Seismic loss assessment for buildings with various-LOD BIM data
Seismic loss assessment for buildings with various-LOD BIM data
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使用各种 LOD BIM 数据对建筑物进行地震损失评估
DOI：
10.1016/j.aei.2018.12.003
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发表时间：
2019-01
影响因子：
8.8
通讯作者：
Li Yi
中科院分区：
文献类型：
--
作者：
Xu Zhen;Lu Xinzheng;Zeng Xiang;Xu Yongjia;Li Yi
地震引起的建筑物损失是抗震城市的一个基本问题。FEMA P-58方法是一种最先进的建筑物地震损失评估方法。然而，由于FEMA P-58方法是一种精细的部件级损耗评估方法，因此需要非常详细的数据作为输入。因此，建筑细节的知识将影响地震损失评估。在这项研究中，地震损失评估方法的建筑信息模型（BIM）相结合的FEMA P-58方法的建议。详细的建筑物数据是从建筑物信息模型中自动获得的，其中建筑物组件可能具有不同的开发级别（LOD）。提出了在信息不完全的情况下，构件类型的确定和构件易损性函数的建立。提出了基于Autodesk Revit应用程序编程接口（API）的BIM建模规则和信息提取方法。最后，以一个可在线查询的办公楼为例，进行了基于不同LOD BIM数据的地震损失评估，验证了所提方法的合理性。结果表明，一方面，即使在建筑物信息有限的情况下，该方法仍能得到可接受的损失评估结果;另一方面，在信息量较大的情况下，该方法能提高评估的准确性，降低不确定性。该研究为建筑物精细化地震损失评估的自动化提供了有益的参考。
Earthquake-induced loss of buildings is a fundamental concern for earthquake-resilient cities. The FEMA P-58 method is a state-of-the-art seismic loss assessment method for buildings. Nevertheless, because the FEMA P-58 method is a refined component-level loss assessment method, it requires highly detailed data as the input. Consequently, the knowledge of building details will affect the seismic loss assessment. In this study, a seismic loss assessment method for buildings combining building information modeling (BIM) with the FEMA P-58 method is proposed. The detailed building data are automatically obtained from the building information model in which the building components may have different levels of development (LODs). The determination of component type and the development of the component vulnerability function when the information is incomplete are proposed. The modeling rules and the information extraction from BIM through the Autodesk Revit application programming interface (API) are also proposed. Finally, to demonstrate the rationality of the proposed method, an office building that is available online is selected, and the seismic loss assessments with various-LOD BIM data are performed as case studies. The results show that, on the one hand, even if the available building information is limited, the proposed method can still produce an acceptable loss assessment; on the other hand, given more information, the accuracy of the assessment can be improved and the uncertainty can be reduced using the proposed method. Consequently, this study provides a useful reference for the automation of the refined seismic loss assessment of buildings.
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影响因子：
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