Incremental dynamic analysis (IDA) is widespread to evaluate the seismic response of structures. It employs one records set scaled to multiple intensity levels (IMLs) to estimate the structural response distribution. However, the dominating earthquake scenarios differ with the intensity, and a single set introduces bias that increases with scaling. The response is, however, better estimated using multiple stripe analysis (MSA) by selecting multiple hazard consistent record sets at different IMLs via, for example, conditional spectrum (CS) method. Still, IDA remains a popular tool, and would benefit from a single “good” set that would be more amenable to scaling with minimal bias. We explore alternatives of a “multi-level” CS (CSML) scheme, whereby the seismic properties of multiple IMLs are combined to derive a single set. Combined with advanced IMs, CSML provides a viable trade-off between the more accurate and complex method of CS–MSA versus the conceptually and practically simpler IDA.

中文翻译：

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用于 IDA 的基于多级条件频谱的记录选择

增量动力分析 (IDA) 广泛用于评估结构的地震响应。它使用一个记录集缩放到多个强度级别 (IML) 来估计结构响应分布。然而，主要的地震情景因强度不同而不同，并且单一的地震情景引入了随着缩放而增加的偏差。但是，使用多条带分析 (MSA) 可以更好地估计响应，例如，通过条件谱 (CS) 方法选择不同 IML 处的多个危害一致记录集。尽管如此，IDA 仍然是一个流行的工具，并将受益于单一的“好”集合，该集合更易于以最小的偏差进行缩放。我们探索了“多级”CS (CSML) 方案的替代方案，其中将多个 IML 的地震特性组合以导出单个集合。