检测大数据在组合箱梁桥病害分析中的应用

Disease Analysis of Composite Box Girder Bridge Based on Detecting Big Data

为研究高速公路组合箱梁桥关键病害特征及其与外界因素的关联性,本文根据江苏省4000多公里十年的检测大数据,分析组合箱梁桥病害典型特征,定量描述了各类病害;基于典型相关分析理论,结合多种类型病害及外界因素,挖掘出外界因素与组合箱梁主要病害的定量相关性。

The characteristics of bridge diseases and related factors have a great impact on the long-term safe operation and maintenance and repair programs of bridges.In order to study the key disease characteristics of highway combined box girder bridge and its correlation with external factors,systematic statistical bridge detection multi-dimensional multisource data,analysis of typical characteristics of composite box girder bridge disease,and demonstrate that the main disease of composite box girder bridge is beam Body cracks;Based on the typical correlation analysis theory,combined with various types of diseases and external factors,the quantitative correlation between external factors and the main diseases of the combined box girder was excavated.