首页|基于数据驱动的斜拉桥健康状态评估方法

基于数据驱动的斜拉桥健康状态评估方法

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为监测运营期间桥梁结构安全性能,提出了一种结合数据驱动和有限元模型评估斜拉桥健康状态的方法.该方法以群索索力为媒介,利用实测数据修正有限元模型,借助蒙特卡洛模拟方法丰富桥梁群索索力负样本,最后通过相异测度量度评估斜拉桥实时状态.本文以国内某混凝土独塔斜拉桥为工程背景,对该方法进行了论述.结果表明,该方法兼顾了有限元模型中整体结构内各构件的响应协调关系和监测数据中结构的真实变化规律,可快速、定量地评估斜拉桥健康状态,为桥梁管养决策提供依据.
A Data-Driven Health Assessment Method for Cable-Ctayed Bridges
In order to monitor the safety performance of the bridge structure during operation,this study proposed a method combining data-driven and finite element model to assess the health of the cable-stayed bridge The method used the cable group force as a medium,used modifying the finite element model with the measured data,and enriching the negative sample of the bridge group cable force the Monte Carlo simulation method.Finally,the real-time status of the cable-stayed bridge through the difference measurement was evaluated.The method was discussed based on a domestic concrete single-tower cable-stayed bridge as the engineering background in this article.The results showed that the method takes into account the coordinated response of each component within the overall structure in the finite element model and the real change law of the structure in the monitoring data.It can quickly and quantitatively evaluate the health status of cable-stayed bridges,providing a basis for bridge maintenance decision-making.

data-drivenfinite element modelgroup cable forceMonte-Carlo simulation methodhealth status

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广东交科检测有限公司,广东 广州 510550

数据驱动 有限元模型 群索索力 蒙特卡洛模拟方法 健康状态

2024

广东公路交通
广东省交通科技有限公司

广东公路交通

影响因子:0.311
ISSN:1671-7619
年,卷(期):2024.50(6)