地震损失估算中包层贡献函数的发展

IF 0.8 Q4 ENGINEERING, GEOLOGICAL
S. Khakurel, T. Yeow, Frankie Chen, Zam Wang, S. Saha, R. Dhakal
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引用次数: 9

摘要

在结构设计阶段快速估计地震损失的一种方法是使用贡献函数。这些是各种建筑组件(如覆层、隔板和天花板)的预期损失(如损坏修复成本、停机时间和伤害)与建筑响应之间的关系。本研究旨在开发考虑损坏修复成本的不同类型建筑中使用的常见类型覆层的贡献函数。在本研究的第一部分,进行了一项建筑调查,以确定新西兰克赖斯特彻奇住宅、商业和工业建筑中使用的覆层的类型和数量;发现最常见的覆层类型是玻璃、砖石贴面、整体覆层和预制板。调查期间收集的数据也用于开发包层分布(即密度)函数。第二步涉及从相关文献中识别脆性函数,这些文献适用于新西兰使用的覆层细节。第三步涉及调查顾问、供应商和建筑商的典型维修/更换成本。最后,进行蒙特卡罗模拟,将包层密度函数与每种类型包层的脆性函数和维修成本相结合,得出各种类型包层和建筑用途的贡献函数。提供了一个例子(案例研究)来演示它的用法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of cladding contribution functions for seismic loss estimation
One method to rapidly estimate seismic losses during the structural design phase is to use contribution functions. These are relationships between expected losses (e.g. damage repair costs, downtime, and injury) for a wide range of building components (e.g. cladding, partitions, and ceilings) and the building’s response. This study aims to develop contribution functions for common types of cladding used in different types of buildings considering damage repair costs. In the first part of this study, a building survey was performed to identify types and quantity of cladding used in residential, commercial and industrial buildings in Christchurch, New Zealand; where it was found that the most common cladding types are glazing, masonry veneer, monolithic cladding and precast panels. The data collected during the survey was also used to develop cladding distribution (i.e. density) functions. The second step involved identifying fragility functions from relevant literature which are applicable to the cladding detailing used in New Zealand. The third step involved surveying consultants, suppliers and builders on typical repair/replacement cost. Finally, Monte Carlo simulations were performed to combine the cladding density function with the fragility functions and the repair cost for each type of cladding to derive contribution functions for various types of cladding and building usage. An example (case study) is provided to demonstrate its usage.
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来源期刊
CiteScore
2.50
自引率
17.60%
发文量
14
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