The Analysis Of Sustainable Assessment System Of RC Beam Based On Social Network

The bridge has consumed a lot of resources and energy in the process of construction and utilization.The implementation of sustainable development of bridge projects is an inevitable choice for future bridges.Sustainable development requires a suitably sustainable evaluation system working as the basis.It is a good idea to carry on the sustainable evaluation of bridge from the three dimensions of technology,economy and environment,but the method of sustainable bridge evaluation is still not conclusive now,and the research of evaluation indicators is very few,scientific method is needed to solve this question.Network analysis is an evaluation tool for complex systems,which can be used to study hybrid data.The information relevance of the index can be reflected more comprehensively and intuitively under network analysis,thus revealing the internal mechanism of the evaluation index,and providing a new way of thinking and perspective for the sustainable evaluation of the bridge.Based on the sustainable evaluation of bridges,this paper uses social network analysis to analyze the sustainable evaluation indicator system of bridge.Then I analyze and rank the sustainable assessment indicators of bridges by traditional statistical analysis methods,and compare the results with social network analysis results.Considering the bridge technical indicators are the basic indicator to guarantee the safety of the bridge,reliability is the probability embodiment of the bridge completion function.A social network analysis of reliability impact indicators is carried out,and three kinds of correlation coefficients(Pearson correlation coefficient.Spearman correlation coefficient?Kendall correlation coefficient)are used to analyze the reliability impact indicators.Next,these is a comparison of the results among the four kinds of computing methods.The main research in this paper include the following aspects:(1)There are 16 indicators selected as the nodes of the network on the basic of the calculation model of bridge performance,the end-point failure model of ecological indicator method and the analysis of bridge construction cost.Based on the calculation results of the bridge database,the maximal information coefficient is used to calculate the correlation between the 16 indicators and the result is taken as the relationship strength between nodes of the network.With the help of the calculation results,a social network analysis model for the sustainable evaluation system of RC beams was established,and its calculation results were analyzed and elaborated.The results show that the influence,betweenness,and closeness of economic and environmental indicators are large,while most of the technical indicators are relatively small,but the three attributes of impact coefficient and beam height are relatively high.(2)Considering that bridge technical index is the basic index to ensure bridge safety,I use 11 indicators and their MIC results to establish a social network analysis model for the reliability of RC beams and analyze the network.The results show that the impact coefficient,girder height and bridge span are the three most influential ind.icators.The reinforcement and impact coefficient of reinforcement are in good agreement with the betweenness and high closeness of beam height.(3)This paper selects five kinds of statistical methods including Principal Component Analysis,Person correlation coefficient,Spearman correlation coefficient,Kendall correlation coefficient,and MIC to analyze and sort the indicators of RC beam sustainable evaluation system,then comparing results with social network analysis results.The results show that the network analysis can show the influence of the index more comprehensively,for example,the impact coefficient,which is less connected,makes the analysis of the traditional analysis method too one-sided.(4)Through research,it is found that correlation coefficient is used as the basis of influencing factors in some bridge indicators research.In this paper,three factors,Person correlation coefficient,Spearman correlation coefficient and Kendall correlation coefficient,are used to analyze the reliability of RC beam,and the results are compared with the results of social network analysis.The four methods have found that the impact coefficient,the beam height and the bridge span are the three indexes which have a higher influence.In the network analysis,the effect of the flange thickness is obviously improved,and the influence of the reinforcement amount is obviously decreased.The phenomenon shows that flange thickness indirectly increases its importance by influencing other indicators.When we carry out the reliability control,we can adjust the parameters from these indicators including impact coefficient,beam height,bridge span and flange thickness.