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The Information Relativity Analysis Among Technology Economic And Environment Indicators Of RC Beams Based On Big Data

Posted on:2018-09-16Degree:MasterType:Thesis
Country:ChinaCandidate:W J ZhangFull Text:PDF
GTID:2322330512480146Subject:Civil engineering
Abstract/Summary:PDF Full Text Request
Bridges' sustainable development includes reliability,environmental impact and cost,and it needs balance among safety,environmental benefits and cost effectiveness.At present,there is no enough study about the reliability of bridges,and the factors affecting the reliability of bridges are not clear enough.Environmental impact assessment and cost analysis of bridges only focus on single case.Further more,the sustainability study on bridge from the perspective of reliability,environmental impact and cost based on big data is still blank.In view of the above problems,this paper studies information relevance among the reliability,environmental impact and cost of bridge beams based on the theory of sustainable evaluation of bridges and big data.By combining Monte Carlo simulation method and JC method,this paper calculates the reliability of bridge beams.The endpoint damage model of ecological index method is used for environmental impact analysis of bridge beams at production and construction stage.Based on the environmental cost calculation model,this paper analyzes the cost of production and construction stage of bridge beams by considering bridge construction equipment costs,labor costs,preparation fees and materials costs.In this paper,the Maximal Information Coefficient(MIC)of big data processing method is introduced to analyze the relevance information among 8 dimension parameters,environmental impact of three categories and cost of bridge beams based on big data.The main work as follows:(1)By changing parameters of bridge beams,the design of the 20000 group of new bridge beams is carried out.By introducing large uncertainty factors and the limit state function of the bridge beams,Monte Carlo numerical simulation method and JC method are used to evaluate and analyze the distribution situation for the reliability index of bridge beams based on big data.Results show that the reliability index of bridge beams is normal distribution.This paper also applies principal component analysis method to analyze the influencing factors of the reliability index of bridge beams.(2)Based on defining the purpose and scope of environmental impact assessment of bridge beams,the life cycle inventory is calculated.By using the endpoint damage model of ecological index method,the environmental impact of bridge beams at production and construction stage and its influencing factors are analyzed based on big data.(3)In the process of bridge life cycle cost calculation,material costs,labor costs,equipment costs and preparation cost for large data sets of bridge beams are analyzed,the environmental cost calculation based on the life cycle inventory of environmental impact assessment is also discussed.In the end,the cost analysis model of bridge beams is formed based big data,and the cost structure and influencing factors are investigated.Through analysis and calculation,it is found that the environmental cost is the largest proportion in the cost of bridge production and construction.(4)Because of the plenty of index information of bridge beams based on big data,the Maximum Information Coefficient(MIC)of big data processing method is introduced,and the information relevance of 8 dimension parameters,environmental impact of three categories and cost of bridge beams based on big data are analyzed.It is found that when the cost of the bridge construction is constant,the biggest environmental impact range is resource and energy damage,and then is ecosystem damage,the last is human health damage.When the height of beam is constant,the biggest environmental impact range is resource and energy consuming,and then is ecosystem damage,the last is human health damage.when the bridge span is constant,the biggest environmental impact range is resource and energy consuming,and then is ecosystem damage,the last is human health damage.
Keywords/Search Tags:reliability, environmental impact assessment, life cycle cost, big data, the maximal information coefficient
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