Safety evaluation of aqueduct diseases based on IPSO-PP method
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Abstract:
To scientifically and reasonably evaluate the safety status of an aqueduct in the water diversion project operation period in northwest China,it is of great significance to put forward an objective and reliable aqueduct disease safety evaluation system and method by analyzing the influence of geology,complex environment,climate conditions and various adverse factors during the operation period of an aqueduct. On the basis of the existing aqueduct disease evaluation research,combined with the common disease problems of aqueducts in the operation period,the evaluation index system of aqueduct disease is put forward in northwest China.Thirteen aqueduct disease evaluation indexes are constructed from four aspects of material deterioration,apparent damage,structural deformation and leakage,and the judgment standards of each index are given.The safety evaluation grade of aqueduct disease is divided into four grades:A,B,C,and D.Grade A indicates that the structure has no defects that affect normal operation,and normal operation can be ensured by routine maintenance.Grade B indicates that the structure is slightly damaged and can reach normal operation after partial maintenance.Grade C indicates that the structure is seriously damaged,and the normal operation can only be achieved after overhaul.Grade D indicates that the structure is seriously damaged and needs to be scrapped,rebuilt,or reduced to standard.The projection pursuit model is used for safety evaluation,and the improved particle swarm optimization (IPSO) algorithm is used to optimize the best projection direction of the projection pursuit (PP) model.The weight of each evaluation index of aqueduct disease is calculated.Combined with the logistic curve function,the aqueduct disease safety evaluation model based on IPSO-PP is constructed,and the evaluation grade of each aqueduct disease is identified. The optimization model is used for empirical analysis by taking six typical aqueducts as the research objects.According to the value of projection direction of each index,the sensitivity factors affecting aqueduct safety,such as deflection deformation of aqueduct body,crack width,concrete strength,and concrete carbonation,are identified.The disease evaluation grade of aqueducts No.2,No.4,No.14 and No.15 are grade B.The disease grade of No.5 and No.6 aqueduct are grade C,and the evaluation results are consistent with the actual situation,which shows that the method is scientific and reasonable.The results show that IPSO is better than Particle Swarm Optimization Algorithm and Differential Evolution Algorithm,and it has strong optimization ability and better solution accuracy,and the optimization algorithm is relatively stable. Given the common diseases of aqueducts in the operation period of water diversion projects in northwest China,a complete set of safety evaluation index system of aqueduct diseases is established from four aspects of aqueduct material deterioration,apparent damage,structural deformation and water leakage,fully considering its complex geographical and climatic characteristics.Referring to the evaluation methods and theories in other related fields,the IPSO-PP aqueduct safety evaluation model based on an intelligent optimization algorithm is constructed.The established safety evaluation index system of aqueduct disease in northwest China and IPSO-PP aqueduct safety evaluation model is introduced into an example to obtain the evaluation results which are consistent with the actual situation of the project and the analysis and comparison model.It shows that the proposed safety evaluation index system and evaluation method for an aqueduct in northwest China can ensure the reliability and objectivity of the evaluation results.It provides a reference for the safety evaluation of aqueduct diseases in northwest China.
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