Scour Depth Determination of Bridge Piers Based on Time-Varying Modal Parameters: Application to Hangzhou Bay Bridge
Publication: Journal of Bridge Engineering
Volume 22, Issue 12
Abstract
Scour of bridge piers has been demonstrated to be one of the most common causes of bridge instability and destruction. This article presents a long-term approach to scour depth determination for a cable-stayed bridge based on time-varying modal parameters generated from a structural health monitoring system. The finite-element model, updated according to dynamic testing before opening the bridge to traffic, was employed to identify the sensitive modes for scour depth variation and establish the numerical relationship between scour depth and the modal parameters. Afterward, the time-varying modal parameters were determined using monitored acceleration data sets. Numerical investigation has indicated that these modal parameters are also significantly impacted by environmental conditions, which will cause confusion when determining scour depth. Nonlinear principal component analysis (NLPCA) was chosen to separate the environmental influence from the scour depth influence on modal parameters. Finally, comparison of the scour depth determined based on modal parameters with the results of visual inspection by divers exhibits the effectiveness of the proposed approach. Moreover, this study could provide guidelines for future decision making regarding the early warning and maintenance of bridge piers.
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Acknowledgments
This study was financially supported by the National Natural Science Foundation of China (NSFC) (Grants 51478149, 51678204, and 51638007), the Ministry of Science and Technology of the People’s Republic of China (MOST) (Grants 2013CB036305, 2015DFG82080, and 2014AA110401), and the Ningbo Science and Technology Project (Grant 2015C110020).
References
Anderson, I. (2015). “Multivariate feature selection for predicting scour-related bridge damage using a genetic algorithm.” Proc., 2015 Fall Meeting of American Geophysical Union, American Geophysical Union, Washington, DC.
Briaud, J.-L., et al. (2011). Realtime monitoring of bridge scour using remote monitoring technology, Texas Transportation Institute, Texas A & M Univ. System, College Station, TX.
Brincker, R., Zhang, L., and Andersen, P. (2001). “Modal identification of output-only systems using frequency domain decomposition.” Smart Mater. Struct., 10(3), 441.
Deng, L., and Cai, C. S. (2010). “Bridge scour: Prediction, modeling, monitoring, and countermeasures—Review.” Pract. Period. Struct. Des. Constr., 125–134.
Elsaid, A. H. E. (2012). “Vibration based damage detection of scour in coastal bridges.” Ph.D. thesis, Dept. of Civil Engineering, North Carolina State Univ., Raleigh, NC.
Fisher, M., Chowdhury, N., Khan, A. A., and Atamturktur, S. (2013). “An evaluation of scour measurement devices.” Flow Meas. Instrum., 33, 55–67.
Foti, S., and Sabia, D. (2011). “Influence of foundation scour on the dynamic response of an existing bridge.” J. Bridge Eng., 295–304.
Friswell, M. I., and Mottershead, J. E. (1995). Finite element model updating in structural dynamics, Springer, Berlin.
Hamill, L. (1998). Bridge hydraulics, CRC, Boca Raton, FL.
Heza, Y. B. M., Soliman, A. M., and Saleh, S. A. (2007). “Prediction of the scour hole geometry around exposed bridge circular-pile foundation.” J. Eng. Appl. Sci., 54(4), 375–392.
Ismail, A., Jeng, D.-S., Zhang, L. L., and Zhang, J.-S. (2013). “Predictions of bridge scour: Application of a feed-forward neural network with an adaptive activation function.” Eng. Appl. Artif. Intell., 26(5–6), 1540–1549.
Kassem, A., Salaheldin, T., Imran, J., and Chaudhry, M. (2003). “Numerical modeling of scour in cohesive soils around artificial rock island of Cooper River Bridge.” Transp. Res. Rec., 1851, 45–50.
Kattell, J., and Eriksson, M. (1998). “Bridge scour evaluation: Screening, analysis, and countermeasures.” Rep. No. 9877, U.S. Dept. of Agriculture Forest Services, Washington, DC.
Laursen, E. M., and Toch, A. (1956). Scour around bridge piers and abutments, Iowa Highway Research Board, Ames, IA.
Li, H., Li, S., Ou, J., and Li, H. (2010). “Modal identification of bridges under varying environmental conditions: Temperature and wind effects.” Struct. Control Health Monit., 17(5), 495–512.
Lim, S.-Y. (1997). “Equilibrium clear-water scour around an abutment.” J. Hydraul. Eng., 237–243.
Lin, Y.-B., Lai, J.-S., Chang, K.-C., Chang, W.-Y., Lee, F.-Z., and Tan, Y.-C. (2010). “Using MEMS sensors in the bridge scour monitoring system.” J. Chin. Inst. Eng., 33(1), 25–35.
Lin, Y.-B., Lai, J.-S., Chang, K.-C., and Li, L.-S. (2006). “Flood scour monitoring system using fiber Bragg grating sensors.” Smart Mater. Struct., 15(6), 1950.
Melville, B. W., and Sutherland, A. J. (1988). “Design method for local scour at bridge piers.” J. Hydraul. Eng., 1210–1226.
midas Civil [Computer software]. Midas IT, Gyeonggi-do, Korea.
Ministry of Construction. (2001). “Code for investigation of geotechnical engineering.” GB 50021-2001, Beijing.
Prendergast, L. J., and Gavin, K. (2014). “A review of bridge scour monitoring techniques.” J. Rock Mech. Geotech. Eng., 6(2), 138–149.
Prendergast, L. J., and Gavin, K. (2016). “A comparison of initial stiffness formulations for small-strain soil–pile dynamic Winkler modelling.” Soil Dyn. Earthquake Eng., 81, 27–41.
Prendergast, L. J., Gavin, K., and Doherty, P. (2015). “An investigation into the effect of scour on the natural frequency of an offshore wind turbine.” Ocean Eng., 101, 1–11.
Prendergast, L. J., Hester, D., and Gavin, K. (2016a). “Determining the presence of scour around bridge foundations using vehicle-induced vibrations.” J. Bridge Eng., 04016065.
Prendergast, L. J., Hester, D., and Gavin, K. (2016b). “Development of a vehicle-bridge-soil dynamic interaction model for scour damage modelling.” Shock Vib., 2016, 7871089.
Prendergast, L. J., Hester, D., Gavin, K., and O’Sullivan, J. J. (2013). “An investigation of the changes in the natural frequency of a pile affected by scour.” J. Sound Vib., 332(25), 6685–6702.
Richardson, E. V., and Davis, S. (2001). “Evaluating scour at bridges.” Rep No. FHWA-IP-90-017, Federal Highway Administration, Washington, DC.
Richardson, J. R., and Richardson, E. V. (1994). “Practical method for scour prediction at bridge piers.” Proc., Hydraulic Engineering, ASCE, Reston, VA, 1–5.
Saegusa, R., Sakano, H., and Hashimoto, S. (2004). “Nonlinear principal component analysis to preserve the order of principal components.” Neurocomput., 61, 57–70.
Scholz, M., Kaplan, F., Guy, C. L., Kopka, J., and Selbig, J. (2005). “Non-linear PCA: A missing data approach.” Bioinf., 21(20), 3887–3895.
Sheppard, D. M. (2003). “Large scale and live bed local pier scour experiments.” Rep No. 133, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL.
Sheppard, D. M., and Miller, W., Jr. (2006). “Live-bed local pier scour experiments.” J. Hydraul. Eng., 635–642.
Shirhole, A. M., and Holt, R. C. (1991). “Planning for a comprehensive bridge safety program.” Proc., 3rd Conf. of Bridge Engineering, Transportation Research Board, Washington, DC, 39–50.
Sohn, H., et al. (2004). A review of structural health monitoring literature: 1996-2001, Los Alamos National Laboratory, Los Alamos, NM.
Young, G., Dou, X., Saffarinia, K., and Jones, J. (1998). “Testing abutment scour model.” Proc., Water Resources Engineering, ASCE, Reston, VA, 180–185.
Yu, X., and Yu, X. (2009). “Time domain reflectometry automatic bridge scour measurement system: Principles and potentials.” Struct. Health Monit., 8(6), 463–476.
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© 2017 American Society of Civil Engineers.
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Received: Jun 24, 2016
Accepted: Jul 6, 2017
Published online: Oct 12, 2017
Published in print: Dec 1, 2017
Discussion open until: Mar 12, 2018
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