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Alternative non-linear demand estimation methods for probability-based seismic assessments

机译:基于概率的地震评估的替代性非线性需求估计方法

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摘要

Alternative non-linear dynamic analysis procedures, using real ground motion records, can be used to make probability-based seismic assessments. These procedures can be used both to obtain parameter estimates for specific probabilistic assessment criteria such as demand and capacity factored design and also to make direct probabilistic performance assessments using numerical methods. Multiple-stripe analysis is a non-linear dynamic analysis method that can be used for performance-based assessments for a wide range of ground motion intensities and multiple performance objectives from onset of damage through global collapse. Alternatively, the amount of analysis effort needed in the performance assessments can be reduced by performing the structural analyses and estimating the main parameters in the region of ground motion intensity levels of interest. In particular, single-stripe and double-stripe analysis can provide local probabilistic demand assessments using minimal number of structural analyses (around 20 to 40). As a case study, the displacement-based seismic performance of an older reinforced concrete frame structure, which is known to have suffered shear failure in its columns during the 1994 Northridge Earthquake, is evaluated.
机译:使用真实的地面运动记录的替代性非线性动力分析程序,可以用来进行基于概率的地震评估。这些程序既可以用于获取特定概率评估标准(例如需求和容量分解设计)的参数估计,也可以使用数值方法进行直接概率性能评估。多条带分析是一种非线性动态分析方法,可用于基于性能的评估,包括从破坏发生到整体崩溃的各种地面运动强度和多个性能目标。或者,可以通过执行结构分析和估计感兴趣的地面运动强度水平区域中的主要参数来减少性能评估中所需的分析工作量。特别是,单条和双条分析可以使用最少数量的结构分析(大约20到40)来提供本地概率需求评估。作为一个案例研究,评估了一个旧的钢筋混凝土框架结构的基于位移的抗震性能,该结构在1994年Northridge地震中在其柱中遭受了剪切破坏。

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