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A ground motion selection and modification method through stratified sampling

机译：通过分层抽样的地面运动选择和修改方法

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摘要

In this article a ground motion selection and modification (GMSM) method is presented, suitable for the probabilistic seismic assessment of the damage state and collapse potential of building structures. The objective is to predict the probability distribution of the engineering demand parameters in a future earthquake event, provided that the spectral acceleration at the fundamental period of the structure is given. The GMSM method uses a vector-valued intensity measure that incorporates the Normalized Spectral Area parameter. Through stratified sampling on the Normalized Spectral Area, optimised ground motion suites are formed. Its advantage over other GMSM methods is that it implicitly matches the multivariate distribution of the response spectrum in the region of the structure elongated period, and it adopts an unbiased estimator of the response central tendency. The GMSM method is applied in the probabilistic response assessment of a first-mode dominated multi-degree-of-freedom system that represents a ten-storey building. Substantial reduction in the computational work is achieved, compared to another method.
机译：在本文中，呈现了地面运动选择和修改（GMSM）方法，适用于建筑物结构的损伤状态和塌陷电位的概率地震评估。目的是预测未来地震事件中工程需求参数的概率分布，条件是给出了结构基本时段的光谱加速度。 GMSM方法使用包含归一化光谱区域参数的矢量值强度测量。通过对归一化光谱区域的分层采样，形成优化的地面运动套件。其优于其他GMSM方法的优点是它隐含地匹配结构细长时段的区域中响应频谱的多变量分布，并且采用响应中心倾向的非偏叠估计。 GMSM方法应用于概率响应评估的第一模式主导的多程度 - 自由度系统，该系统代表十一楼建筑​​。与另一种方法相比，实现了计算工作的大幅减少。

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