matrix circumventing computationally intensive Monte Carlo simulations. Furthermore, the optimization problem is solved by employing a Genetic Algorithm based approach. An illustrative numerical example is included to demonstrate the efficiency and robustness of the proposed framework.
机译:针对线性多自由度(MDOF)结构系统,开发了一种有效的鲁棒设计优化(RBO)框架,该结构系统受演化随机地震激励的影响。已开发的RBO框架的一个重要功能涉及将层间漂移和地板加速度二阶统计数据作为性能指标的考虑。此外,有效的频域方法用于确定系统响应,进化功率谱(EPS)矩阵,从而避免了计算量大的蒙特卡洛模拟。此外,通过采用基于遗传算法的方法解决了优化问题。包括一个说明性的数值示例,以证明所提出框架的效率和鲁棒性。

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