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http://dx.doi.org/10.12989/sss.2020.25.2.169

Optimal sensor placement for bridge damage detection using deflection influence line  

Liu, Chengyin (Department of Civil and Environment Engineering, Harbin Institute of Technology)
Teng, Jun (Department of Civil and Environment Engineering, Harbin Institute of Technology)
Peng, Zhen (Department of Civil and Environment Engineering, Harbin Institute of Technology)
Publication Information
Smart Structures and Systems / v.25, no.2, 2020 , pp. 169-181 More about this Journal
Abstract
Sensor placement is a crucial aspect of bridge health monitoring (BHM) dedicated to accurately estimate and locate structural damages. In addressing this goal, a sensor placement framework based on the deflection influence line (DIL) analysis is here proposed, for the optimal design of damage detection-oriented BHM system. In order to improve damage detection accuracy, we explore the change of global stiffness matrix, damage coefficient matrix and DIL vector caused by structural damage, and thus develop a novel sensor placement framework based on the Fisher information matrix. Our approach seeks to determine the contribution of each sensing node to damage detection, and adopts a distance correction coefficient to eliminate the information redundancy among sensors. The proposed damage detection-oriented optimal sensor placement (OSP) method is verified by two examples: (1) a numerically simulated three-span continuous beam, and (2) the Pinghu bridge which has existing real damage conditions. These two examples verify the performance of the distance corrected damage sensitivity of influence line (DSIL) method in significantly higher contribution to damage detection and lower information redundancy, and demonstrate the proposed OSP framework can be potentially employed in BHM practices.
Keywords
bridge health monitoring; deflection influence line; damage detection; sensitivity analysis; distance coefficient correction;
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Times Cited By KSCI : 5  (Citation Analysis)
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1 Cavadas, F., Smith, I.F.C. and Figueiras, J. (2013), "Damage detection using data-driven methods applied to moving-load responses", Mech. Syst. Signal Process., 39(1-2), 409-425. https://doi.org/10.1016/j.ymssp.2013.02.019   DOI
2 Chang, M. and Pakzad, S.N. (2014), "Optimal sensor placement for modal identification of bridge systems considering number of sensing nodes", J. Bridge Eng., 19(6), p. 04014019. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000594   DOI
3 Chen, Z.W., Yang, W.B., Li, J., Cheng, Q.F. and Cai, Q.L. (2017), "A systematic method from influence line identification to damage detection: Application to RC bridges", Comput. Concrete, Int. J., 20(5), 563-572. https://doi.org/10.12989/cac.2017.20.5.563
4 Cho, S., Lee, J. and Sim, S.H. (2018), "Comparative study on displacement measurement sensors for high-speed railroad bridge", Smart Struct. Syst., Int. J., 21(5), 637-652. https://doi.org/10.12989/sss.2018.21.5.637
5 Flaga, K. and Furtak, K. (2015), "Examples of solutions for steelconcrete composite structures in bridge engineering", Civil Environ. Eng. Reports, 16(1), 51-68. https://doi.org/10.1515/ceer-2015-0004   DOI
6 He, L.J., Lian, J.J., Ma, B. and Wang, H.J. (2013), "Optimal sensor placement for large space structures based on distance coefficient-effective independence method", J. Vib. Shock, 32(16), 13-18.
7 Li, S.L., Dong, J.L. Lu, W., Li, H., Xu, W.C. and Jin, Y. (2017), "Optimal sensor placement for cable force monitoring using spatial correlation analysis and bond energy algorithm", Smart Struct. Syst., Int. J., 20(6), 769-780. https://doi.org/10.12989/sss.2017.20.6.769
8 Lee, H.S., Hong, Y.H. and Park, H.W. (2010), "Design of an FIR filter for the displacement reconstruction using measured acceleration in low-frequency dominant structures", Int. J. Numer. Methods Eng., 82(4), 403-434. https://doi.org/10.1002/nme.2769   DOI
9 Li, D.S., Li, H.N. and Fritzen, C.P. (2012), "Load dependent sensor placement method: theory and experimental validation", Mech. Syst. Signal Process., 31, 217-227. https://doi.org/10.1016/j.ymssp.2012.04.014   DOI
10 Li, H.L., Xia, H. and Guo, W.W. (2013), "Study on mechanism of resonance and vibration cancellation for simply-supported beam under moving loads", Eng. Mech., 30(7), 47-54.
11 Liu, H., Qu, W. and Yuan, R. (2003), "Damage detection-oriented sensor optimal placement based on sensitivity analysis", Earthq. Eng. Vib., 23(6), 85-90.
12 Liu, X., Pequito, S., Kar, S., Mo, Y., Sinopoli, B. and Aguiar, A. (2013), "Minimum robust sensor placement for large scale linear time-invariant systems: a structured systems approach", Procedings of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Netherlands, January. https://doi.org/10.3182/20130925-2-DE-4044.00067
13 Jin, C., Li, J., Jang, S., Sun, X. and Christenson, R. (2015), "Structural damage detection for in-service highway bridge under operational and environmental variability", Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 9435, 94353A. https://doi.org/10.1117/12.2084384
14 Hong, J.C., Kim, Y.Y., Lee, H.C. and Lee, Y.W. (2002), "Damage detection using the lipschitz exponent estimated by the wavelet transform: applications to vibration modes of a beam", Int. J. Solids Struct., 39(7), 1803-1816. https://doi.org/10.1016/S0020-7683(01)00279-7   DOI
15 Huang, Y.H., Zhu, C.J., Ye, Y.S. and Xiao, Y. (2016), "Damage Detection of Arch Structure by Using Deflection Influence Line", Proceedings of the 2016 International Conference on Sustainable Energy, Environment and Information Engineering, Thailand. http://dpi-proceedings.com/index.php/dteees/article/view/4500
16 Huston, D. (2010), Structural Sensing, Health Monitoring, and Performance Evaluation, CRC Press, Boca Raton, FL, USA.
17 Kammer, D. and Brillhart, R. (2013), "Optimal sensor placement for modal identification using system-realization methods", J. Guid. Control Dyn., 19(3), 729-731. https://doi.org/10.2514/3.21688   DOI
18 Mao, J.X., Wang, H., Feng, D.M., Tao, T.Y. and Zheng, W.Z. (2018), "Investigation of dynamic properties of long-span cable-stayed bridges based on one-year monitoring data under normal operating condition", Struct. Control Health Monitor., e2146, 1-19. https://doi.org/10.1002/stc.2146
19 Loutas, T.H. and Bourikas, A. (2017), "Strain sensors optimal placement for vibration-based structural health monitoring. the effect of damage on the initially optimal configuration", J. Sound Vib., 410, 217-230. https://doi.org/10.1016/j.jsv.2017.08.022   DOI
20 Kong, X., Cai, C.S. and Kong, B. (2014), "Damage detection based on transmissibility of a vehicle and bridge coupled system", J. Eng. Mech., 141(1), 04014102. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000821   DOI
21 Pei, X.Y., Yi, T.H. and Li, H.N. (2018), "A multitype sensor placement method for the modal estimation of structure", Smart Struct. Syst., Int. J., 21(4), 407-420. https://doi.org/10.12989/sss.2018.21.4.407
22 Polydorides, N, Tsekenis, A., Edward F., Chighine, A., Mccann, H., Dimiccoli, L., Wright, P., Lengden, M., Benoy, T., Wilson, D., Humphries, G. and Johnstone, W. (2018), "Constrained models for optical absorption tomography", Applied Optics, 57(7), p. B1-B9. https://doi.org/10.1364/AO.57.0000B1   DOI
23 Santi, L.M. and Sowers, T.S. (2005), "Optimal sensor selection for health monitoring systems", Proceeding in 41st Joint Propulsion Conference and Exhibit, National Aeronautics and Space Administration, Glenn Research Center, Tucson, AZ, USA.
24 Schulte, R., Bohle, K., Fritzen, C. and Schuhmacher, G. (2006), "Optimal sensor placement for damage identification-an efficient forward-backward selection algorithm", Proceedings of the 3rd European Workshop on Structural Health Monitoring, Granada, Spain. https://doi.org/10.1002/tal.712
25 Shi, Z.Y., Law, S.S. and Zhang, L.M. (2000), "Optimum sensor placement for structural damage detection", J. Eng. Mech., 126(11), 1173-1179. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:11(1173)   DOI
26 Wang, N.B. and Ren, W.X. (2017), "Extraction of influence line through a fitting method from bridge dynamic response induced by a passing vehicle", Eng. Struct., 151, 648-664. https://doi.org/10.1016/j.engstruct.2017.06.067   DOI
27 Singh, S., Chand, S. and Kumar, B. (2016), "Optimum sink location for sensor deployment in wireless sensor networks", J. Info. Optimiz. Sci., 37(4), 605-619. https://doi.org/10.1080/02522667.2015.1131025
28 Soman, R.N., Onoufriou, T., Kyriakides, M.A., Votsisc, R.A. and Chrysostomou, C.Z. (2014), "Multi-type, multi-sensor placement optimization for structural health monitoring of long span bridges", Smart Struct. Syst., Int. J., 14(1), 55-70. https://doi.org/10.12989/sss.2014.14.1.055   DOI
29 Stimac-Grandic, I. (2014), "Influence of sampling interval on deflection-influence-line-based damage detection in beams", J. Appl. Eng. Sci., 12(1), 69-74. https://doi.org/10.5937/jaes12-5668   DOI
30 Talebpour, A. and Mahmassani, H.S. (2016), "Influence of connected and autonomous vehicles on traffic flow stability and throughput", Transport. Res. Part C Emerg. Technol., 71, 143-163. https://doi.org/10.1016/j.trc.2016.07.007   DOI
31 Wang, K.J., Liu, X.L. and Lei, G.U. (2005), "Parallelization of the force method based on generalized inverse matrix in the cluster system", Chinese J. Rock Mech. Eng., 24(1), 57-65.   DOI
32 Xia, Y. and Hao, H. (2000), "Measurement selection for vibrationbased structural damage identification", J. Sound Vib., 236(1), 89-104. https://doi.org/10.1006/jsvi.2000.2960   DOI
33 Zhang, L., Zhu, A.F., Wu, A.G. and Lv, L.L. (2017), "Parametric solutions to the regulator-conjugate matrix equations", J. Indust. Manag. Optimiz., 13(2), 623-631. https://doi.org/10.3934/jimo.2016036   DOI