A novel health assessment technique with minimum information

Structural Control and Health Monitoring

Volumn 15, Issue 6, 2008, Pages 821-838

  Katkhuda, Kasan ^a,b   Haldar, Achintya ^b  

^a HASHEMITE UNIVERSITY   (Jordan)

^b University of Arizona   (United States)

Author keywords

Damage assessment; Finite elements; Kalman filter; Structural health assessment; System identification under uncertainty

Indexed keywords

CELLULAR RADIO SYSTEMS; CONTROL THEORY; DYNAMIC RESPONSE; EXTENDED KALMAN FILTERS; FUNCTIONS; HEALTH; INDEXING (OF INFORMATION); KALMAN FILTERS; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; UNCERTAINTY ANALYSIS; WAVE FILTERS;

DAMAGE ASSESSMENT; DEFECT FREE; DYNAMIC FORCES; ELEMENT LEVELS; FINITE ELEMENTS; HEALTH ASSESSMENTS; INITIAL STATE VECTORS; LINEAR TIMES; MINIMUM INFORMATIONS; NOVEL METHODS; RESEARCH TEAMS; RESPONSE MEASUREMENTS; SOURCES OF UNCERTAINTIES; STRUCTURAL HEALTH ASSESSMENT; SUB STRUCTURES; SYSTEM IDENTIFICATION PROCEDURES; SYSTEM IDENTIFICATION UNDER UNCERTAINTY; UNIVERSITY OF ARIZONA; UNKNOWN INPUTS;

DAMAGE DETECTION;

EID: 55349126080     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.221     Document Type: Article

References (56)

1. Doebling S, Farrar C, Prime M, Shevitz D. Damage identification and health monitoring of structural and mechanical systems from changes in their variation characteristics: a literature review. Report No. LA-13070-MS, Los Alamos National Laboratory, 1996.
2. Housner G, Bergman L, Caughey T, Chassiakos A, Claus R, Masri S, Skelton R, Soong T, Spencer B, Yao J. Structural control: past, present and future. Journal of Engineering Mechanics (ASCE) 1997; 123(9): 897-971.
3. Maybeck P. Stochastic Models, Estimation, and Control, chapter 1. Academic Press: London, U.K., 1979.
4. Alampalli S, Fu G. Signal versus noise in damage detection by experimental modal analysis. Journal of Structural Engineering (ASCE) 1997; 123(2):237-245.
5. Barroso L, Rodriguez R. Damage detection utilizing the damage index method to a benchmark structure. Journal of Engineering Mechanics (ASCE) 2004; 130(2):142-151.
6. Beck J, Yuen K. Model selection using response measurements: Bayesian probabilistic approach. Journal of Engineering Mechanics (ASCE) 2004; 130(2):192-203.
7. Lam HF, Katafygiotis S, Mickleborough NC. Application of a statistical model updating approach on phase I of the IASC-ASCE structural health monitoring benchmark study. Journal of Engineering Mechanics (ASCE) 2004; 130(1):34-48.
8. Law SS, Shi YZ. Zhang LM. Structural damage detection from incomplete and noisy modal test data. Journal of Engineering Mechanics (ASCE) 1998; 124(11):1280-1288.
9. Shi ZY, Law SS, Zhang LM. Improved damage quantification from elemental modal strain energy change. Journal of Engineering Mechanics (ASCE) 2002; 128(5):521-529.
10. Yuen KV, Au SK, Beck J. Two-stage structural health monitoring approach for phase I benchmark studies. Journal of Engineering Mechanics (ASCE) 2004; 130(1): 16-33.
11. Vestroni F, Capecchi D. Damage detection in beam structures based on frequency measurements. Journal of Engineering Mechanics (ASCE) 2000; 126(7):761-768.
12. Ibanez P. Identification of dynamic parameters of linear and nonlinear structural models from experimental data. Nuclear Engineering Design 1973; 25(1):30-41.
13. McCann D, Jones NP, Ellis JH. Toward consideration of the value of information in structural performance assessment. Structural Engineers World Congress, San Francisco, California, 1998; Paper No. T216-6 (CD-ROM).
14. Wang D, Haldar A. An element level SI with unknown input information. Journal of the Engineering Mechanics Division (ASCE) 1994; 120(1): 159-176.
15. Wang D, Haldar A. System identification with limited observations and without input. Journal of Engineering Mechanics (ASCE)1997; 123(5):504-511.
16. Lin JW, Betti R, Smyth AW, Longman RW. On-line identification of nonlinear hysteretic structural systems using a variable trace approach. Earthquake Engineering & Structural Dynamics 2001; 30(9): 1279-1303.
17. Loh C, Lin CY, Huang CC. Time domain identification of frames under earthquake loadings. Journal of Engineering Mechanics (ASCE) 2000; 126(7):693-703.
18. Yang JN, Lin S. Identification of parametric variations of structures based on least squares estimation and adaptive tracking technique. Journal of Engineering Mechanics (ASCE) 2005; 131:290-298.
19. Hoshiya M, Saito E. Structural identification by extended Kalman filter. Journal of Engineering Mechanics (ASCE) 1984; 110(12):1757-1770.
20. Sato T, Honda R, Sakanoue T. Application of adaptive Kalman filter to identify a five story frame structure using NCREE experimental data. Proceedings of ICOSSAR, New Port Beach, California, 2001 (CD-ROM).
21. Yang JN, Lin SL, Huang HW, Zhou L. An adaptive extended Kalman filter for structural damage identification. Structural Control and Health Monitoring 2006; 13(4):849-867.
22. Yang JN, Pan S, Huang H. An adaptive extended Kalman filter for structural damage identifications II: unknown inputs. Structural Control and Health Monitoring 2007; 14(3):497-521.
23. ∞ filter: its application to structural identification. Journal of Engineering Mechanics (ASCE) 1998; 124(11): 1233-1240.
24. Yoshida I. Damage detection using Monte Carlo filter based on non-Gaussian noise. Proceedings of ICOSSAR, New Port Beach, California, 2001 (CD-ROM).
25. Hoshiya M, Maruyama O. Identification of running load and beam system. Journal of Engineering Mechanics (ASCE) 1987; 113(4): 813-824.
26. Safak E. Adaptive modelling, identification and control of dynamic structural systems I: theory. Journal of Engineering Mechanics (ASCE) 1989; 115(11):2386-2405.
27. Bedewi NE. The mathematical foundation of the auto and cross random decrement techniques and the development of a system identification technique for the detection of structural deterioration. Ph.D. Thesis, The University of Maryland, 1986.
28. Hac A. Spanos PD. Time domain method for parameter system identification. Journal of Vibration and Acoustics 1990; 112:281-287.
29. Kung DN, Yang JCS, Bedewi NE, Tsai WH. Time domain system identification technique based on impulsive loading for damage detection. Proceedings of 8th International Symposium on Offshore Mechanics and Arctic Engineering, The Hague, The Netherlands, 1989; 307-317.
30. Smith KE. An evaluation of a least-square identification technique based on free-vibration decay responses for damage detection. Proceedings of Conference on MFPG 42, NBS, MD, 1987.
31. Kozin F. Estimation of parameters for systems driven by white noise excitation. Proceedings of IUTAM Symposium, Frankfurt/Odcr(GDR), Hennig K (ed.), 1983; 163-173.
32. Wedig W. Fast algorithms in parameter identification of dynamic systems. Proceedings of IUTAM Symposium on Random Vibration and Reliability, Hennig K (ed.). Akadamie Verlag: Berlin, 1983; 217-227.
33. Caldwell DW. The measurement of damping and the detection of damage in linear and nonlinear systems by the random decrement technique. Ph.D. Thesis, The University of Maryland, 1987.
34. Tsai WH, Kung DN, Yang JCS. Application of system identification technique to damage detection and location in offshore platform. Proceedings of 7th International Symposium on Offshore Mechanics and Arctic Engineering, 1988.
35. Yang JCS, Tsai T, Tsai WH, Chen RZ. Detection and identification of structural damage from dynamic response measurements. Proceedings of 4th International Symposium on Offshore Mechanics and Arctic. Engineering, Dallas, Texas, 1985:496-504.
36. Yun CB, Lee HJ. Sub-structural identification for damage estimation of structures. Journal of Structural Safety 1997; 19(1): 121-140.
37. Quek S, Wang W, Koh CC. System identification of linear MDOF structures under ambient excitation. Journal of Earthquake Engineering and Structural Dynamics 1999; 28(1):61-77.
38. Bodeux JB, Golinval JC. Application of ARMAV models to the identification and damage detection of mechanical and civil engineering structures. Journal of Smart Materials and Structures 2001; 10:479-489.
39. Chen J, Li J. Simultaneous identification of structural parameters and input time history from output-only measurements. Journal of Computational Mechanics 2004; 33(5):365-374
40. Ma CK, Ho CC. An inverse method for the estimation of input forces acting on nonlinear structural systems. Journal of Sound and Vibration 2004; 275:953-971.
41. Katkhuda H, Haldar A. In-service health assessment of real structures at the element level with unknown input and limited global responses. Report-04-001, Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, 2004.
42. Ling X, Haldar A. Element level system identification with unknown input with Rayleigh damping. Journal of Engineering Mechanics (ASCE) 2004; 130(8):877-885.
43. Jazwinski AH. Stochastic Process and Filtering Theory. Academic Press: New York, 1970.
44. Kalman RE. A new approach to linear filtering and prediction problems. Journal of Basic Engineering - Transaction of the ASME 1960; 82(Series D):35-45.
45. Hoshiya M, Sutoh A. Kalman filter-finite element method in identification. Journal of Engineering Mechanics (ASCE) 1993; 119(2): 197-210.
46. Koh CG, See LM, Balendra T. Estimation of structural parameters in time domain: a substructure approach. Journal of Earthquake Engineering and Structural Dynamics 1991; 20(8):787-801.
47. Koh CG, See LM, Balendra T. Damage detection of buildings: numerical and experimental studies. Journal of Structural Engineering (ASCE) 1995; 121(8):1155-1160.
48. Oreta A, Tanabe T. Localized identification of structures by Kalman filter. Journal of Structural/Earthquake Engineering 1993; 9(4):217-225.
49. Oreta A, Tanabe T. Element identification of member properties of framed structures. Journal of Structural Engineering (ASCE) 1994; 120(7):1961-1976.
50. Toki K, Sato T, Kiyono J. Identification of structural parameters and input ground motion from response time histories. Journal of Structural Engineering/Earthquake Engineering 1989; 6(2):413-421.
51. Yun CB, Shinozuka M. Identification of nonlinear structural dynamic systems. Journal of Structural Mechanics (ASCE) 1980; 8(2):187-203.
52. Cook RD. Concepts and Applications of Finite Element Analysis (4th edn). Wiley: New York, 2001.
53. Katkhuda H, Martinez-Flores R, Haldar A. Health assessment at local level with unknown input excitation. Journal of Structural Engineering (ASCE) 2005; 131(6):956-965.
54. Katkhuda H, Martinez-Flores R, Haldar A. A novel defect identification and structural health assessment technique. Journal of Structural Engineering (ASCE) 2004; 31(1):1-8.
55. Vo PH, Haldar A. Health assessment of beams - theoretical and experimental investigation. Journal of Structural Engineering 2004; 31(1):23-30.
56. Martinez-Flores R, Haldar A. Damage assessment potential of a novel system identification technique-experimental verification. Report No. CEEM-05-001, Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, 2005.