An efficient response identification strategy for nonlinear structures subject to nonstationary generated seismic excitations
An efficient response identification strategy for nonlinear structures subject to nonstationary generated seismic excitations
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DOI：
10.1080/15397734.2017.1317269
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发表时间：
2017-04
影响因子：
3.9
通讯作者：
F. Bamer;B. Markert
中科院分区：
文献类型：
--
作者：
F. Bamer;B. Markert
摘要蒙特卡罗方法计算量大。因此，将该方法应用于高维非线性系统实际上是不可行的。因此，本文提出了一种新的策略，这使得评估的高维结构的随机地震激励的反应统计在一个非线性减少低阶子空间。结果表明，新的模型降阶方法提供了克服大规模蒙特卡罗模拟的计算问题的可能性。它提供了可靠的近似的响应统计量，与非约化蒙特卡罗方法相比。
ABSTRACT The Monte Carlo method is computationally demanding. Consequently, applying that method to high-dimensional nonlinear systems is practically not feasible. Therefore, a new strategy is proposed in this article, which enables the evaluation of the response statistics of high-dimensional structures subject to random seismic excitations in a nonlinear reduced low-order subspace. It is shown that the new model order reduction method provides the possibility to overcome the computational issue of large-scale Monte Carlo simulations. It provides reliable approximations of the response statistics, when compared with those of the non-reduced Monte Carlo method.