Research On The Cleaning Effect And Water Permeability Life Prediction Of Permeable Concrete Pavement

In recent years,the concept of"sponge city"has gained significant attention,leading to increased research on permeable concrete pavement.This type of pavement,which is widely used for sponge city construction,possesses numerous interconnected pores that offer high permeability,effectively mitigating urban waterlogging and other rainstorm-induced disasters.As a new material pavement,permeable concrete pavement has been gradually gaining recognition among scholars due to its strong permeable ability and potential for use in alleviating urban waterlogging and other rainstorm-induced disasters.However,in the present urban environment,there are some impurities such as dust,soil and so on,which are easy to cause the blockage of permeable concrete pavement.The pervious performance of pervious concrete pavement is attenuated due to blockage,so the cleaning and maintenance of pervious concrete pavement has become an important research direction to be widely used.In order to slow down the attenuation of pervious performance caused by road blockage,ensure the normal function of road surface and extend the pervious life of road surface,this paper conducted a test on the relationship between permeability ratio and blockage degree of pervious concrete pavement specimen by prefabricated standard pervious concrete pavement specimen,and determined the corresponding relationship between the mass of blocking material in the specimen and permeability ratio.Subsequently,according to the corresponding relationship between the plugging mass in the specimen and the permeability ratio,specimens with different degrees of blockage were selected and produced.Seven different cleaning methods were used to test the pervious velocity of the cleaned pervious concrete,calculate the change value of the permeability ratio,and determine the most effective cleaning methods corresponding to different degrees of blockage of the test pieces.The research results can slow down the blockage of pervious concrete pavement,extend the pervious life of pervious concrete pavement,and provide the best cleaning time and cleaning method for daily management and maintenance.On the basis of the above experimental results and data,this paper continues to construct the life prediction model of pervious concrete pavement based on support vector machine under different cleaning methods.According to the above test data and conclusions,the machine learning model of plug quality and pervious concrete pavement speed is obtained by SVM method.On this basis,the influence of cleaning method,cleaning time and other influencing factors on the pervious life of pervious concrete pavement is considered,and the prediction model of plug qualitypervious life is constructed.Then,according to the prediction model,the pervious life of pervious concrete pavement with different cleaning methods and different blocking state is co MPared.The conclusion shows that the cleaning method of high-pressure water gun+-17kp vacuum cleaner has the best cleaning effect,and the cleaning method of high-pressure water gun+-17kp vacuum cleaner is used to clean the specimen,and the model predicts that the permeability life of the new permeable concrete road interview piece is about 1.28×10~8s,which is about 1486 days.In summary,this paper provides a certain method and basis for daily maintenance and cleaning of pervious concrete pavement,prediction and management of pervious life.