摘要
针对盐湖地区输电杆塔地面沉降灾害频发,输电杆塔易损性定量评价困难的问题,以易损性评价的核心指标——致灾强度为突破口,提出了一种基于小基线集合成孔径雷达干涉测量(SBAS-InSAR)技术求解输电线路地面沉降致灾强度的经验模型,实现了输电杆塔地面沉降易损性的定量评价。该模型首先利用SBAS-InSAR技术解译线路沿线地面变形,并开展输电线路杆塔地面沉降易损性的现场调查,然后结合粒子群算法与模糊层次分析法(PSO-Fuzzy AHP)评估杆塔地面沉降抗灾能力,最后建立杆塔地面沉降致灾强度模型,形成输电杆塔地面沉降易损性分析方法,并开展杆塔地面沉降易损性定量评价和验证。结果表明:利用致灾强度经验公式能有效地定量获得杆塔地面沉降易损性结果;基于致灾强度曲线I_(p)=0.1D_(tot)^(0.306)(D_(tot)为地面累计沉降量)的杆塔地面沉降易损性计算结果与实际杆塔变形情况最为吻合。所提出的输电线路杆塔地面沉降易损性定量评价方法可为后续的杆塔治理与维护提供参考。
Given the frequent occurrences of land subsidence disasters in the salt lake area,along with the inherent difficulties in quantitatively assessing the vulnerability of transmission towers,this study addresses the problem by introducing an empirical model based on small baseline integrated aperture radar interferometry(SBAS-InSAR)technology to assess the land subsidence-induced disaster intensity of transmission lines.The model first used SBAS-InSAR technology to interpret land deformation along the line,and carried out on-site investigation of the vulnerability of transmission line towers.Then,it combined the particle swarm optimization and fuzzy analytic hierachycal process(PSO-Fuzzy AHP)to evaluate the disaster resistance capacity of land subsidence for the towers.And finally a model was established for the impact of land deformation on the towers,forming a vulnerability analysis method for land subsidence of transmission towers,conducting quantitative assessment and verification of vulnerability for land subsidence of the towers.The results show that the empirical formula for disaster intensity effectively quantifies the vulnerability of tower land subsidence,and the vulnerability calculation results based on the disaster intensity curve I_(pm)=0.1_(Dtot)^(0.306)closely align with the actual tower deformation and damage.The proposed quantitative assessment method of vulnerability for transmission tower lines can serve as a reference for the subsequent governance and maintenance of towers.
作者
金必晶
曾韬睿
王生杰
桂蕾
殷坤龙
赵斌滨
刘毅
郭宝瑞
王晓峰
张永胜
孙德志
JIN Bijing;ZENG Taorui;WANG Shengjie;GUI Lei;YIN Kunlong;ZHAO Binbin;LIU Yi;GUO Baorui;WANG Xiaofeng;ZHANG Yongsheng;SUN Dezhi(Faculty of Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China;State Grid Qinghai Electric Power Research Institute,Qinghai 810008,China;Research Institute of Transmission and Transformation Projects,China Electric Power Research Institute,State Grid Corporation of China,Beijing 100192,China)
出处
《安全与环境工程》
CAS
CSCD
北大核心
2024年第6期152-160,共9页
Safety and Environmental Engineering
基金
国家电网公司总部管理科技项目(52280721000A)。