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首页> 外文期刊>Earthquake Engineering & Structural Dynamics >Modification of stochastic ground motion models for matching target intensity measures
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Modification of stochastic ground motion models for matching target intensity measures

机译：修改随机地面运动模型以匹配目标强度测度

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摘要

Stochastic ground motion models produce synthetic time-histories by modulating a white noise sequence through functions that address spectral and temporal properties of the excitation. The resultant ground motions can be then used in simulation-based seismic risk assessment applications. This is established by relating the parameters of the aforementioned functions to earthquake and site characteristics through predictive relationships. An important concern related to the use of these models is the fact that through current approaches in selecting these predictive relationships, compatibility to the seismic hazard is not guaranteed. This work offers a computationally efficient framework for the modification of stochastic ground motion models to match target intensity measures (IMs) for a specific site and structure of interest. This is set as an optimization problem with a dual objective. The first objective minimizes the discrepancy between the target IMs and the predictions established through the stochastic ground motion model for a chosen earthquake scenario. The second objective constraints the deviation from the model characteristics suggested by existing predictive relationships, guaranteeing that the resultant ground motions not only match the target IMs but are also compatible with regional trends. A framework leveraging kriging surrogate modeling is formulated for performing the resultant multi-objective optimization, and different computational aspects related to this optimization are discussed in detail. The illustrative implementation shows that the proposed framework can provide ground motions with high compatibility to target IMs with small only deviation from existing predictive relationships and discusses approaches for selecting a final compromise between these two competing objectives.
机译：随机地面运动模型通过处理激发的频谱和时间特性的函数来调制白噪声序列，从而产生合成时间历史。然后，可以将所得的地面运动用于基于仿真的地震风险评估应用中。这是通过预测关系将上述函数的参数与地震和现场特征相关联而建立的。与使用这些模型有关的一个重要问题是，通过当前选择这些预测关系的方法，不能保证与地震危险的兼容性。这项工作为修改随机地面运动模型提供了有效的计算框架，以匹配目标特定位置和结构的目标强度测度（IM）。这被设置为具有双重目标的优化问题。第一个目标是使目标IM与通过选定地震场景的随机地震动模型建立的预测之间的差异最小化。第二个目标限制了现有预测关系所暗示的与模型特征的偏离，从而确保了所得的地面运动不仅与目标IM匹配，而且与区域趋势兼容。制定了利用克里金代理模型进行建模的框架，以执行最终的多目标优化，并详细讨论了与该优化有关的不同计算方面。说明性的实施方式表明，所提出的框架可以为地面IM提供与目标IM高度兼容的地面运动，并且与现有预测关系的偏差很小，并且讨论了在这两个相互竞争的目标之间选择最终折衷方案。

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