Data-Based Model-Free Hysteretic Restoring Force and Mass Identification for Dynamic Systems

Computer-Aided Civil and Infrastructure Engineering

Volumn 30, Issue 1, 2015, Pages 2-18

  Xu, Bin ^a   He, Jia ^a   Masri, Sami F ^b  

^a HUNAN UNIVERSITY   (China)

^b University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); DYNAMIC LOADS; ENERGY DISSIPATION; HYSTERESIS; NUMERICAL MODELS; SHAPE-MEMORY ALLOY; STIFFNESS; STRUCTURAL ANALYSIS; ULTRASONIC DEVICES;

ENGINEERING STRUCTURES; HYSTERETIC RESTORING FORCE; MAGNETO-RHEOLOGICAL DAMPERS; MASS IDENTIFICATIONS; MULTI DEGREE-OF-FREEDOM; STIFFNESS DEGRADATION; STRUCTURAL NON-LINEARITIES; VIBRATION-BASED DAMAGE DETECTION;

DAMAGE DETECTION;

EID: 84920148003     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/mice.12066     Document Type: Article

References (40)

1. Adeli, H. & Jiang, X. (2006), Dynamic fuzzy wavelet neural network model for structural system identification, Journal of Structural Engineering, 132(1), 102-11.
2. Adewuyi, A. P. & Wu, Z. S. (2011), Vibration-based damage localization in flexural structures using normalized modal macrostrain techniques from limited measurements, Computer-Aided Civil and Infrastructure Engineering, 26(3), 154-72.
3. Ashrafi, S. A., Smyth, A. W. & Betti, R. (2006), A parametric identification scheme for non-deteriorating and deteriorating non-linear hysteretic behavior, Structural Control and Health Monitoring, 13, 108-31.
4. Bocca, M., Eriksson, L. M., Mahmood, A., Jäntti, R. & Kullaa, J. (2011), A synchronized wireless sensor network for experimental modal analysis in structural health monitoring, Computer-Aided Civil and Infrastructure Engineering, 26(7), 483-99.
5. Fan, W. & Qiao, P. Z. (2011), Vibration-based damage identification methods: a review and comparative study, Structural Health Monitoring, 10(1), 83-111.
6. Farrar, C. R. & Lieven, N. A. J. (2007), Damage prognosis: the future of structural health monitoring, Philosophical Transactions of the Royal Society A, 365, 623-32.
7. Franchetti, P., Modena, C. & Feng, M. Q. (2009), Nonlinear damping identification in precast prestressed reinforced concrete beams, Computer-Aided Civil and Infrastructure Engineering, 24(8), 577-92.
8. Ghanem, R. R. & Shinozuka, M. (1995), Structural-system identification I: theory, Journal of Engineering Mechanics, 121(2), 255-64.
9. He, J., Xu, B. & Masri, S. F. (2012), Nonlinear restoring force identification for a chain-like MR-damped MDOF structure with unknown excitations, Nonlinear Dynamics, 69(1), 231-45.
10. Hiemenz, G. J., Choi, Y. T. & Wereley, N. M. (2003), Seismic control of civil structures utilizing semi-active MR braces, Computer-Aided Civil and Infrastructure Engineering, 18(1), 31-44.
11. Huang, C. C. & Loh, C. H. (2001), Nonlinear identification of dynamic systems using neural networks, Computer-Aided Civil and Infrastructure Engineering, 16(1), 28-41.
12. Hung, L. S., Huang, C. S., Wen, C. M. & Hsu, Y. C. (2003), Nonparametric identification of a building structure from experimental data using wavelet neural network, Computer-Aided Civil and Infrastructure Engineering, 18(5), 356-68.
13. Jafarkhani, R. & Masri, S. F. (2011), Finite element model updating using evolutionary strategy for damage detection, Computer-Aided Civil and Infrastructure Engineering, 26(3), 207-24.
14. Jiang, X. M. & Adeli, H. (2005), Dynamic wavelet neural network for nonlinear identification of highrise buildings, Computer-Aided Civil and Infrastructure Engineering, 20(5), 316-30.
15. Kerschen, G., Worden, K., Vakakis, A. F. & Golinval, J.C. (2006), Past, present and future of nonlinear system identification in structural dynamics, Mechanical System and Signal Processing, 20, 505-92.
16. Lei, Y., Wu, Y. & Li, T. (2011), Identification of nonlinear structural parameters under unmeasured excitations, Advance in Building Materials, 168-170, 768-72.
17. Li, H. & Mao, C. X. (2001), Seismic response of buildings with SMA passive energy dissipation devices: analysis and design, Earthquake Engineering and Engineering Vibration, 21(4), 54-59.
18. Mariani, S. & Ghisi, A. (2007), Unscented Kalman filtering for nonlinear structural dynamics, Nonlinear Dynamics, 49(1), 131-50.
19. Masri, S. F., Caffery, J. P., Caughey, T. K., Smyth, A. W. & Chassiakos, A. G. (2005), A general data-based approach for developing reduced-order models of non-linear MDOF systems, Nonlinear Dynamics, 39, 95-112.
20. Masri, S. F., Tasbihgoo, F., Caffery, J. P., Smyth, A. W. & Chassiakos, A. G. (2006), Data-based model-free representation of complex hysteretic MDOF systems, Structural Control and Health Monitoring, 13, 365-87.
21. Moaveni, B., He, X. & Conte, J. P. (2008), Damage identification of a composite beam based on changes of modal parameters, Computer-Aided Civil and Infrastructure Engineering, 23(5), 339-59.
22. Peeters, B., Auweraer, H. V., Guillaume, P. & Leuridan, J. (2004), The PolyMAX frequency-domain method: a new standard for modal parameter estimation, Shock and Vibration, 11, 395-409.
23. Raich, A. M. & Liszkai, T. R. (2012), Multi-objective optimization of sensor and excitation layouts for frequency response function-based structural damage identification, Computer-Aided Civil and Infrastructure Engineering, 27(2), 95-117.
24. Saadat, S., Salichs, J., Noori, M., Hou, Z., Davoodi, H., Bar-on, I., Suzuki, Y. & Masuda, A. (2002), An overview of vibration and seismic applications pf NiTi shape memory alloy, Smart Materials and Structures, 11(2), 218-29.
25. Smyth, A. W., Masri, S. F., Chassiakos, A. G. & Caughey, T. K. (1999), On-line parametric identification of MDOF nonlinear hysteretic systems, Journal of Engineering Mechanics, 125(2), 133-42.
26. Smyth, A. W., Masri, S. F., Kosmatopoulos, E. B., Chassiakos, A. G. & Caughey, T. K. (2002), Development of adaptive modeling techniques for non-linear hysteretic systems, International Journal of Non-Linear Mechanics, 37(8), 1435-51.
27. Sodeyama, H., Sunakoda, K., Fujitani, H., Soda, S., Iwata, N. & Hata, K. (2003), Dynamic tests and simulation of magneto-rheological dampers, Computer-Aided Civil and Infrastructure Engineering, 18(1), 45-47.
28. Song, G., Ma, N. & Li, H. N. (2006), Applications of shape memory alloys in civil structures, Engineering Structures, 28(9), 1266-74.
29. Spencer, B. F., Jr., Dyke, S. J., Sain, M. K. & Carlson, J. D. (1997), Phenomenological model of a magnetorheological damper, Journal of Engineering Mechanics, 123(3), 230-38.
30. Worden, K. (1990), Data processing and experiment design for the restoring force surface method Part I: integration and differentiation of measured time data, Mechanical Systems and Signal Processing, 4, 295-319.
31. Worden, K. & Tomlinson, G. R. (2001), Nonlinearity in Structural Dynamics: Detection, Identification and Modeling, Institute of Physics Publishing, Bristol and Philadelphia.
32. Wu, M. & Smyth, A. W. (2007), Application of the unscented Kalman filter for real-time nonlinear structural system identification, Journal of Structural Control and Monitoring, 14(7), 971-90.
33. Wu, Z. S., Xu, B. & Harada, T. (2003), Review on structural health monitoring for infrastructure, Journal of Applied Mechanics, 6, 1043-54.
34. Xu, B., Chen, G. & Wu, Z. S. (2007), Parametric identification for a truss structure using axial strain, Computer-Aided Civil and Infrastructure Engineering, 22(3), 210-22.
35. Xu, B., He, J. & Masri, S. F. (2012a), Data-based identification of nonlinear restoring force under spatially incomplete excitations with power series polynomial model, Nonlinear Dynamics, 67(3), 2063-80.
36. Xu, B., He, J., Rovekamp, R. & Shirley, J. D. (2012b), Structural parameters and dynamic loading identification from incomplete measurements: approach and validation, Mechanical Systems and Signal Processing, 28, 244-57.
37. Yan, W. J. & Ren, W. X. (2012), Operational modal parameter identification from power spectrum density transmissibility, Computer-Aided Civil and Infrastructure Engineering, 27(3), 202-17.
38. Yang, J. N., Huang, H. W. & Lin, S. (2006), Sequential non-linear least-square estimation for damage identification of structures, International Journal of Non-Linear Mechanics, 41, 124-40.
39. Yun, H. B., Masri, S. F., Wolfe, R. W. & Benzoni, G. (2009), Data-driven methodologies for change detection in large-scale nonlinear dampers with noisy measurements, Journal of Sound and Vibration, 322, 336-57.
40. Zhou, Q. & Qu, W. L. (2002), Two mechanic models for magenetorheological damper and corresponding test verification, Earthquake Engineering and Engineering Vibration, 22(4), 144-50.