TECHNICAL PAPERS
Oct 15, 2004

Structural Damage Detection Using Empirical Mode Decomposition: Experimental Investigation

Publication: Journal of Engineering Mechanics
Volume 130, Issue 11

Abstract

This paper presents an experimental investigation on the applicability of the empirical mode decomposition (EMD) for identifying structural damage caused by a sudden change of structural stiffness. A three-story shear building model was constructed and installed on a shaking table with two springs horizontally connected to the first floor of the building to provide additional structural stiffness. Structural damage was simulated by suddenly releasing two pretensioned springs either simultaneously or successively. Various damage severities were produced using springs of different stiffness. A series of free vibration, random vibration, and earthquake simulation tests were performed on the building with sudden stiffness changes. Dynamic responses including floor accelerations and displacements, column strains, and spring releasing time instants were measured. The EMD was then applied to measured time histories to identify damage time instant and damage location for various test cases. The comparison of identified results with measured ones showed that damage time instants could be accurately detected in terms of damage spikes extracted directly from the measurement data by EMD. The damage location could be determined by the spatial distribution of the spikes along the building. The influence of damage severity, sampling frequency, and measured quantities on the performance of EMD for damage detection was also discussed.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Dowbling, S. W., Farrar, C. R., and Prime, M. B. (1998). “A summary review of vibration-based damage identification methods.” Shock Vib. Dig., 30(2), 91–105.
2.
Hou, Z., and Noori, M. ( 1999). “Application of wavelet analysis for structural health monitoring.” Proc., 2nd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, Calif., 946–955.
3.
Hou, Z., Noori, M., and Amand, R. St. (2000). “Wavelet-based approach for structural damage detection.” J. Eng. Mech., 126(7), 677–683.
4.
Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., and Shih, H. H. (1998). “The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis.” Proc., R. Soc. London, Ser. A, 454, 903–995.
5.
Huang, N. E., Shen, Z., and Long, S. R. (1999). “A new view of nonlinear water wave: The Hilbert spectrum.” Annu. Rev. Fluid Mech., 31, 417–457.
6.
Sun, Z, and Chang, C. C. (2002). “Structural damage assessment based on wavelet packet transform.” J. Struct. Eng., 128(10), 1354–1361.
7.
Vincent, B., Hu, J., and Hou, Z. ( 1999). “Damage detection using empirical mode decomposition and a comparison with wavelet analysis.” Proc., 2nd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, Calif., 891–900.
8.
Yang, J.N., Lei, Y., and Huang, N.E. ( 2001). “Damage identification of civil engineering structures using Hilbert–Huang transform.” Proc., 3rd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, Calif., 544–553.

Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 130Issue 11November 2004
Pages: 1279 - 1288

History

Published online: Oct 15, 2004
Published in print: Nov 2004

Permissions

Request permissions for this article.

Authors

Affiliations

Y. L. Xu, M.ASCE
Chair Professor, Dept. of Civil and Structural Engineering, The Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong. E-mail: [email protected]
J. Chen
Research Associate, Dept. of Civil and Structural Engineering, The Hong Kong Polytechnic Univ. Hung Hom, Kowloon, Hong Kong.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share