Despite significant progress made recently on simplifying the loss estimation procedures, they are not easy to use in engineering design practice. One of the reasons for this is insufficient information regarding the inevitable variations in the type and density of structural and non-structural components present in various building usages. This study aims to establish building usage groups with similar proportions of structural and non-structural components and compute the corresponding weighting factors. The methodology adopted in this study can be used in other regions; however, herein concluded values and building usage groups are based on New Zealand–specific information. The method involves extracting component construction/installation costs from construction handbooks for a range of different building usages, assembling components into three performance groups (structural, drift-sensitive non-structural, and acceleration-sensitive non-structural), then grouping the building types based on similar structural and non-structural component costs. Four different building usage groups are identified, and probabilistic distribution parameters of the performance group weighting factors for each group are proposed. A case study demonstrating the application of these weighting factors in seismic loss estimation is provided.

中文翻译：

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不同用途建筑物快速地震损失估计的性能组加权因子

尽管最近在简化损失估计程序方面取得了重大进展，但它们在工程设计实践中并不容易使用。造成这种情况的原因之一是关于各种建筑用途中存在的结构和非结构部件的类型和密度不可避免的变化的信息不足。本研究旨在建立结构和非结构组件比例相似的建筑使用组，并计算相应的权重系数。本研究采用的方法可用于其他地区；然而，此处得出的结论值和建筑使用组是基于新西兰的特定信息。该方法涉及从一系列不同建筑用途的建筑手册中提取组件建造/安装成本，将组件组装成三个性能组（结构、漂移敏感的非结构和加速度敏感的非结构），然后根据相似的结构和非结构组件成本对建筑类型进行分组。确定了四个不同的建筑使用组，并提出了每个组的性能组加权因子的概率分布参数。提供了一个案例研究，展示了这些加权因子在地震损失估计中的应用。并提出了每组性能组加权因子的概率分布参数。提供了一个案例研究，展示了这些加权因子在地震损失估计中的应用。并提出了每组性能组加权因子的概率分布参数。提供了一个案例研究，展示了这些加权因子在地震损失估计中的应用。