TY - GEN
T1 - Application of grey relational analysis to structural damage identification
AU - Qian, Y. Y.
AU - Xue, S. T.
AU - Zheng, H. T.
AU - Xie, L. Y.
AU - Mita, A.
PY - 2003/12/1
Y1 - 2003/12/1
N2 - Development of health monitoring system has become an important task for structure damage identification. Since the building structure has many indeterminate factors, the method using modal analysis to identify the structure damage is off precision. In this paper a method applying the grey relational analysis to the structural damage identification is presented. The method uses only frequency measurement to establish the incidence order of grey relation between measured frequency and the frequency of possible damage, and to find out the optimum sequence, then by successive iteration to determine the degree and location of structure damage. Numerical simulations for frame structures are carried out, which consider 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 relational analysis based on the frequency change measurement.
AB - Development of health monitoring system has become an important task for structure damage identification. Since the building structure has many indeterminate factors, the method using modal analysis to identify the structure damage is off precision. In this paper a method applying the grey relational analysis to the structural damage identification is presented. The method uses only frequency measurement to establish the incidence order of grey relation between measured frequency and the frequency of possible damage, and to find out the optimum sequence, then by successive iteration to determine the degree and location of structure damage. Numerical simulations for frame structures are carried out, which consider 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 relational analysis based on the frequency change measurement.
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M3 - Conference contribution
AN - SCOPUS:84857759638
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 - 641
EP - 644
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 -