Reliability-Based Design Optimization of a River Bridge Considering Uncertainty in Scours
Publication: Journal of Performance of Constructed Facilities
Volume 32, Issue 1
Abstract
Safety assessments of river bridges have attracted a great deal of attention from researchers. Regardless of whether a bridge is being constructed or retrofitted, an integrated analysis of many factors, such as hydraulic conditions, geological conditions, and structural strength, is necessary. A three-dimensional finite-element model is used here to perform structural analysis. The uncertainty in important parameters (such as water level, water flow rate, scouring depth, and the N value of the standard penetration test) was considered via a reliability analysis. A parameterized bridge model was established to perform the iterative calculations required for the optimization and reliability analysis, in which the preprocessing, solution, and postprocessing were all performed automatically to facilitate a reliability-based optimization. To reduce the number of calculations, a surrogate model was adopted, in which the reliability analysis uses the first-order second-moment method and the optimization uses the particle swarm optimization method. A numerical example (the Dongshi Bridge) is given to demonstrate the methodologies proposed in the study.
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Acknowledgments
This study was supported by the National Science Council of Taiwan under Grant No. NSC 102-2221-E-011-078-MY2. The support is gratefully acknowledged.
References
ABAQUS [Computer software]. Dassault Systèmes, Waltham, MA.
ACE/HEC (Army Corps of Engineers and Hydrologic Engineering Center). (1997). HEC-RAS, river analysis system, hydraulic reference manual, Davis, CA.
Aoues, Y., and Chateauneuf, A. (2010). “Benchmark study of numerical methods for reliability-based design optimization.” Struct Multidiscip. Optim., 41(2), 277–294.
Chang, Y. L., and Chou, N. S. (1989). “Chang’s simple side pile analysis approach.” Sino-Geotech., 25, 64–82.
Cortes, C., and Vapnik, V. (1995). “Support-vector networks.” Mach. Learn., 20(3), 273–297.
Eberhart, R. C., and Kennedy, J. (1995). “A new optimizer using particle swarm theory.” Proc., IEEE Int. Symp. on Micro Machine and Human Science, IEEE, New York, 39–43.
Fu, S. L. (2012). “Analysis for laterally loaded test of the caisson foundation at Nioudou Bridge.” Master thesis, National Taiwan Univ., Taipei City, Taiwan, 48–51.
Ho-Hsien Engineering and Technology Consultants. (2011). “Geological drilling report for Dajia River.” Proc., Drilling Rep., Ho-Hsien Engineering and Technology Consultants, Taichung City, Taiwan, 3–1.
Kaymaz, I., and Marti, K. (2007). “Reliability-based design optimization for elastoplastic mechanical structures.” Comput. Struct., 85(10), 615–625.
Kennedy, J., and Eberhart, R. C. (1995). “Particle swarm optimization.” Proc., IEEE Int. Conf. on Neural Networks, IEEE, New York, Vol. 4, 1942–1948.
Ko, Y. Y., Chiou, J. S., Tsai, Y. C., Chen, C. H., Wang, H. W., and Wang, C. Y. (2014). “Evaluation of flood-resistant capacity of scoured bridges.” J. Perform. Constr. Facil., 61–75.
Li, F., Wu, T., Hu, M., and Dong, J. (2010). “An accurate penalty-based approach for reliability-based design optimization.” Res. Eng. Des., 21(2), 87–98.
Liang, J. H., Mourelatos, Z. P., and Nikolaidis, E. (2007). “A single-loop approach for system reliability-based design optimization.” J. Mech. Des., 129(12), 1215–1224.
Liao, K. W., and Lu, H. (2012). “A stability investigation of a simulation- and reliability-based optimization.” Struct Multidiscip. Optim., 46(5), 761–781.
Liao, K. W., Lu, H. J., and Wang, C. Y. (2015). “A probabilistic evaluation of pier-scour potential in the Gaoping River Basin of Taiwan.” J. Civ. Eng. Manage., 21(5), 637–653.
Liao, K. W., Muto, Y., Chen, W. L., and Wu, B. H. (2016). “A probabilistic bridge safety evaluation against floods.” SpringerPlus, 5(783), 1–19.
Lin, C., Bennett, C., Han, J., and Parsons, R. (2015). “Effect of soil stress history on scour evaluation of pile-supported bridges.” J. Perform. Constr. Facil., 04014178.
Motta, R. S., and Afonso, S. M. B. (2016). “An efficient procedure for structural reliability-based robust design optimization.” Struct. Multidiscip. Optim., 54(3), 511–530.
NCDR (National Science and Technology Center for Disaster Reduction). (2010). “Disaster survey and analysis of Morakot typhoon.” Proc., Morakot Typhoon Survey Rep., National Science and Technology Center for Disaster Reduction, Taipei, Taiwan, 347.
Ni, S.-H., Huang, Y. H., and Lo, K. F. (2012). “Numerical investigation of the scouring effect on the lateral response of piles in sand.” J. Perform. Constr. Facil., 320–325.
Pan, G. L. (2007). General principle on engineering geology, Wu-nan Books, Taipei, Taiwan, 244.
Shan, S., and Wang, G. G. (2008). “Reliable design space and complete single-loop reliability-based design optimization.” Reliab. Eng. Syst. Saf., 93(8), 1218–1230.
Suykens, J. A. K., Gestel, T. V., Brabanter, J. D., Moor, B. D., and Vandewalle, J. (2002). Least squares support vector machines, World Scientific, Singapore, 71–76.
Wardhana, K., and Hadipriono, F. C. (2003). “Analysis of recent bridge failures in the United States.” J. Perform. Constr. Facil., 144–150.
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Published In
Journal of Performance of Constructed Facilities
Volume 32 • Issue 1 • February 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Oct 26, 2016
Accepted: Jul 12, 2017
Published online: Nov 13, 2017
Published in print: Feb 1, 2018
Discussion open until: Apr 13, 2018
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