TITLE:
Damage Detection Method Using Support Vector Machine and First Three Natural Frequencies for Shear Structures
AUTHORS:
Hien HoThu, Akira Mita
KEYWORDS:
Support Vector Machine; Damage Detection; Natural Frequency; System Identification; Damage Location Indicator
JOURNAL NAME:
Open Journal of Civil Engineering,
Vol.3 No.2,
June
4,
2013
ABSTRACT:
A method is proposed for detecting damage to shear structures by using Support
Vector Machine (SVM) and only the first three natural frequencies of the translational
modes. This method is able to determine the damage location in any story of a
shear building with only two vibration sensors; to obtain modal frequencies, one sensor on the
ground detects an input and the other on the roof detects the output. Based on the
shifts in the first three natural frequencies, damage location indicators are
proposed, and used as new feature vectors for SVM. Simulations of five-story,
nine-story and twenty-one-story shear structures and experiments on a five-story
steel model were used to test the performance of the proposed method.