2005
DOI: 10.1631/jzus.2005.a0790
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Structural damage identification using test static data based on grey system theory

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Cited by 38 publications
(24 citation statements)
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“…The next issue is that modal data for some stiff civil structures are difficult to be measured accurately, especially for high-order modes. In view of this, the static detection algorithms [25][26][27][28][29][30][31][32][33][34] also attracted much attention in civil engineering area in recent years due to their simplicity for implementation. However, most of these methods need a detailed finite element model (FEM) or the baseline parameters of the intact system.…”
Section: Introductionmentioning
confidence: 99%
“…The next issue is that modal data for some stiff civil structures are difficult to be measured accurately, especially for high-order modes. In view of this, the static detection algorithms [25][26][27][28][29][30][31][32][33][34] also attracted much attention in civil engineering area in recent years due to their simplicity for implementation. However, most of these methods need a detailed finite element model (FEM) or the baseline parameters of the intact system.…”
Section: Introductionmentioning
confidence: 99%
“…This method created an objective function by using the error in the measured displacements of the actual structure and that of a mathematical model of the structure. Chen et al [10] developed a structural damage detection method by using a limited test static displacement method based on grey system theory. The grey relation coefficient of displacement curvature was defined and used to locate damage in a structure.…”
Section: Introductionmentioning
confidence: 99%
“…The basic principle of vibrationbased methods is that the changes in the physical properties of the structure will alter the dynamic characteristics of the structure, such as natural frequencies, modal damping, and mode shapes. Hence, changes in these parameters or in their combinations may be considered for localization and quantification, which are important components of damage detection [4][5][6].…”
Section: Introductionmentioning
confidence: 99%