Structural Damage Detection Based on Ridge Estimation Method

Article Preview

Abstract:

In order to identify structural damage locations and extent, a method based on ridge estimation and modal strain energy is presented in this paper. First, structural modal strain energy is given and a modal strain energy sensitivity damage equation is obtained. Then, considering the TikhonovTT regularization theoryTT, a ridge estimation method is proposed to solve the damage equation and ridge parameter of the method is optimized. Simulation results demonstrate that the proposed damage detection method based on ridge estimation and modal strain energy can identify structural damage locations and extent with good accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1028-1031

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] O S Salawu. Detection of structural damage through changes in frequencies: a review[J]. Engineering Structures, Vol. 19(1997) pp.718-723.

DOI: 10.1016/s0141-0296(96)00149-6

Google Scholar

[2] S H Petro, S H E Gangarao, S Venkatappa. Damage detection using vibration measurement. Proceeding of International Modal Analysis Conference, Orlando, FL, (1997) pp.113-119.

Google Scholar

[3] S. G Venkatappa. Damage Detection using Vibration Measurement. Master of Science Thesis, West Virginia University, (1997).

Google Scholar

[4] H Hu, C Wu. Development of scanning damage index for the damage detection of plate structures using modal strain energy method. Mechanical Systems and Signal Processing, Vol. 23(2009) pp.274-287.

DOI: 10.1016/j.ymssp.2008.05.001

Google Scholar

[5] W J Yan. Element modal strain energy sensitivity and its application to structural damage identification. Changsha: Central South University, (2008) pp.38-45.

Google Scholar

[6] H C Hu. Ridge estimation of a semi-parametric regression mode. Journal of Computational and Applied Mathematics, Vol. 176(2005) pp.215-222.

Google Scholar