Construction of Computational System for Structural Damage Identification Analysis by Using Health Monitoring Data on Structure

利用结构健康监测数据进行结构损伤识别分析计算系统的构建

• 批准号: 15560499
• 负责人: TOSAKA Nobuyoshi
• 金额: $ 2.3万
• 依托单位: Nihon University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2005
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15560499/
• 关键词: Inverse Problem; Filtering Algorithm; Health Monitoring; Structural Damage; Truss Structure; Frame Structure; Large Floating Offshore Structure; Eigen Frequency; フィルタリングアルゴリズム; 構造損傷同定; 可変的フィルタリング; 5層フレームモデル; 塔状トラスモデル; ブレースモデル; 損傷同定解析; ヘルスモニ

The efficient computational system of structural damage identification analysis for several models of the structure was established with filtering theory of stochastic dynamic system in a frame work of the inverse problem. In our computational system, three kinds of filtering algorithms based on the Wiener filter, the projection filter and the parametric projection filter were employed to identify some state of damage in member of the structure.Not only the grade but also the position of the member subjected to some damage is identified by our computational procedure with use of monitoring data given by numerical computation or field experiment on eigen-frequencies of the damaged structure. Five-story frame structure (with and without the brace), truss structure (planar and spatial tower-type truss) and large scaled floating offshore structure were adopted as our structural model in order to verify applicability and efficiency of our established computational system.The notable characteristics of each filtering algorithm in applying structural damage identification analysis were made clear through several numerical simulation and experimental performances.

在反问题的框架工作中，通过过滤随机动态系统的过滤理论建立了几种结构模型的结构损伤识别分析的有效计算系统。 In our computational system, three kinds of filtering algorithms based on the Wiener filter, the projection filter and the parametric projection filter were employed to identify some state of damage in member of the structure.Not only the grade but also the position of the member subjected to some damage is identified by our computational procedure with use of monitoring data given by numerical computation or field experiment on eigen-frequencies of the damaged structure.采用了五层框架结构（带有和没有支撑），桁架结构（平面和空间塔式的桁架）和大型浮动越野岛结构作为我们的结构模型，以验证我们已建立的计算系统的适用性和效率。在应用结构损坏识别分析中，通过几个数字进行了仿制和实验，并确定了每个过滤算法的显着特征。

项目成果

Structural Identification Analysis of Braced Frames Based on Experimental Data

基于实验数据的支撑框架结构辨识分析

• 发表时间: 2006
• 期刊: Journal of Structural Engineering Vol.52B
• 作者: S.Shiota;R.Endo;N.Tosaka
• 通讯作者: N.Tosaka

Structural Damage Analysis of Frame Structure Model using Filtering Algorithms

使用过滤算法的框架结构模型结构损伤分析

• 发表时间: 2004
• 期刊: Proceedings of The Seventh International Conference on Computational Structures Technology
• 作者: Ryuji ENDO;Nobuyoshi TOSAKA
• 通讯作者: Nobuyoshi TOSAKA

構造損傷同定に用いるフィルタリングアルゴリズムの特性について

用于结构损伤识别的滤波算法的特点

• 发表时间: 2003
• 期刊: 計算数理工学論文集(日本計算数理工学会) 第3巻
• 作者: 遠藤龍司;川上善嗣;登坂宣好
• 通讯作者: 登坂宣好

フィルタ理論に基づくフレーム構造物の損傷同定解析

基于滤波理论的框架结构损伤识别分析

• 发表时间: 2006
• 期刊: 日本建築学会構造系論文集 第605号 (掲載決定)
• 作者: 塩田寿美子;遠藤龍司;登坂宣好
• 通讯作者: 登坂宣好

フィルタ理論を用いた塔状トラスの構造損傷同定

基于滤波理论的塔架结构损伤识别

• 发表时间: 2004
• 期刊: 応用力学論文集(土木学会) Vol.7
• 作者: 登坂宣好;遠藤龍司;武藤俊広
• 通讯作者: 武藤俊広