| 台风灾害下多种公路构筑物快速智能风险评估 |
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| 引用本文： | 刘小玲 裴伦友 丁,勇 舒海斌 孔青青 万克为 曹之彬.台风灾害下多种公路构筑物快速智能风险评估[J].宁波大学学报(理工版),2022,0(6):35-40. |
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| 作者姓名： | 刘小玲 裴伦友 丁 勇 舒海斌 孔青青 万克为 曹之彬 |
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| 作者单位： | 1.宁波大学 海运学院, 浙江 宁波 315832; 2.宁波大学 土木工程与地理环境学院, 浙江 宁波 315211; 3.海曙区公路与运输管理中心, 浙江 宁波 315012; 4.中国太平洋财产保险股份有限公司宁波分公司, 浙江 宁波 315001 |
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| 摘 要： | 针对台风灾害下公路上构筑物种类多样、数量众多的特点, 提出一种快速化、智能化的公路台风灾害风险评估模型. 在对公路灾害风险的可能性分析中, 建立边坡、桥梁、隧道出入口、路基以及路面统一框架下的三层灾害风险事故可能性指标体系, 其中承灾体自身因素的底层指标根据不同构筑物特点, 从关键风险指标、构筑物自身状况和承灾体破坏因子三个方面选取, 从而使自动化、智能化评估成为可能; 在对公路灾害风险损失的定量计算中, 将事故可能性和事故损失耦合, 实现公路事故损失的风险评估自动化; 更加注重事故预防性和智能巡检, 建立了侧重于事故可能性的非对称公路灾害风险计算方法, 风险评估结果量化在0到1的范围内. 开发出相关的智能化风险评估系统平台, 实现对2019年8月10日台风“利奇马”影响下的宁波市国省道公路的自动化、智能化灾害风险评估, 结果表明, 该评估模型能够快速、准确地形成台风灾害下公路上多种构筑物的风险评估, 便于筛选重点巡检对象.
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| 关 键 词： | 道路工程 风险评估 公路 台风灾害 构筑物 |
Rapid intelligent risk assessment of various highway structures under typhoon disaster |
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| LIU Xiaoling,PEI Lunyou,DING Yong,SHU Haibin,KONG Qingqing,WAN Kewei,CAO Zhibin.Rapid intelligent risk assessment of various highway structures under typhoon disaster[J].Journal of Ningbo University(Natural Science and Engineering Edition),2022,0(6):35-40. |
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| Authors: | LIU Xiaoling PEI Lunyou DING Yong SHU Haibin KONG Qingqing WAN Kewei CAO Zhibin |
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| Affiliation: | 1.Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China; 2.School of Civil & Environmental Engineering and Geography Science, Ningbo University, Ningbo 315211, China; 3.Highway and Transportation Management Center of Haishu, Ningbo 315012, China; 4.China Pacific Property Insurance Co., Ltd., Ningbo branch, Ningbo 315001, China |
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| Abstract: | According to the characteristics of various types and large number of structures on the highway under typhoon disaster, a rapid and intelligent highway typhoon disaster risk assessment model was proposed. When analyzing the possibility of highway disaster risk, a three-tier disaster risk and accident possibility index system under the unified framework of slope, bridge, tunnel entrance and exit, subgrade and pavement was established. The bottom indicators of the factors of the disaster bearing body were selected from three aspects the key risk indicators, the condition of the structure itself and the damage factors of the disaster bearing body according to the characteristics of different structures. This approach makes the automatic and intelligent assessment possible. In the quantitative calculation of highway disaster risk loss, the accident possibility and accident loss were coupled to realize the automatic risk assessment of highway accident loss. By paying more attentions on accident prevention and intelligent inspection, an asymmetric highway disaster risk calculation method focusing on accident possibility was established. The risk assessment results were quantified in the range of 0 to 1. A relevant intelligent risk assessment system was also developed, which was successfully applied in the automatic and intelligent disaster risk assessment of the national and provincial roads in Ningbo under the influence of typhoon “Lekima” on August 10, 2019. The results show that the assessment model can quickly and accurately form the risk assessment of various structures on the highway under typhoon disaster, which is convenient for screening key inspection objects. |
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| Keywords: | road engineering risk assessment highway typhoon disaster structures |
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