首页|基于改进PSO-SVM法的斜拉桥可靠度分析

基于改进PSO-SVM法的斜拉桥可靠度分析

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对于斜拉桥结构体系复杂、结构功能函数难以显现等问题导致实际应用中往往难以准确、高效地评估斜拉桥的可靠性,本文提出了基于改进PSO-SVM(particle swarm optimization-support vector machine)的可靠度分析方法.该方法通过引入非线性递减惯性权值和异步线性变化的学习因子2种策略的粒子群算法,其目的在于提高全局的搜索能力并对支持向量机参数进行优化,从而得到挠度钢混组合梁跨中位移超限失效和单根斜拉索强度失效的隐式功能函数代理模型,结合Monte-Carlo对其抽样获取概率分布及统计参数,并进一步求解可靠度指标.通过算例比较,该方法在整体计算时长和精度方面表现出较好的效果,相比于传统方法有明显的优势.采用该方法对银洲湖大桥进行可靠度分析,结果显示:在汽车荷载作用下,主梁跨中位移超限失效的斜拉桥可靠度指标为4.203,各个斜拉索强度失效的可靠度指标为4.623~5.812,均满足规范要求;斜拉索的弹性模量和容重分别对跨中位移超限失效和斜拉索强度失效的斜拉桥可靠度指标影响最大,并且它们的变量均值与可靠度指标基本呈线性正相关.主梁跨中位移超限失效的斜拉桥可靠度指标随着斜拉索弹性模量均值系数的增大而降低、斜拉索41#强度失效的斜拉桥可靠度指标随着斜拉索容重均值系数的增大而下降.
Reliability Analysis of Cable-stayed Bridge Based on Improved PSO-SVM Method
The complexity of the structural system of cable-stayed bridges and the difficulty of revealing the structural function,which leads to the difficulty of accurately and efficiently evaluating the reliability of cable-stayed bridges in practical applications,necessitates the development of a reliability analysis method based on the improved PSO-SVM(particle swarm optimization-support vector machine).The objective of this method is to enhance the global search capability and optimize the support vector machine parameters in order to obtain implicit functional function agent models of the overdisplacement failure in the span of deflection steel-hybrid composite beams and the strength failure of a single diagonal cable,this is achieved by introducing particle swarm algorithms with two strategies of nonlinear decreasing inertia weights and asynchronous linearly varying learning factors,Monte-Carlo sampling is employed to obtain the probability distribution and statistical parameters,which are then utilized to solve the reliability index.By comparing the arithmetic examples,the method shows better results in terms of overall computation time and accuracy,and has obvious advantages over traditional methods.The reliability analysis of Yinzhou Lake Bridge was conducted using this method,and the results showed that under the action of vehicle load,the reliability index of the cable-stayed bridge with excessive displacement failure at the mid span of the main beam was 4.203,and the reliability index of each cable strength failure was 4.623-5.812,all of which meet the requirements of the specifications.The elastic modulus of cable-stayed cables and the capacity weight of cable-stayed cables have the greatest influence on the reliability index of cable-stayed bridges,and the mean values of their variables are basically linearly positively correlated with the reliability index.The reliability index of cable-stayed bridges with mid-span displacement failure decreases with the increase of the mean coefficient of elastic modulus of the cable-stayed cables,and the reliability index of cable-stayed bridges with strength failure of the cable-stayed cables 41#decreases with the increase of the mean coefficient of the cable-stayed cable-stayed weight.

cable-stayed bridgesupport vector machineparticle swarm algorithmreliability indexparameter sensitivities

张玉平、唐鑫、魏超

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长沙理工大学 土木工程学院,长沙 410114

中交路桥华南公司,广州 中山 528400

斜拉桥 支持向量机 粒子群算法 可靠度指标 参数敏感性

国家重点发展研究计划发展计划(973)项目国家自然科学基金项目

2015CB05770052078059

2024

科技通报
浙江省科学技术协会

科技通报

CSTPCDCHSSCD
影响因子:0.457
ISSN:1001-7119
年,卷(期):2024.40(10)