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Probabilistic seismic demand model for pounding risk assessment

机译：用于冲击风险评估的概率地震需求模型

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Earthquake-induced pounding of adjacent structures can cause severe structural damage, and advanced probabilistic approaches are needed to obtain a reliable estimate of the risk of impact. This study aims to develop an efficient and accurate probabilistic seismic demand model (PSDM) for pounding risk assessment between adjacent buildings, which is suitable for use within modern performance-based engineering frameworks. In developing a PSDM, different choices can be made regarding the intensity measures (IMs) to be used, the record selection, the analysis technique applied for estimating the system response at increasing IM levels, and the model to be employed for describing the response statistics given the IM. In the present paper, some of these choices are analyzed and evaluated first by performing an extensive parametric study for the adjacent buildings modeled as linear single-degree-of-freedom systems, and successively by considering more complex nonlinear multi-degree-of-freedom building models. An efficient and accurate PSDM is defined using advanced intensity measures and a bilinear regression model for the response samples obtained by cloud analysis. The results of the study demonstrate that the proposed PSDM allows accurate estimates of the risk of pounding to be obtained while limiting the number of simulations required. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译：地震引起的相邻结构的撞击可能会导致严重的结构损坏，因此需要先进的概率方法来获得对撞击风险的可靠估计。这项研究旨在开发一种有效，准确的概率地震需求模型（PSDM），用于对相邻建筑物之间的撞击风险进行评估，该模型适用于基于现代性能的工程框架。在开发PSDM时，可以针对要使用的强度度量（IM），记录选择，用于估计IM级别不断提高的系统响应而应用的分析技术以及用于描述响应统计信息的模型做出不同的选择。给定即时消息。在本文中，首先通过对模型化为线性单自由度系统的相邻建筑物进行广泛的参数研究，然后再考虑更复杂的非线性多自由度，对其中的一些选择进行分析和评估。建筑模型。针对通过云分析获得的响应样本，使用高级强度度量和双线性回归模型定义了有效而准确的PSDM。研究结果表明，所提出的PSDM可以在不限制所需模拟次数的情况下，获得对撞击风险的准确估计。版权所有（C）2016 John Wiley＆Sons，Ltd.

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