Structural damage diagnosis based on on-line recursive stochastic subspace identification

Smart Materials and Structures

Volumn 20, Issue 5, 2011, Pages

  Loh, Chin Hsiung ^a   Weng, Jian Huang ^a   Liu, Yi Cheng ^a   Lin, Pei Yang ^b   Huang, Shieh Kung ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL CENTER FOR RESEARCH ON EARTHQUAKE ENGINEERING   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION TIME; CONTINUOUS MONITORING; DAMAGE FEATURES; DATA LENGTH; DATA SETS; DATA-DRIVEN; DYNAMIC CHARACTERISTICS; GIVENS ROTATION; HANKEL MATRIX; IDENTIFICATION ALGORITHMS; KALMAN ESTIMATOR; LQ DECOMPOSITION; MATRIX OPERATIONS; MOVING WINDOW; REAL-TIME SYSTEM IDENTIFICATION; REINFORCED CONCRETE FRAMES; RESIDUAL ERROR; RESPONSE DATA; STOCHASTIC SUBSPACE IDENTIFICATION; STRUCTURAL DAMAGE DIAGNOSIS; SYSTEM MATRICES; TEST DATA; TIME VARYING;

ALGORITHMS; ERROR STATISTICS; MATRIX ALGEBRA; MONITORING; REAL TIME SYSTEMS; REINFORCED CONCRETE; STOCHASTIC SYSTEMS; STRUCTURAL ANALYSIS; WHITE NOISE;

DAMAGE DETECTION;

EID: 79960620849     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/20/5/055004     Document Type: Article

References (19)

1. Kondo I and Hamamoto T 1996 Seismic damage detection of multi-story building using vibration monitoring Proc. 11th World Conf. on Earthquake Engineering (Acapulco, Mexico, June 1996) Paper No. 988
2. Safak E 1989 Adaptive modeling, identification, and control of dynamic structural systems. I: Theory J. Eng. Mech., ASCE 115 2386-405 (Pubitemid 21685897)
3. Safak E 1989 Adaptive modeling, identification, and control of dynamic structural systems. II: Application J. Eng. Mech., ASCE 115 2406-26 (Pubitemid 21685896)
4. Andersson P 1985 Adaptive forgetting in recursive identification through multiple models Int. J. Control 42 1175-93 (Pubitemid 15581712)
5. Loh C H and Lin H M 1996 Application of off line and on line identification techniques to building seismic response data Earthq. Eng. Struct. Dyn. 25 269-90
6. Fagin S L 1964 Recursive linear regression theory, optimal filter theory, and error analysis optimal system IEEE Int. Conv. Rec. 12 216-40
7. Xia Q, Rao M, Ying Y and Shen X 1994 Adaptive Fading Kalman filter with an application Automatica 30 1333-8 (Pubitemid 124008294)
8. Zhou D H and Frank P M 1996 Strong tracking filtering of nonlinear time-varying stochastic systems with colored noise: application to parameter estimation and empirical robustness analysis Int. J. Control 65 295-307 (Pubitemid 126519460)
9. Van Overschee P and De Moor B 1996 Subspace Identification For Linear Systems: Theory, Implementation and Applications (Dordrecht: Kluwer Academic)
10. Van Overschee Peter and De Moor B 1996 Subspace Identification for the Stochastic Identification Problem (Dordrecht: Kluwer Academic)
11. Peeters B and De Roeck G 1999 Reference-based stochastic subspace identification for output-only modal analysis Mech. Syst. Signal Process. 13 855-78 (Pubitemid 30515442)
12. Goethals I, Mevel L, Benveniste A and De Moor B 2004 Recursive output only subspace identification for in-flight flutter monitoring Proc. 22nd Int. Modal Analysis Conf. (IMAC XXII) (Dearborn, MI)
13. De Cock K, Mercre G and De Moor B 2006 Recursive subspace identification for in-flight modal analysis of airplanes ISMA 2006: Proc. Int. Conf. on Noise and Vibration Engineering (ISMA 2006) (Leven, Belgium, Sept.) pp1563-77
14. Ping L, Zhang N and Ni B 2008 On-line modal parameter monitoring of bridges exploiting multi-core capacity by recursive stochastic subspace identification method Proc. 2008 American Control Conf. (ACC' 08) (Seattle, WA, June) pp632-7
15. Chang C C and Li Z 2009 Recursive stochastic subspace identification for structural parameter estimation Proc. SPIE, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems vol 7292
16. Golub G H and Van Loan C F 1996 Matrix Computations (Baltimore, MD: John Hopkins University Press) chapter 5 pp206-307
17. Weng J H, Loh C H and Yang J N 2009 Experimental study of damage detection by data-driven subspace identification and finite element model updating J. Struct. Eng., ASCE 135 1533-44
18. Yan A-M, De Boe P and Golinval J-C 2004 Structural damage diagnosis by Kalman model based on stochastic subspace identification Struct. Health Monit. 3 103-19
19. Loh C H, Mau C H, Chao S H and Weng J H 2010 Feature extraction and system identification of reinforced concrete structures considering degrading hysteresis J. Struct. Control Health Monit. 17 712-29