Vulnerability assessment model for hazard bearing body and landslide risk index

WU Yue; LIU Dong-sheng; LU Xin; SONG Qiang-hui

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Vulnerability assessment model for hazard bearing body and landslide risk index

更新时间：2026-06-25

- Vulnerability assessment model for hazard bearing body and landslide risk index
- Vol. 32, Issue 8, (2011)
- 作者机构：
  
  1. 后勤工程学院建筑工程系,重庆,400041
  2. 重庆市地质矿产勘查开发局,重庆,400039
- 作者简介：
- 基金信息：
- DOI：
  CLC： X43
- Online First：16 August 2011，
  
  Published：2011
- 稿件说明：
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WU Yue, LIU Dong-sheng, LU Xin, et al. Vulnerability assessment model for hazard bearing body and landslide risk index[J]. 2011, 32(8).
DOI：

WU Yue, LIU Dong-sheng, LU Xin, et al. Vulnerability assessment model for hazard bearing body and landslide risk index[J]. 2011, 32(8). DOI：

摘要

承灾体易损性定量评估是制约滑坡灾害风险评估研究的瓶颈问题。为此，以滑坡体冲击冲量为致灾强度指标、建筑物整体抗剪力为抗灾性能指标，推导出典型承灾体易损性定量评估模型。在此基础上，考虑滑体运动特征参数随机性对易损性的影响，提出风险曲线和最大风险度指标的概念，以反映滑坡灾害成灾全过程中不确定性对灾害后果的影响。并采用该模型分析了坡体几何特征参数、受灾体空间位置以及受灾体抗灾性能对易损性的影响规律。将风险度指标应用于算例分析，并与以往方法进行了比较，分析发现，建立的易损性定量评估模型可以反映二维简化情况下受灾体毁损程度与各种影响因素之间关系的基本规律，为易损性定量评估提供了一种途径。

Abstract

Quantitative assessment of vulnerability for hazard bearing body is a difficult problem in landslide risk assessment. Taking impulse of landslide impact as disaster-causing strength index and taking whole shear force of building as disaster-resisting performance index

the quantitative assessment model for vulnerability of typical hazard bearing body is deduced. On this basis

considering the influence of randomness of movement parameter on vulnerability

the risk curve and maximum risk index are put forward so as to reflect the influence of uncertainty in process of landslide hazard. Influence of geometrical parameters of slope

space location and disaster-resisting performance of hazard bearing body on vulnerability are analyzed based on the model. Using risk index for case study and comparing with the existing methods

the quantitative assessment model can reflect the relationship between damage degree of hazard bearing body with each influential factor in two-dimension condition. The model provides a new way for quantitative assessment of vulnerability

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