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A NEW DAMAGE DETECTION METHOD FOR BRIDGE CONDITION ASSESSMENT IN STRUCTURAL HEALTH MONITORING

结构健康监测中桥梁状况评估的新损伤检测方法

基本信息

批准号：
23656290
负责人：
MIYAMOTO Ayaho
金额：
$ 2.58万
依托单位：
Yamaguchi University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Challenging Exploratory Research
财政年份：
2011
资助国家：
日本
起止时间：
2011 至 2012
项目状态：
已结题

项目摘要

This study tried to challenge the establishment of a newly proposed “State Representation Methodology (SRM)” and its application to bridge condition assessment based on the bridge monitoring data. The SRM is a novel tool that can provide some ideas and algorithms for data mining in the bridge monitoring system. The state of a system such as bridge structure can be obtained by a state variable that calculate from a State Representation Equation (SRE). A Kernel function method which plays an important role in the Support Vector Machines (SVM) is applied to get solutions of the SRE. In the computation of the SRE, it needs to be changed into a Large-Scale Linear Constraint Problem (LSLCP). A new compatible algorithm is therefore proposed for solving technique of the LSLCP. Before using the SRM, it is necessary that the system features need to extract from the complex responses observed data in the system. Consequently, a new time-frequency analysis tool, called Frequency Slice Wavelet Transform (FSWT), will be able to powerfully reveal a change of the characteristics in vibration signal. The FSWT produces five new properties in contrast with the traditional wavelet transform. Therefore, the paper will show the new method that can be used widely in signal processing. In this paper, it will also be introduced a general theory for the non-parametric description of the infrastructure system’s state and will demonstrate how to apply the SRM to practical problems.

本研究试图挑战新提出的“状态表征法”（SRM）的建立及其在基于桥梁监测数据的桥梁状态评估中的应用。SRM是一种新颖的工具，可以为桥梁监测系统中的数据挖掘提供一些思路和算法。桥梁结构等系统的状态可以通过状态表示方程（SRE）计算得到状态变量。采用支持向量机（SVM）中重要的核函数方法求解SRE问题。在SRE的计算中，需要将其转化为大规模线性约束问题（LSLCP）。因此，提出了一种新的兼容算法来求解LSLCP问题。在使用SRM之前，有必要从系统中观察到的复杂响应数据中提取系统特征。因此，一种新的时频分析工具——频片小波变换（FSWT）将能够有力地揭示振动信号特征的变化。与传统的小波变换相比，FSWT产生了五个新的特性。因此，本文将展示一种可以广泛应用于信号处理的新方法。本文还将介绍基础设施系统状态非参数描述的一般理论，并将演示如何将SRM应用于实际问题。