A decision optimization method for resilience-enhanced strategies for slopes based on road network connectivity reliability
Rainfall-induced landslides frequently result in transportation disruptions and compromised network connectivity,diminishing regional disaster resilience.Given that current reliability-based methods for individual slope reinforcement are ineffective in reducing the widespread impact of landslide clusters on road networks,a novel decision optimization method for resilience-enhanced strategies for slopes based on road network connectivity reliability is proposed in this study.The rainfall hazard is assessed using the generalized Pareto distribution.Fragility assessment for the vulnerable slopes identified by geological surveys is performed based on slope seepage-stability analysis.Considering the spatial correlation of slope states under heavy rainfall,the connectivity probability of the road network is estimated by leveraging graph theory and using the Monte Carlo simulation.The road network connectivity reliabilities considering different resilience-enhanced strategies for slopes are calculated to prioritize the slope reinforcements.Under limited resources,vulnerable slopes with significant impacts on road network connectivity are given priority reinforcement to maximize regional network connectivity.The proposed method is illustrated using a hypothetical network in Lishui City,Zhejiang Province,known for its susceptibility to rainfall-induced landslides.Results indicate that the proposed method significantly improves network connectivity through the optimal resilience-enhanced strategies for slopes.This study lays the foundation for a paradigm shift from reliability-based individual slope design to resilience enhancement strategies focusing on the functionality of regional slopes.
rainfall-induced landslide clustersslope reinforcementsroad network connectivityMonte Carlo simulationdisaster resilience
何正迎、黄雨、AKIYAMA Mitsuyoshi、李垠柯、郭桢、FRANGOPOL Dan M.
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同济大学土木工程学院地下建筑与工程系,上海 200092
同济大学土木工程防灾减灾全国重点实验室,上海 200092
Department of Civil and Environmental Engineering,School of Creative Science and Engineering,Waseda University,Tokyo 1698555,Japan
Department of Civil and Environmental Engineering,Engineering Research Center for Advanced Technology for Large Structural Systems(ATLSS Center),Lehigh University,Bethlehem 18015,USA
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