Publication Cover
Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 13, 2017 - Issue 9
294
Views
5
CrossRef citations to date
0
Altmetric
Articles

Application of a self-adaptive Kalman filter approach in alignment control for an extra long span rail transit cable-stayed bridge

, , , &
Pages 1186-1197 | Received 16 Oct 2015, Accepted 20 Sep 2016, Published online: 28 Nov 2016

References

  • Azam, S.E., Chatzi, E., & Papadimitriou, C. (2015). A dual Kalman filter approach for state estimation via output-only acceleration measurements. Mechanical Systems and Signal Processing, 60–61, 866–886.10.1016/j.ymssp.2015.02.001
  • Chatzi, E.N., & Smyth, A.W. (2009). The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing. Structural Control and Health Monitoring, 16, 99–123.10.1002/stc.v16:1
  • Chen, Z., Zhang, C., Zhou, J., Song, J., & Huang, C. (2013). Study of cable force of construction control and alignment control of main girders for long-span railway cable-stayed bridges. Modern Applied Science, 7, 47–56.
  • Chung, W., Kim, S., Kim, N.-S., & Lee, H.-U. (2008). Deflection estimation of a full scale prestressed concrete girder using long-gauge fiber optic sensors. Construction and Building Materials, 22, 394–401.10.1016/j.conbuildmat.2006.08.007
  • Hassan, M., Nassef, A., & El Damatty, A. (2012). Determination of optimum post-tensioning cable forces of cable-stayed bridges. Engineering Structures, 44, 248–259.10.1016/j.engstruct.2012.06.009
  • Hong, L., Di Xu, Y., Mo, Z., Wang, Z., Wu, L., Zhong, Y., Luo, C., & Luo, Y. (2015). A research of the impacts of the rail transit on the development of the commercial spaceed. In IEEE 12th International Conference on Service Systems and Service Management (ICSSSM) (pp. 1–5). Guangzhou.10.1109/ICSSSM.2015.7170147
  • Huang, H. (1996). The land-use impacts of urban rail transit systems. Journal of Planning Literature, 11, 17–30.10.1177/088541229601100103
  • Kalman, R.E. (1960). A new approach to linear filtering and prediction problems. Journal of Fluids Engineering, 82, 35–45.
  • Khanam, S., Dutt, J.K., & Tandon, N. (2014). Extracting rolling element bearing faults from noisy vibration signal using Kalman filter. Journal of Vibration and Acoustics, 136, 031008.10.1115/1.4026946
  • Kim, C.-W., Kawatani, M., & Kwon, Y.-R. (2007). Impact coefficient of reinforced concrete slab on a steel girder bridge. Engineering Structures, 29, 576–590.10.1016/j.engstruct.2006.05.021
  • Kwak, H.-G., & Son, J.-K. (2004). Design moment variations in bridges constructed using a balanced cantilever method. Construction and Building Materials, 18, 753–766.10.1016/j.conbuildmat.2004.04.021
  • Kwak, H.-G., & Son, J.-K. (2006). Determination of design moments in bridges constructed with a movable scaffolding system (MSS). Computers & Structures, 84, 2141–2150.10.1016/j.compstruc.2006.08.044
  • Li, H.-N., Li, D.-S., & Song, G.-B. (2004). Recent applications of fiber optic sensors to health monitoring in civil engineering. Engineering Structures, 26, 1647–1657.10.1016/j.engstruct.2004.05.018
  • Li, Q., Bu, Y., & Zhang, Q. (2009). Whole-procedure adaptive construction control system based on geometry control method. China Civil Engineering Journal, 42, 69–77.
  • Lourens, E., Reynders, E., De Roeck, G., Degrande, G., & Lombaert, G. (2012). An augmented Kalman filter for force identification in structural dynamics. Mechanical Systems and Signal Processing, 27, 446–460.10.1016/j.ymssp.2011.09.025
  • MacDonald, J.M., Stokes, R.J., Cohen, D.A., Kofner, A., & Ridgeway, G.K. (2010). The effect of light rail transit on body mass index and physical activity. American Journal of Preventive Medicine, 39, 105–112.10.1016/j.amepre.2010.03.016
  • Mariani, S., & Ghisi, A. (2007). Unscented Kalman filtering for nonlinear structural dynamics. Nonlinear Dynamics, 49, 131–150.10.1007/s11071-006-9118-9
  • Naets, F., Pastorino, R., Cuadrado, J., & Desmet, W. (2014). Online state and input force estimation for multibody models employing extended Kalman filtering. Multibody System Dynamics, 32, 317–336.10.1007/s11044-013-9381-8
  • Narasimhappa, M., Rangababu, P., Sabat, S.L., & Nayak, J. (2012). A modified Sage-Husa adaptive Kalman filter for denoising fiber optic gyroscope signaled. In Annual IEEE India Conference (INDICON), (pp. 1266–1271). Kerala.
  • Pan, Z., Li, B., & Lu, Z. (2013). Re-evaluation of CEB-FIP 90 prediction models for creep and shrinkage with experimental database. Construction and Building Materials, 38, 1022–1030.10.1016/j.conbuildmat.2012.07.009
  • Pan, S., Shi, M., Liu, Z., Zhang, J., Liu, Z., & Zhang, J. (2013). State estimation and joint actuator fault reconstruction for planar one-legged articulated hopping robots using an extended Kalman filter approach. Advances in Structural Engineering, 16, 149–164.10.1260/1369-4332.16.1.149
  • Papakonstantinou, K., & Shinozuka, M. (2013). Spatial stochastic direct and inverse analysis for the extent of damage in deteriorated RC structures. Computers & Structures, 128, 286–296.10.1016/j.compstruc.2013.08.004
  • Qin, F., Zhang, X., & Zhou, Q. (2014). Evaluating the impact of organizational patterns on the efficiency of urban rail transit systems in China. Journal of Transport Geography, 40, 89–99.10.1016/j.jtrangeo.2014.08.002
  • Riad, M.Y., Shoukry, S.N., Sosa, E.M., & William, G.W. (2011). Concrete mix pouring sequence for uniform setting and curing of bridge decks. Construction and Building Materials, 25, 1653–1662.10.1016/j.conbuildmat.2010.10.006
  • Robertson, I.N. (2005). Prediction of vertical deflections for a long-span prestressed concrete bridge structure. Engineering Structures, 27, 1820–1827.10.1016/j.engstruct.2005.05.013
  • Rodrigues, C., Félix, C., Lage, A., & Figueiras, J. (2010). Development of a long-term monitoring system based on FBG sensors applied to concrete bridges. Engineering Structures, 32, 1993–2002.10.1016/j.engstruct.2010.02.033
  • Sousa, H., Bento, J., & Figueiras, J. (2013). Construction assessment and long-term prediction of prestressed concrete bridges based on monitoring data. Engineering Structures, 52, 26–37.10.1016/j.engstruct.2013.02.003
  • Soyluk, K., & Dumanoglu, A. (2000). Comparison of asynchronous and stochastic dynamic responses of a cable-stayed bridge. Engineering Structures, 22, 435–445.10.1016/S0141-0296(98)00126-6
  • Sun, Y., Sun, J., Wan, L., Li, C., & Zhang, Y. (2011). An improved self-adaptive Kalman filter for underwater integrated navigation system based on dred. In IEEE 2nd International Conference on Intelligent Control and Information Processing (ICICIP) (pp. 993–998). Harbin.
  • Tabatabai, H. (2005). Inspection and maintenance of bridge stay cable systems: A synthesis of highway practice – Transportation Research Board. Washington, DC.
  • Wang, J., Guo, J., & Ding, L. (2009). An adaptive Kalman filtering based state of charge combined estimator for electric vehicle battery pack. Energy Conversion and Management, 50, 3182–3186.
  • Wang, P.-H., Lin, H.-T., & Tang, T.-Y. (2002). Study on nonlinear analysis of a highly redundant cable-stayed bridge. Computers & Structures, 80, 165–182.10.1016/S0045-7949(01)00166-3
  • Wang, P., Tseng, T., & Yang, C. (1993). Initial shape of cable-stayed bridges. Computers & Structures, 46, 1095–1106.10.1016/0045-7949(93)90095-U
  • Xia, H., Deng, Y., Zou, Y., De Roeck, G., & Degrande, G. (2009). Dynamic analysis of rail transit elevated bridge with ladder track. Frontiers of Architecture and Civil Engineering in China, 3, 2–8.10.1007/s11709-009-0001-x
  • Zhang, T. (2008). Life-cycle performance monitoring and analysis of long span rigid frame-continuous beam bridges. Harbin: Harbin Institute of Technology.
  • Zhou, L., Yan, G., Wang, L., & Ou, J. (2013). Review of benchmark studies and guidelines for structural health monitoring. Advances in Structural Engineering, 16, 1187–1206.10.1260/1369-4332.16.7.1187
  • Zhu, H., Mao, Ling, Weng, Shun, Ru, J., Weng, S., Zhu, H., Mao, L., & Weng, S. (2013). Calculation of dynamic response sensitivity to substructural damage identification under moving load. Advances in Structural Engineering, 16, 1621–1632.10.1260/1369-4332.16.9.1621

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.