2005 Fiscal Year Final Research Report Summary
Construction of Computational System for Structural Damage Identification Analysis by Using Health Monitoring Data on Structure
| Project/Area Number |
15560499
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Building structures/materials
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| Research Institution | Nihon University |
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Principal Investigator |
TOSAKA Nobuyoshi Nihon University, College of Industrial Technology, Professor, 生産工学部, 教授 (00059776)
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| Project Period (FY) |
2003 – 2005
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| Keywords | Inverse Problem / Filtering Algorithm / Health Monitoring / Structural Damage / Truss Structure / Frame Structure / Large Floating Offshore Structure / Eigen Frequency |
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| Research Abstract |
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.
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