DocumentCode :
3354766
Title :
Multi-objective optimization to the maintenance plan of bridge concrete structure based on Life Cycle Cost
Author :
Liming, Han ; Zhihong, Qie ; Xinmiao, Wu ; Lei, Liu ; Wenchao, Zheng
Author_Institution :
Urban & Rural Constr. Coll., Agric. Univ. of Hebei, Baoding, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
5070
Lastpage :
5073
Abstract :
In this paper, A new method basing on the Life Cycle Cost(LCC) theory is introduced to optimize concrete bridge maintenance plan. Taking concrete structure of bridge as example and considering various factors, such as external environment, load and structure material,deterioration process of bridge structure is analyzed and predicted. In addition, multi-objective optimization model with maintenance method of the structures and the corresponding time interval as optimization variables, while minimization of LCC and deterioration rate and maximization of service life as optimization objectives is put forward. The improved NSGA-II (GNSGA-II) is adopted to solve the optimization model. Both for maintenance management to completed projects and formulation of maintenance plan to new project, this model can make cost analysis and optimization for effective utilization and saving social fund.
Keywords :
bridges (structures); concrete; life cycle costing; maintenance engineering; optimisation; GNSGA-II; bridge concrete structure; bridge structure; concrete bridge maintenance plan; deterioration process; deterioration rate; external environment; life cycle cost theory; load; maintenance management; minimization; multiobjective optimization model; service life; structure material; Bridges; Concrete; Cost function; DNA; Design optimization; Educational institutions; Optimization methods; Sorting; Strontium; Water resources; Bridge; Genetic Arithmetic; Life cycle cost; Multi-Objective Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5535973
Filename :
5535973
Link To Document :
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