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Study On Construction Machinery Configuration Simulation System Of Highway/Railway Earthwork

Posted on:2015-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:H LiuFull Text:PDF
GTID:2272330434453420Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
Highway/Railway Earthwork is an important work in highway and railway engineering, the deployment of construction equipment can directly affect the schedule and economic benefits of this project. Therefore, it is a significant topic about optimal deployment of construction equipment, because research to it not only has very good theory significance, but also has very big usability.Based on previous studies, this paper chooses the construction equipment in earthwork as the research object, and build the optimal deployment model of construction equipment in earthwork. This system can be divided into two sub systems:earthwork loading subsystem and mechanical deployment evaluation subsystem.The concrete research work and achievement in this paper are as follows:Firstly, on the basis of analyzing the characteristic of loading system in earthwork, the earthwork procedure simulation model is built using queuing theory. Through the operation of this model can receive index of the scheme such as total time, total cost, etc.Secondly, construct deployment model by utilizing multi-objective and take time-cost goal as its evaluation function, which can calculate the evaluation value of each scheme.Thirdly, utilize multi-objective particle swarm optimization algorithm to solve the model, and an example is examed which can prove this algorithm not only is effective, but also can offer many kinds of schemes.Finally, on the basis of analyze the characteristic of Matlab and Visual C++, we combine the powerful ability of data processing and analysis of Matlab and the object-oriented visual programming capability of Visual C++effectively, which can greatly improve the efficiency of the system.
Keywords/Search Tags:earthwork loading system, multi-objective optimization, particle swarm algorithm, time-cost model
PDF Full Text Request
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