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http://dx.doi.org/10.12989/sss.2013.12.3_4.235

Multi-dimensional sensor placement optimization for Canton Tower focusing on application demands  

Yi, Ting-Hua (School of Cvil Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology)
Li, Hong-Nan (School of Cvil Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology)
Wang, Xiang (School of Cvil Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology)
Publication Information
Smart Structures and Systems / v.12, no.3_4, 2013 , pp. 235-250 More about this Journal
Abstract
Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. According to the mathematical background and implicit assumptions made in the triaxial effective independence (EfI) method, this paper presents a novel multi-dimensional OSP method for the Canton Tower focusing on application demands. In contrast to existing methods, the presented method renders the corresponding target mode shape partitions as linearly independent as possible and, at the same time, maintains the stability of the modal matrix in the iteration process. The modal assurance criterion (MAC), determinant of the Fisher Information Matrix (FIM) and condition number of the FIM have been taken as the optimal criteria, respectively, to demonstrate the feasibility and effectiveness of the proposed method. Numerical investigations suggest that the proposed method outperforms the original EfI method in all instances as expected, which is looked forward to be even more pronounced should it be used for other multi-dimensional optimization problems.
Keywords
optimal sensor placement; effective independence method; Canton Tower; sensitivity; robustness;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Kammer, D.C. and Tinker M.L. (2004), "Optimal placement of triaxial accelerometers for modal vibration tests", Mech. Syst. Signal Pr., 18(1), 29-41.   DOI   ScienceOn
2 Kammer, D.C. and Yao, L. (1994), "Enhancement of on-orbit modal identification of large space structures through sensor placement", J. Sound Vib., 171(1), 119-140.   DOI   ScienceOn
3 Li, D.S., Li, H.N. and Fritzec, C.P. (2007), "The connection between effective independence and modal kinetic energy methods for sensor placement", J. Sound Vib., 305(4-5), 945-955.   DOI   ScienceOn
4 ANSYS, ANSYS, Inc. Canonsburg, PA (USA), http://www.ansys.com.
5 Ni, Y.Q., Xia, Y., Liao, W.Y. and Ko, J.M. (2009), "Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower", Struct Health Monit., 16(1), 73-98.   DOI   ScienceOn
6 Li, D.S., Li, H.N. and Fritzec, C.P. (2009), "A note on fast computation of effective independence through QR downdating for sensor placement", Mech. Syst. Signal Pr., 23(4), 1160-1168.   DOI   ScienceOn
7 Lin, W., Ni, Y.Q. Xia, Y. and Chen, W. H. (2010), "Field measurement data and a reduced order finite element model for Task I of the SHM benchmark problem for high rise structures", Proceedings of the 5th World Conference on Structural Control and Monitoring, Tokyo, Japan.
8 Meo, M. and Zumpano, G. (2005), "On the optimal sensor placement techniques for a bridge structure", Eng. Struct., 27(10), 1488-1497.   DOI   ScienceOn
9 Park, Y.S. and Kim, H.B. (1996), "Sensor placement guide for model comparison and improvement", Proceedings of the 14th International Modal Analysis Conference (IMAC), Dearborn, Mi., USA.
10 Wang, X.L., Qu, W.L. and Liu, H. (2007), "Finite element analysis on dynamic characteristics of super high tower in Guangzhou", J. Wuhan Univ. Technol., 29(1), 142-144.   DOI
11 Yi, T.H., Li, H.N. and Gu, M. (2011), "A new method for optimal selection of sensor location on a high-rise building using simplified finite element model", Struct. Eng. Mech., 37(6), 671-684.   DOI   ScienceOn
12 Yi, T.H., Li, H.N. and Gu, M. (2011), "Optimal sensor placement for health monitoring of high-rise structure based on genetic algorithm", Math. Probl. Eng., Article ID 395101, 1-11.
13 Friswell, M.I., Garvey, S.D. and Penny, J.E.T. (1995), "Model reduction using dynamic and iterated IRS techniques", J. Sound Vib., 186(2), 311-323.   DOI   ScienceOn
14 Yi, T.H., Li, H.N. and Gu, M. (2011), "Optimal sensor placement for structural health monitoring based on multiple optimization strategies", Struct. Des. Tall Spec., 20(7), 881-900.   DOI   ScienceOn
15 Coote, J.E., Lieven, N.A.J. and Skingle, G.W. (2005), "Sensor placement optimization for modal testing of a helicopter fuselage", Proceedings of the 24th International Modal Analysis Conference (IMAC), Orlando, Fl., USA.
16 Fedorov, V.V. (1972), Theory of optimal experiments, New York, Academic Press.
17 Golub, G.H. and Van, L.C.F. (1996), Matrix computations, 3rd Ed., Baltimore: Johns Hopkins University Press.
18 Heo, G., Wang, M.L. and Satpathi, D. (1997), "Optimal transducer placement for health monitoring of long span bridge", Soil Dyn. Earthq. Eng., 16(7-8), 495-502.   DOI   ScienceOn
19 Housner, G.W., Bergman, L.A., Caughey, T.K., Chassiakos, A.G., Claus, R.O., Masri, S.F., Soong, T.T., Spencer, B.F. and Yao, J.T.P. (1997), "Structural control: past, present, and future", J. Eng. Mech. - ASCE, 123(9), 897-971.   DOI
20 Kammer, D.C. (1991), "Sensor placement for on-orbit modal identification and correlation of large space structures", J. Guid. Control Dynam., 14(2), 251-259.   DOI
21 Kammer, D.C. (2005), "Sensor set expansion for modal vibration testing", Mech. Syst. Signal Pr., 19(4), 700-713.   DOI   ScienceOn