新型无监督聚类算法监测与评估桥梁结构健康状况OA
A Novel Unsupervised Clustering Algorithm for Monitoring and Evaluating Bridge Structural Health
近年来,因车辆超载、结构设计缺陷、施工质量问题等原因导致的城市高架桥梁倒塌事故时有发生.因此,首次提出了一种可实时监测高架桥梁运行状况、通过改进K-means聚类算法实现对结构损伤实时检测、对数据驱动结构损伤进行检测的高效方法.该方法主要是对钢结构桥梁模型在结构完好状态下的振动数据进行采集,然后通过深度研究从这些数据中提取有效的结构损伤敏感特征值,最后利用改进的无监督聚类算法训练奇异值检测模型.试验结果表明,采用桥梁结构完好状况下的损伤敏感特征值…查看全部>>
In recent years,accidents of urban elevated bridge collapse have occurred frequently due to vehicle over-loading,structural design defects,construction quality issues and other problems.Therefore,an efficient method has been proposed that can monitor the operation status of elevated bridges in real time,conduct real-time detection of structural damage by improved K-means clustering algorithm,and detect data-driven structural damage for the first time.This me…查看全部>>
王子龙
苏州市建设工程质量检测中心有限公司,江苏苏州 215000
交通运输
桥梁结构损伤检测数据驱动K-means算法损伤敏感特征无监督聚类
bridgestructural damage detectiondata-drivenK-means algorithmdamage sensitive featureun-supervised clustering
《市政技术》 2024 (1)
68-72,5
江苏省建设系统科技项目(2018ZD012):基于健康监测技术的市政桥梁综合状况评估研究
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