杆系拱桥随机地震响应及抗震可靠度分析  被引量:3

Random Seismic Response and Seismic Reliability Analysis of Arch Bridge

在线阅读下载全文

作  者:梅建松 袁涌[2] MEI Jiansong;YUAN Yong(Wuhan Tianxingzhou Road Bridge Investment Development Co.,Ltd.,Wuhan,Hubei 430011 China;School of Civil Engi neering and Mechanics,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China)

机构地区:[1]武汉天兴洲道桥投资开发有限公司,湖北武汉430011 [2]华中科技大学土木工程与力学学院,湖北武汉430074

出  处:《公路工程》2020年第4期131-135,共5页Highway Engineering

基  金:湖北省基金重点项目(2012FFA078)。

摘  要:拱桥因其造型美观,受力性能优越,自古以来被广泛应用,为分析杆系拱桥在非平稳随机激励作用下的响应及可靠度,针对某实际工程,利用MIDAS软件建立非线性有限元模型。采用概率密度演化方法(PDEM),以Kanai-Tajimi模型作为地震动功率谱,生成150条横向地震波样本,依次将其输入至有限元模型中,得到其随机响应,分析了结构位移响应的概率密度函数随时间演化规律,并针对结构的关键部位进行了动力可靠度分析,结果表明概率密度演化方法能够有效应用于杆系拱桥的随机非平稳地震响应分析及可靠度分析,该拱桥在设计地震下有一定概率进入屈服阶段,充分发挥材料的性能。Due to its beautiful appearance and superior performance, the arch bridge has been widely used since ancient times. To analyze the response and reliability of the arch bridge under non-stationary random excitation, a nonlinear finite element model is established by using MIDAS software for a practical project. Using the probability density evolution method(PDEM), the Kanai-Tajimi model is used as the ground motion power spectrum to generate 150 transverse seismic wave samples, which are input into the finite element model in turn, and the random response is obtained. The probability density of the structural displacement response is analyzed. The evolution of the function over time is carried out, and the dynamic reliability analysis is carried out for the key parts of the structure. The results show that the probability density evolution method can be effectively applied to the analysis of random non-stationary seismic response and reliability analysis of the arch bridge. The arch is designed in the earthquake. There is a certain probability to enter the yield stage and give full play to the performance of the material.

关 键 词:概率密度演化 动力可靠度 随机地震动 杆系拱桥 

分 类 号:U442.59[建筑科学—桥梁与隧道工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象