大型城市管网抗震可靠性分析与优化

英文篇名：Large-scale urban network seismic reliability analysis and optimization
中文刊名：地震工程与工程振动
英文刊名：Earthquake Engineering and Engineering Vibration
作者：李杰 ; 刘威
英文作者：Li Jie~(1 ; 2) ; Liu Wei~(1)(1.Building Engineering Department ; Tongji University ; Shanghai 200092 ; China ; 2.State Key Laboratory forDisaster Reduction in Civil Engineering ; Shanghai 200092 ; China)
中文关键词：大型管网 ; 渗漏模型 ; 一次二阶矩 ; 递推分解算法 ; 拓扑优化
英文关键词：large-scale network ; leakage model ; first-order reliability method ; recursive decomposition algorithm ; topology optimization
出版日期：2006-06-30
机构：同济大学建筑工程系,同济大学建筑工程系上海200092,同济大学土木工程防灾国家重点试验室,上海200092,上海200092
年：2006
期：03
出版单位：地震工程与工程振动

摘要

本文提出了地震作用下供水系统的渗漏模型,发展了地震后带渗漏管网的流分析技术,结合一次二阶矩方法获得了地震后供水管网的功能可靠度。针对供燃气管网系统则提出了一类高效精确的大型网络抗震连通可靠度分析的概率解析算法———递推分解算法。以上述管网抗震可靠性分析理论为基础,分别发展了基于模拟退火算法的供水系统网络拓扑优化分析理论和基于遗传算法的供燃气网络系统拓扑优化理论。
In this paper,a leakage model is used to describe the damaged state of buried pipelines under an earthquake.Combining this model with the general hydraulic method,a new approach based on the first-order reliability method is derived to analyze the seismic capability reliability of a water distribution system.For a gas network,the recursive decomposition algorithm is proposed to analyze the seismic connectivity reliability.Based on the seismic capability reliability approach of the water distribution system,a method is developed to optimize the network topology using the simulated annealing algorithm.Combining with the recursive decomposition algorithm,the genetic algorithm is used to optimize the gas network topology.Two large-scale networks,water distribution system and gas network of Shenyang City are also investigated in detail.

引文

[1]李杰著.生命线工程抗震—基础理论与应用[M].北京:科学出版社,2005.
    [2]卫书麟.大型供水管网抗震可靠性分析与优化[D].上海:同济大学,2005.
    [3]何军,李杰.单一震源下生命线系统失效概率分析的新方法(一)———系统可靠路径与失效路径的识别[J].地震工程与工程振动,2003,23(3):53~59.
    [4]M etropolis N,Rosenb luth A,Rosenb luth M et al.Equation of state calcu lations by fast computing mach ines[J].Journal of Chem ical Physics,1953,21:1087~1092.
    [5]周荣敏,雷延峰.管网最优化理论与技术:遗传算法与神经网络[M].兰州:黄河水利出版社,2002.