摘要
为实现桥梁风险评估的快速评估决策和最小风险指标的求解,以平益高速南阳湘江特大桥为研究对象,建立了基于分权阈值的风险评估求解模型,使用径向对称解析的反距离褶积神经网络联合改进遗传算法对风险层次指标进行了求解,得到了最小风险指标,其最小值为0.1952。
In order to realize the rapid assessment decision of bridge risk assessment and the solution of the minimum risk index,taking Nanyang Xiangjiang River Bridge on Pingyi Expressway as the research object,a risk assessment solution model based on the decentralized threshold value was established.The risk level index was solved using the radial symmetric analytic antidistance convolution neural network combined with the improved genetic algorithm,and the minimum risk index was obtained,which was 0.1952.
作者
罗京
Luo Jing(Shanghai Urban Construction Municipal Engineering(Group)Co.,Ltd.,Shanghai 201900,China)
出处
《山西建筑》
2022年第24期164-167,共4页
Shanxi Architecture
关键词
桥梁风险评估
分权阈值
反距离褶积神经网络
遗传算法
bridge risk assessment
weighted threshold
distance deconvolution neural network
genetic algorithm