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http://dx.doi.org/10.5762/KAIS.2017.18.2.254

Objective Reduction Approach for Efficient Decision Making of Multi-Objective Optimum Service Life Management  

Kim, Sunyong (Department of Civil and Environmental Engineering, Wonkwang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.2, 2017 , pp. 254-260 More about this Journal
Abstract
The service life of civil infrastructure needs to be maintained or extended through appropriate inspections and maintenance planning, which results from the optimization process. A multi-objective optimization process can lead to more rational and flexible trade-off solutions rather than a single-objective optimization for the service life management of civil infrastructure. Recent investigations on the service life management of civil infrastructure were generally based on minimizing the life-cycle cost analysis and maximizing the structural performance. Various objectives for service life management have been developed using novel probabilistic concepts and methods over the last few decades. On the other hand, an increase in the number of objectives in a multi-objective optimization problem can lead to difficulties in computational efficiency, visualization, and decision making. These difficulties can be overcome using the objective reduction approach to identify the redundant and essential objectives. As a result, the efficiency in computational efforts, visualization, and decision making can be improved. In this paper, the multi-objective optimization using the objective reduction approach was applied to the service life management of concrete bridges. The results showed that four initial objectives can be reduced by two objectives for the optimal service life management.
Keywords
Civil Infrastructure; Inspection; Maintenance; Multi-Objective Optimization; Objective Reduction Approach; Service Life;
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1 Kabir, G., Sadiq, R., Tesfamariam, S. "A review of multi-criteria decision-making methods for infrastructure management," Structure and Infrastructure Engineering, Taylor & Francis, 10(9), pp. 1176-1210, 2014. DOI: https://doi.org/10.1080/15732479.2013.795978   DOI
2 Frangopol, D. M., "Life-cycle performance, management, and optimization of structural systems under uncertainty: accomplishments and challenges," Structure and Infrastructure Engineering, Taylor & Francis, 7(6), pp. 389-413, 2011. DOI: https://doi.org/10.1080/15732471003594427   DOI
3 Zeleny, M. Multiple Criteria Decision Making, McGraw-Hill, New York, 1982.
4 Deb, K., Saxena, D. K., "Searching for Pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems," 2006 IEEE Congress on Evolutionary Computation, IEEE Press, Vancouver, BC, Canada, 2006, pp. 3353-3360, 2006.
5 Arora, J. S., Introduction to Optimum Design. 3rd edn, Elsevier, UK, 2012.
6 Brockhoff, D., Zitzler, E. "Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods," 2007 IEEE Congress on Evolutionary Computation, IEEE Press, Singapore, pp. 2086-2093, 2007. DOI: https://doi.org/10.1109/CEC.2007.4424730   DOI
7 Frangopol, D. M., Lin, K. Y., Estes, A. C. "Life-cycle cost design of deteriorating structures," Journal of Structural Engineering, ASCE, 123(10), pp. 1390-1401, 1997. DOI: https://doi.org/10.1061/(ASCE)0733-9445(1997) 123:10(1390)   DOI
8 Brockhoff, D., Zitzler, E., "Objective reduction in evolutionary multiobjective optimization: Theory and applications," Evolutionary Computation, MIT Press, 17(2), pp. 135-166, 2009. DOI: https://doi.org/10.1162/evco.2009.17.2.135   DOI
9 Chang, S. E., Shinozuka, M. ''Life-cycle cost analysis with natural hazard risk," journal of Infrastructure Systems, ASCE, 2(3), pp. 118-126, 1996. DOI: https://doi.org/10.1061/(ASCE)1076-0342(1996)2:3(118)   DOI
10 Kim, S., Frangopol, D.M., Zhu, B. "Probabilistic optimum inspection/repair planning to extend lifetime of deteriorating RC structures,." Journal of Performance of Constructed Facilities, ASCE, 25(6), pp. 534-544, 2011. DOI: https://doi.org/10.1061/(ASCE)CF.1943-5509.0000197   DOI
11 Mahmoud, H. N., Connor, R. J., & Bowman, C. A., Results of the fatigue evaluation and field monitoring of the I-39 Northbound Bridge over the Wisconsin River (ATLSS Report No. 05-04). Bethlehem, PA: Lehigh University, 2005.
12 Kim, S., Frangopol, D. M., "Cost-based optimum scheduling of inspection and monitoring for fatigue-sensitive structures under uncertainty," Journal of Structural Engineering, ASCE, 137(11), pp. 1319-1331, 2011. DOI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0000365   DOI
13 Kim, S., Frangopol, D. M., "Optimum inspection planning for minimizing fatigue damage detection delay of ship hull structures," International Journal of Fatigue, Elsevier, 33(3), pp. 448-459, 2011. DOI: https://doi.org/10.1016/j.ijfatigue.2010.09.018   DOI