TY - GEN
T1 - Application of grey control system model to structural damage identification
AU - Xie, L. Y.
AU - Xue, S. T.
AU - Qian, Y. Y.
AU - Zheng, H. T.
AU - Mita, A.
PY - 2003/12/1
Y1 - 2003/12/1
N2 - Development of health monitoring system of construction becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification is presented. The grey system of the frequency variance rate and the stiffness change is established with the first-order single argument grey system (GM(1,1)). GM(1,1) prediction is used to reflect the global function of the structural dynamic fingerprints and find out the relation of the frequency variance rate and the stiffness change. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring the frequency change.
AB - Development of health monitoring system of construction becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification is presented. The grey system of the frequency variance rate and the stiffness change is established with the first-order single argument grey system (GM(1,1)). GM(1,1) prediction is used to reflect the global function of the structural dynamic fingerprints and find out the relation of the frequency variance rate and the stiffness change. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring the frequency change.
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M3 - Conference contribution
AN - SCOPUS:84857704047
SN - 9058096483
SN - 9789058096487
T3 - Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure
SP - 629
EP - 633
BT - Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure
T2 - 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, SHMII-1'2003
Y2 - 13 November 2003 through 15 November 2003
ER -