| 引用本文: | 宗成才,冀昆,毕熙荣,任叶飞,张晓瑞,温瑞智.衔接GMPE的城市燃气管网连通易损性分析[J].哈尔滨工业大学学报,2021,53(6):184.DOI:10.11918/201912161 |
| ZONG Chengcai,JI Kun,BI Xirong,REN Yefei,ZHANG Xiaorui,WEN Ruizhi.Seismic connectivity fragility analysis for urban gas network using GMPE[J].Journal of Harbin Institute of Technology,2021,53(6):184.DOI:10.11918/201912161 |
|
| |
|
|
| 本文已被：浏览 1013次 下载 749次 |
码上扫一扫！ |
|
|
| 衔接GMPE的城市燃气管网连通易损性分析 |
|
宗成才1,2,冀昆1,2,毕熙荣1,2,任叶飞1,2,张晓瑞3,温瑞智1,2
|
|
(1.中国地震局工程力学研究所,哈尔滨 150080; 2.中国地震局地震工程与工程振动重点实验室(中国地震局工程力学研究所),哈尔滨 150080; 3.北京市煤气热力工程设计院有限公司,北京 100032)
|
|
| 摘要: |
| 为合理评估城市燃气管网在不同地震动强度下的连通性,以地震动预测方程（GMPE）为输入依据,通过蒙特卡罗模拟方法给出了考虑地震动不确定性的城市燃气管网连通易损性计算方法. 首先, 在某设定震级下,基于地震动预测方程（GMPE）确定燃气管网各点的输入地震动强度指标（峰值加速度Pga和峰值速度Pgv）,同时采用正态分布抽样来模拟随机误差变量的分布以体现不确定性. 然后, 利用蒙特卡罗模拟方法确定燃气管网系统各单元失效概率,再通过震后的管网中未通气的节点数量比例来定义连通性的损失指标. 最后, 计算得到多个设定震级下损失指标的超越概率和连通易损性曲线. 本研究基于该流程以中国华北某城市燃气管网作为实例进行连通易损性分析,同时针对地震动预测方程中不确定性的影响进行了对比研究. 计算结果表明, 该市燃气管网在考虑地震动不确定性时的震后各个破坏状态对应的震级均值比不考虑时小接近0.5级,且在不同震级下连通性能超过某破坏状态的概率也偏大. 本研究所建议的连通易损性分析流程可以为城市评估整体燃气管网的概率地震风险提供参考,同时较好考虑了地震动的区域差异性和不确定性. |
| 关键词: 地震动预测方程 燃气管网 连通易损性 蒙特卡罗模拟 地震风险评估 |
| DOI：10.11918/201912161 |
| 分类号:P315.9 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(8,9);中国地震局工程力学研究所所长基金(2019B09);黑龙江省国家科技重大专项和重点研发项目省级资金资助(GX18C011);山东省高校土木结构防灾减灾协同创新中心基金资助(XTZ201901) |
|
| Seismic connectivity fragility analysis for urban gas network using GMPE |
|
ZONG Chengcai1,2,JI Kun1,2,BI Xirong1,2,REN Yefei1,2,ZHANG Xiaorui3,WEN Ruizhi1,2
|
|
(1.Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China; 2.Key Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake Administration (Institute of Engineering Mechanics, China Earthquake Administration), Harbin 150080, China; 3.Beijing Gas and Heating Engineering Design Institute Co., Ltd., Beijing 100032, China)
|
| Abstract: |
| To comprehensively evaluate the connectivity of urban gas network under different ground motion intensities, the method of seismic connectivity fragility analysis was proposed based on Monte Carlo simulation which uses the ground motion prediction equation (GMPE) as input. Firstly, the input ground motion intensity measurements (Pga and Pgv) of each site of the gas network were determined based on GMPE conditioned on a given target magnitude. The distribution of random residual was simulated by normal distribution sampling to represent the uncertainty of the ground motion. Then, the Monte Carlo simulation was used to determine the failure probability of each element in the gas network system, and the loss index of connectivity was determined by the number of blocked nodes in the gas network after the earthquake. Finally, the seismic connectivity fragility curves of the gas network were obtained by calculating the loss index exceedance probability at different magnitudes. The gas network of a city in North China was taken as an example to evaluate its seismic connectivity fragility performance based on the proposed method, and the influence of uncertainty in GMPE was compared and analyzed. Calculation results show that the mean value of magnitude corresponding to each failure state of the gas network was 0.5 smaller when the uncertainty of ground motion was taken into account. Larger connectivity failure exceedance probability could also be observed at different magnitudes. The seismic connectivity fragility analysis method proposed in this study could provide constructive strategy for urban cities to evaluate the probability seismic risk of the whole gas network, and comprehensively take into account the seismic regional differences and uncertainties of ground motion. |
| Key words: ground motion prediction equation (GMPE) gas network connectivity fragility Monte Carlo simulation seismic risk assessment 〖FQ(+28mm。48,ZX－W〗收稿日期: 2019-12-31 基金项目: 国家自然科学基金（8,9） 中国地震局工程力学研究所所长基金（2019B09） 黑龙江省国家科技重大专项和重点研发项目省级资金资助(GX18C011) 山东省高校土木结构防灾减灾协同创新中心基金资助(XTZ201901)作者简介: 宗成才(1996—),男,硕士研究生 温瑞智(1968—),男,研究员,博士生导师通信作者: 温瑞智,ruizhi@iem.ac.cn |
|
|
|
|
