同济大学土木工程学院,上海 200092
陆盟(1998—),男,博士后。主要从事岩土灾害韧性防控研究。E-mail: lumeng@tongji.edu.cn
张洁(1980—),男,教授,博导,博士。主要从事岩土灾害韧性防控研究。E-mail: cezhangjie@tongji.edu.cn
网络首发:2026-05-06,
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陆盟, 马翔宇, 张洁, 等. 自然灾害下基础设施韧性指标与计算方法[J/OL]. 防灾减灾工程学报, 2026,1-9.
LU Meng, MA Xiangyu, ZHANG Jie, et al. Resilience Index of Infrastructure under Natural Hazards and Its Calculation Method[J/OL]. Journal of Disaster Prevention and Mitigation Engineering, 2026, 1-9.
陆盟, 马翔宇, 张洁, 等. 自然灾害下基础设施韧性指标与计算方法[J/OL]. 防灾减灾工程学报, 2026,1-9. DOI: 10.13409/j.cnki.jdpme.20250908001.
LU Meng, MA Xiangyu, ZHANG Jie, et al. Resilience Index of Infrastructure under Natural Hazards and Its Calculation Method[J/OL]. Journal of Disaster Prevention and Mitigation Engineering, 2026, 1-9. DOI: 10.13409/j.cnki.jdpme.20250908001.
由于自然灾害下基础设施安全性普遍较高,现有韧性指标难以有效区分不同基础设施安全水平。针对上述不足,首先通过表征自然灾害强度与基础设施参数不确定性,求解给定时间段内多场自然灾害造成的基础设施功能损失期望值,基于概率积分变换,定义了能够有效区分不同基础设施安全水平的韧性指标。之后分别求解不确定性条件下基础设施受损概率、受损基础设施功能损失期望值以及受损基础设施恢复时间期望值,构建了自然灾害下基础设施韧性高效计算方法。最后应用提出的韧性指标与计算方法,研究了降雨条件下公路边坡韧性。结果表明,公路边坡韧性指标与受损概率、功能损失期望值、恢复时间期望值均呈负相关关系,其中受损概率对公路边坡韧性的影响程度最高。
Given the generally high level of infrastructure safety during natural hazards
existing resilience indexes struggle to effectively differentiate the varying safety levels of different infrastructures. To address the limitation
the uncertainties in natural hazard intensity and infrastructure parameters are first characterized to calculate the expected value of infrastructure functional losses caused by multiple natural hazards over a given time period. Based on the probability integral transform
a resilience index is defined that can effectively distinguish the safety levels of different infrastructures. Subsequently
the damage probability of infrastructure under uncertainty
the expected value of functional losses for damaged infrastructure
and the expected value of recovery time for damaged infrastructure are calculated respectively
thereby constructing an efficient calculation method for infrastructure resilience under natural hazards. Finally
the proposed resilience index and calculation method are applied to study the resilience of highway slopes under rainfall. The results indicate that the resilience index of highway slopes exhibits a negative correlation with the damage probability
expected value of functional loss
and expected value of recovery time. Among these factors
the damage probability has the most significant impact on the resilience of highway slopes.
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