[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/sss.2014.14.2.105

Stochastic DLV method for steel truss structures: simulation and experiment

An, Yonghui (Department of Civil Engineering, Dalian University of technology)
Ou, Jinping (Department of Civil Engineering, Dalian University of technology)
Li, Jian (Department of Civil, Environmental, and Architectural Engineering, University of Kansas)
Spencer, B.F. Jr. (Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign)

Publication Information

Smart Structures and Systems / v.14, no.2, 2014 , pp. 105-128 More about this Journal

Abstract

The stochastic damage locating vector (SDLV) method has been studied extensively in recent years because of its potential to determine the location of damage in structures without the need for measuring the input excitation. The SDLV method has been shown to be a particularly useful tool for damage localization in steel truss bridges through numerical simulation and experimental validation. However, several issues still need clarification. For example, two methods have been suggested for determining the observation matrix C identified for the structural system; yet little guidance has been provided regarding the conditions under which the respective formulations should be used. Additionally, the specific layout of the sensors to achieve effective performance with the SDLV method and the associated relationship to the specific type of truss structure have yet to be explored. Moreover, how the location of truss members influences the damage localization results should be studied. In this paper, these three issues are first investigated through numerical simulation and subsequently the main results are validated experimentally. The results of this paper provide guidance on the effective use of the SDLV method.

Keywords

stochastic damage locating vector (SDLV) method; sensor layout; damage detection; steel-truss bridge; damage localization; structural health monitoring;

Citations & Related Records

Times Cited By KSCI : 5 (Citation Analysis)

Reference
Cited By KSCI

1	Yan, Y.J., Cheng, L., Wu, Z.Y. and Yam, L.H. (2007), "Development in vibration-based structural damage detection technique", Mech. Syst. Signal Pr., 21, 2198-2211. DOI ScienceOn
2	Yu, L.Y. and Giurgiutiu, V. (2005), "Advanced signal processing for enhanced damage detection with piezoelectric wafer active sensors", Smart Struct. Syst., 1(2), 185-215. DOI
3	Zhou, D., Ha, D.S. and Inman D.J. (2010), "Ultra low-power active wireless sensor for structural health monitoring", Smart Struct. Syst., 6(5-6), 675-687. DOI
4	Zhou, L., Yuan, F.G. and Meng, W.J. (2007), "A pre-stack migration method for damage identification in composite structures", Smart Struct. Syst., 3(4), 439-454. DOI
5	Hu, N., Wang, X., Fukunaga, H., Yao, Z.H., Zhang, H.X. and Wu, Z.S. (2001), "Damage assessment of structures using modal test data", Int. J. Solids Struct., 38(18), 3111-3126. DOI ScienceOn
6	James, G.H., Carne, T.G. and Lauffer, J.P. (1995), "The natural excitation technique (NExT) for modal parameter extraction from operating structures", J. Anal. Expert. Modal Anal., 10(4), 260-277.
7	Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guid. Control Dynam., 8(5), 620-627. DOI ScienceOn
8	Katkhuda, H. and Haldar, A. (2008), "A novel health assessment technique with minimum information", Struct. Control Health Monit., 15(6), 821-838. DOI
9	Kim, H. and Melhem, H. (2004), "Damage detection of structures by wavelet analysis", Eng. Struct., 26, 7-14.
10	Lifshitz, J.M. and Rotem, A. (1969), "Determination of reinforcement unbonding of composites by a vibration technique", J. Compos. Mater., 3(3), 412-423. DOI
11	Mathwork Inc. (2005), Matlab user manual, Lowell, MA, U.S.A.
12	Nagayama, T., Spencer Jr, B.F. and Rice, J.A. (2009), "Autonomous decentralized structural health monitoring using smart sensors", Struct.Control Health Monit., 16(7-8), 842-859.
13	Ou J.P. (2005), "Research and practice of smart sensor networks and health monitoring systems for civil infrastructures in mainland China", Bulletin of National Science Foundation of China, 19(1), 8-12 (in Chinese).
14	Pandey, A.K., Biswas, M. and Samman, M.M. (1991), "Damage detection from changes in curvature mode shapes", J. Sound Vib., 145(2), 321-332. DOI ScienceOn
15	Pandey, A. and Biswas, M. (1996), "Damage detection in structures using changes in flexibility", J. Sound Vib., 169(1), 3-17.
16	An, Y.H. and Ou, J.P. (2013), "Experimental and numerical studies on model updating method of damage severity identification utilizing four cost functions", J. Struct. Control Health Monit., 20(1), 107-120. DOI
17	Bernal, D. (2006), "Flexibility-based damage localization from stochastic realization results", J. Eng. Mech. - ASCE, 132(6), 651-658. DOI ScienceOn
18	Bernal, D. (2002), "Load vectors for damage localization", J. Eng. Mech. - ASCE, 128(1), 7-14. DOI ScienceOn
19	Caicedo, J.M., Dyke, S.J. and Johnson, E.A. (2004), "Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: simulated data", J. Eng. Mech. - ASCE, 130(1), 49-60. DOI ScienceOn
20	Chen, B.L. and Nagarajaiah, S. (2008), "Structural damage detection using decentralized controller design method," Smart Struct. Syst., 4(6), 779-794. DOI ScienceOn
21	An, Y.H. and Ou, J.P. (2012), "Experimental and numerical studies on damage localization of simply supported beams based on curvature difference probability method of waveform fractal dimension", J. Intel. Mat. Syst. Str., 23, 415-426. DOI
22	Gao, Y. (2005), Strctural health monitoring strategies for smart sensor networks, PhD Thesis, Graduate College of the University of Illinois at Urbana-Champaign, U.S.A.
23	Gao, Y., Spencer Jr, B.F. and Bernal, D. (2007), "Experimental verification of the flexibility-based damage locating vector method", J. Eng. Mech. - ASCE , 133(10), 1043-1049. DOI
24	An, Y.H. and Ou, J.P. (2010), "Research on a long-span truss steel bridge Benchmark model for health monitoring", Proceedings of the 19th national Bridge Conference (China), Shanghai, June, 1284-1291 (in Chinese).
25	Balmes, E., Basseville, M., Mevel, L., Nasser, H. and Zhou, W. (2008), "Statistical model-based damage localization: A combined subspace-based and substructuring approach", Struct. Control Health Monit., 15(6), 857-875. DOI
26	Shi, Z.Y., Law, S.S. and Zhang, L.M. (2000), "Structural damage detection from modal strain energy change", J. Eng. Mech.- ASCE, 126(12), 1216-1223. DOI ScienceOn
27	Deraemaeker, A., Preumont, A., Reynders, E., De Roeck, G., Kullaa, J., Lamsa, V., Worden, K., Manson, G., Barthorpe, R., Papatheou, E., Kudela, P., Malinowski, P., Ostachowicz , W. and Wandowski, T. (2010), "Vibration-based structural health monitoring using large sensor networks", Smart Struct. Syst., 6(3), 335-347. DOI

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None	(2014) Advances in civil engineering Damage Identification by the Data Expansion and Substructuring Methods / 2018 (None) , 1