Design And Maintenance Scheme Optimization Of Hydrulic Structure Basing On Life Cycle Cost Theory

As basic industry of our country, hydraulic engineering produces tremendous economic and social effect for the steady progress of national economy and society. In order to further develop hydroelectricity energy, realize reasonable allocation of water resource and perfect flood control systems, a large number of hydroelectric power projects need to be constructed. Maintenance to already running project and construction of new projects all need enormous investment. For the snake of saving and making effective use of social fund, cost analysis and optimization in the decision-making stage are necessary. In this paper, life cycle cost theory is applied in the fields of design and maintenance to hydraulic engineering. The purpose of this study is to optimize design and maintenance scheme in order to reduce the total life cycle cost of hydro-structure. Therefore the main content of this paper is summarized as follows:(1) Application and practical models research of life cycle cost theory in the field of engineering.(2) Provide a method to establish appraisal index system of hydro-structure's degradation degree regarding structure reliability as appraisal standard, and first introduce fuzzy topology analytic hierarchy process and artificial neural network model as appraisal methods.(3) Analysis and forecast to structure's degradation process is foundation of life cycle cost optimization. Because the uncertainty existing in outer circumstances, load and structural materials, so the degradation process is a stochastic process. In this paper, Marko process and Monte Carlo method is used to analysis and predict degradation process of hydro-structure.(4) Considering the small failure probability of hydro-structure, Marko chain Monte Carlo method and subset theory are combined for hydro-structure reliability analysis. This proposed method not only can simulate random variables with any distribution, but also can realize dynamic control. The method can greatly reduce sample simulation times on the premise of the simulation precision remain unchanged.(5) Build design optimization model of hydro-structure basing on life cycle cost theory, and particle swarm optimization method is introduced to optimize design scheme.(6) Build maintenance scheme optimization model of hydro-structure basing on life cycle cost theory, and provide an improved NSGA-II arithmetic considering the model's multi-objective and multi-constraint character.