A Study on the WPT-based Structural Damage Alarming of the ASCE Benchmark Experiments

Abstract

A workable realization procedure for damage alarming of frame structures is put forward based on energy variations of structural dynamic responses decomposed using wavelet packet transform in the paper. The WPT-based method consists of two steps: 1) calculation of the wavelet packet energy spectrum from the measured structural dynamic responses; 2) extraction of the damage alarming index ERVD from the wavelet packet energy spectrum, which is sensitive to structural local damage and insensitive to measurement noise. The ASCE benchmark experiments demonstrate the practicability of the damage alarming method for fame structures, which reveal that the WPT-based damage alarming index ERVD is a good candidate index that is sensitive to structural local damage affected by the actual measurement noise. Also, the experimental results reveal that the lower decomposition level and dominant frequency bands are sufficient for the detection of the damage occurrence using the index ERVD, which makes the proposed damage alarming procedure practical.

Keywords

structural damage alarming wavelet packet transform wavelet packet energy spectrum benchmark problem dynamic measurement signal process

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References

Bernal

Dyke

S. J.

Lam

H. F.

and Beck

J. L.

(2002). “Phase II of the ASCE benchmark study on SHM”, Proceedings of the 15th ASCE Engineering Mechanics Conference, New York, NY, June.

Ding

Y. L.

A. Q.

and Miao

C. Q.

(2005). “Theoretical research on structural damage alarming of long-span bridges using wavelet packet analysis”, Journal of Southeast University (English Edition), Vol. 21, No. 4, pp. 459–462.

Ding

Y. L.

and Li

A. Q.

(2006). “Structural damage early warning based on vibration testing and wavelet packet transform”, Lixue Xuebao, Vol. 38, No. 5, pp. 639–644. (in Chinese).

Ding

Y. L.

A. Q.

and Miao

C. Q.

(2006). “Investigation on the structural damage alarming method based on wavelet packet energy spectrum”, Engineering Mechanics, Vol. 23, No. 8, pp. 42–48. (in Chinese).

Doebling

S. W.

Farrar

C. R.

and Prim

M. B.

(1998). “A summary review of vibration-based damage identification methods”, Shock and Vibration Digest, Vol. 30, No. 2, pp. 91–105.

Dyke

S. J.

Bernal

Beck

and Ventura

(2003). “Experimental phase II of the structural health monitoring benchmark problem”, Proceedings of the 16th ASCE Engineering Mechanics Conference, Seattle, WA, July.

Farrar

C. R.

Doebling

S. W.

and Nix

D. A.

(2001). “Vibration-based structural damage identification”, Philosophical Transactions of the Royal Society: Mathematical, Physical & Engineering Sciences, Vol. 359, No. 1778, pp. 131–149.

Han

J. G.

Ren

W. X.

and Sun

Z. S.

(2005). “Wavelet packet based damage identification of beam structures”, International Journal of Solids and Structures, Vol. 42, No. 26, pp. 6610–6627.

Hsieh

K. H.

Halling

M. W.

and Barr

P. J.

(2006). “Overview of vibrational structural health monitoring with representative case studies”, Journal of Bridge Engineering, ASCE, Vol. 11, No. 6, pp. 707–715.

10.

Kim

and Melhem

(2004). “Damage detection of structures by wavelet analysis”, Engineering Structures, Vol. 26, No.3, pp. 347–362.

11.

Sun

and Chang

C. C.

(2002). “Structural damage assessment based on wavelet packet transform”, Journal of Structural Engineering, ASCE, Vol. 128, No. 10, pp. 1354–1361.

12.

Sun

and Chang

C. C.

(2004). “Statistical wavelet-based method for structural health monitoring”, Journal of Structural Engineering, ASCE, Vol. 130, No. 7, pp. 1055–1062.