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Study On Multi-objective Optimization And Multiple Attribute Decision Making For High Arch Dam Construction Simulation

Posted on:2015-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:P ChengFull Text:PDF
GTID:2322330485491802Subject:Hydraulic engineering
Abstract/Summary:PDF Full Text Request
Concrete high arch dam usually located in areas of steep terrain,deep-cutting valley and complex geological conditions,with the limited space resources,so it is not conducive to arrange transportation and construction site. According to the difference of topographical and geological features,construction scale and concrete pouring strength of high arch dam,there can be several construction schemes available,and the different construction schemes are quite different to ensure the construction schedule, construction quality and construction organizations. For the same construction scheme,since the dam is usually divided into many blocks for pouring,concreting sequencing method will affect and restrict the progress and balance of construction.So how to take the factors that affect the construction of high arch dam into account, optimize concreting sequencing method of the dam blocks, and accomplished optimization and comparison of several construction schemes,at last obtain a comprehensive multi-objective optimal construction program and concreting sequencing method,it is an important problem facing high arch dam design and construction phase.The present methods are mostly based on experience or mathematical analysis of attribute value of the dam blocks to formulate the concreting sequencing rules,which unable to effectively solve multi-objective optimization problems. In addition, the evaluation method can't reflect the relationship overall between each scheme and ideal scheme in the existing construction scheme comparison study. The evaluation parameters of each scheme is only one and not necessarily the optimal parameters of each construction scheme can obtain, which influence the accuracy of evaluation results.In this paper,the multi-object optimization and multi attribute decision making of the high arch dam construction simulation is studied. Through the detailed analysis of pouring block selection principle of high arch dam,considering various factors influencing the concrete pouring,establish a multi-objective optimization model of concreting sequencing method of the high arch dam. This model with concreting sequencing scheme as variables and with the optimization of time limit,balanced of month pouring strength as the objectives,use particle swarm optimization to solve the multi-objective optimization problem,obtain concreting sequencing schemes which can get multi objective optimization.For multi-program multi-attribute decision-making problems of high arch dam,In view of the advantages and disadvantages of TOPSIS and grey correlation analysis in the solution of multiple attribute decision making problems, on the effective integration of the two method, constructed improved TOPSIS for multi-attribute decision making for high arch dam. Obtain a plurality of concreting sequencing methods for each scheme by adopting the multiple objectives optimization method for concreting sequencing above-mentioned. And get the construction parameters such as collation period,construction intensity and the utilization rate of the machine and so on of each concreting sequencing method,then accomplish the multiple attribute decision of multiple concreting sequencing method of multiple program using improved TOPSIS,improves the accuracy and comprehensiveness of the decision result.The example shows that,use particle swarm algorithm to optimize and adjust concreting sequencing scheme, the Pareto set obtained can provide multiple sequencing method for multiple construction program,The preferred construction program accomplished by improved TOPSIS can get Shorter duration and a more balanced pouring process,the result has important significance for guiding field construction.
Keywords/Search Tags:high arch concrete dam, construction simulation, concreting sequencing, Multi-objective optimization, particle swarm optimization, multiple scheme optimal selection, Improved TOPSIS
PDF Full Text Request
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