| In many industries in China,industrial plants have long been used in various complex environments such as high temperature,corrosion,and dynamic loads.The phenomenon of overload service is not uncommon.In addition,safety management is not in place,and it is easy to cause the reliability level of the plant structure to gradually decrease due to the decline of its resistance performance.In order to ensure the safe use of the plant,it is necessary to assess the level of reliability.At present,the standard for the reliability appraisal of industrial buildings in China is mainly the "Evaluation Standard for Industrial Building Reliability"(GB 50144-2008).The standard analyzes the reliability of industrial plant structure and classifies the reliability level from three levels:component,structural system and identification unit.This method is easy to understand,simple to operate,and convenient for wide application in engineering.However,the differences in the degree of influence of different components on the reliability of the structural system are not sufficiently considered,and the evaluation results are also lack of quantitative reflection.Aiming at these problems,this paper takes the grey clustering analysis method as the framework,and comprehensively applies the analytic hierarchy process(AHP),membership function and asymmetric closeness method to propose a comprehensive reliability assessment method for the upper load-bearing structural system of single-story industrial buildings.(1)GB 50144-2008 divides the reliability assessment of the upper load-bearing structural system of industrial plants into two parts:safety and usability assessment.The safety assessment includes structural load-bearing function assessment and structural integrity assessment,the usability assessment includes service condition and structural horizontal displacement assessment.Therefore,this paper adopts the bearing function,structural integrity,use status,and structural horizontal displacement as the clustering indicators of gray cluster analysis,and respectively determines the gray class classification standard,which can be adapted to the facilitate engineering application.(2)The grey clustering analysis method uses the weighted average method to calculate the clustering weight of each clustering index.The results obtained are inconsistent with the provisions of the standard.In order to solve this problem,this paper uses the AHP,combined with the standard regulations and engineering experience,to calculate the weighting coefficient of each clustering indicator.At the same time,this paper uses the AHP to calculate the weight coefficient of the components and comprehensively evaluate the bearing function level,which can more fully reflect the difference in the influence degree of different positions and different types of components on the bearing function.(3)This paper introduces the membership function to calculate the membership degree of the whitening number assigned to each clustering index to different gray class levels.Compared with the whitening function commonly used in gray clustering analysis,the results are more reasonable.(4)In this paper,the asymmetric closeness algorithm is used to calculate the closeness of the ideal target corresponding to each cluster of reliability levels,and then the reliability level is evaluated.Compared with GB 50144-2008,the reliability of the structural system can be more comprehensively and quantitatively reflected.Finally,this paper takes a single-layer industrial workshop in Taiyuan as an example,and uses the standard and the method of this paper to evaluate the reliability of the upper load-bearing structure.By comparing the evaluation results of the two methods,the method is proved to be highly feasible. |
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