References
- ATMACS (2008), Consulting for the measurement systems for integrated entrusted management of long-span bridges (The 1st and 2nd Jindo Bridges) (in Korean), Sungnam, Gyunggi-do, Korea.
- Brincker, R. Zhang, L. and Andersen, P. (2001), "Modal identification of output-only systems using frequency domain decomposition" Smart Mater. Struct., 10, 441-445. https://doi.org/10.1088/0964-1726/10/3/303
- Caetano, E., Cunha, A., Gattulli, V. and Lepidi, M. (2008), "Cable-deck dynamic interactions at the International Guadiana Bridge: On-site measurements and finite element modeling", Struct. Control Health Monit., 15(3), 237-264. https://doi.org/10.1002/stc.241
- Cho, S., Lynch, J.P., Lee, J.J. and Yun, C.B. (2010), "Development of an automated wireless tension force estimation system for cable-stayed bridge", J. Intel. Mat. Syst. Str., 21(3), 361-376. https://doi.org/10.1177/1045389X09350719
- Ernst, J.H. (1965), "Der E-modul von seilen unter berucksienhtigung des durchanges (in German), Der Bauingenieur, 40(2), 52-55.
- Fujino, Y., Siringoringo, D.M. and Abe M. (2009), "The needs for advanced sensor technologies in risk assessment of civil infrastructures", Smart Struct. Syst., 5(2), 173-191. https://doi.org/10.12989/sss.2009.5.2.173
- Irvine, M. (1981), Cable structures, Dover Publications, Inc., New York, USA.
- Jain, A., Jones, N.P. and Scanlan, R.H. (1998), "Effect of modal damping on bridge aeroelasticity", J. Wind Eng. Ind. Aerod., 77(8), 421-430.
- Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer, Jr., B.F. and Agha, G. (2010), "Structural health monitoring of a cable stayed bridge using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6(5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
- Jeong, M.J. and Koh, B.H. (2009), "A decentralized approach to damage localization through smart wireless sensors," Smart Struct. Syst., 5(1), 43-54. https://doi.org/10.12989/sss.2009.5.1.043
- Koo, K.Y., Lee, J.J., Yun, C.B. and Kim, J.T. (2008), "Damage detection in beam-like structures using deflections obtained by modal flexibility matrices", Smart Struct. Syst., 4(5), 605-628. https://doi.org/10.12989/sss.2008.4.5.605
- Koshimura, K., Tatsumi, M. and Hata, K. (1994), "Vibration control of the main towers of the Akashi Kaikyo Bridge", Proceedings of the 1st World Conference on Structural Control, Los Angeles, California, USA.
- Li, H., Liu, M., Li, J.H., Guan, X.C. and Ou, J.P. (2007), "Vibration control of stay cables of the Shandong Binzhou yellow drive highway bridge using magnetorehaological fluid dampers", J. Bridge Eng., 12(4), 401-409. https://doi.org/10.1061/(ASCE)1084-0702(2007)12:4(401)
- MidasIT (2009), http://www.midasit.com.
- Overschee, P.V. and De Moor, B. (1993), "Subspace algorithms for the stochastic identification problem", Automatics, 29(3), 649-660. https://doi.org/10.1016/0005-1098(93)90061-W
- Pakzad, S.N., Fenves, G.L., Kim. S. and Culler, D.E. (2008), "Design and implementation of scalable wireless sensor network for structural monitoring", J. Infrastruct. Syst., 14(1), 89-101. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(89)
- Park, Y.S., Choi, S.M., Yang, W.Y., Hong, H.J. and Kim, W.H. (2008), "A study on tension for cables of a cablestayed bridge damper is attached (in Korean)", J. Korean Soc. Steel Constr., 20(5), 609-616.
- Peeters, B. and De Roeck, G. (1999), "Reference-based stochastic subspace identification for output-only modal analysis", Mech. Syst. Signal Pr., 13(6), 855-878. https://doi.org/10.1006/mssp.1999.1249
- Pinto da Costa, A., Martins, J.A.C., Branco, F. and Lilien, J.L. (1996), "Oscillations of bridge stay cables induced by periodic motions of deck and/or towers", J. Eng. Mech.-ASCE, 122(7), 613-622. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:7(613)
- Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., Spencer, Jr., B.F., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5-6), 423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
- Sim, S.H., Carbonell-Marquez, J.F. and Spencer, Jr., B.F. (2010), "Efficient decentralized data aggregation in wireless smart sensor networks," Proceedings of the SPIE conference on Sensors and Smart Structures Technologies for Civil, Mechanical and Aerospace Systems, San Diego, CA, USA.
- Weng, J.H., Loh, C.H., Lynch, J.P., Lu, K.C., Lin, P.Y. and Wang, Y. (2008), "Output-only modal identification of a cable-stayed bridge using wireless monitoring systems", Eng. Struct., 30(7), 1820-1830. https://doi.org/10.1016/j.engstruct.2007.12.002
- Yi, J.H. and Yun, C.B. (2004), "Comparative study on modal identification methods using output-only information", Struct. Eng. Mech., 17(3-4), 445-466. https://doi.org/10.12989/sem.2004.17.3_4.445
- Yun, J. (2001), Finite element model updating for cable-stayed bridge using ambient vibration (in Korean), Ph.D. Thesis, Seoul National University, Seoul, Korea.
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