Compaction And Fatigue Response Analysis Of Asphalt Mixture Based On Real-time Monitoring Wireless Intelligent Sensor Technology

The life cycle of asphalt pavement mainly includes two stages: construction and service.At present,the control of pavement compaction quality by the construction personnel on site is mainly through the experience judgment and the lossy or non-destructive testing means after the compaction is completed,lacking the understanding of the internal compaction mechanism of asphalt mixture.In addition,the current detection of asphalt pavement diseases mainly focuses on the detection of road surface diseases,but cannot detect the damage condition inside the pavement structure.However,compaction and service as an organic whole,there is no practical method for both compaction quality control and damage monitoring inside the asphalt pavement structure.Therefore,in this paper,the development of Smart Rock is carried out from the motion characteristics of asphalt mixture during compaction and service,and the development process of compaction degree and the decay process of fatigue performance of pavement structure during service are characterized by the motion characteristics of aggregates.Firstly,this paper developed a Smart Rock with three-axis acceleration sensor and wireless transmission technology as the core of monitoring indexes,and conducted a series of tests on the transmission performance of Smart Rock under different working conditions,preferably selected a Smart Rock encapsulation shell material suitable for asphalt mixture compaction,and tested its adhesion performance with asphalt to meet the requirements of the regulations.Convex polyhedra(round shape)were used as the best appearance feature of the Smart Rock to simulate aggregate movement.An oven-heated Smart Rock recycling process was determined,and the stress behavior of Smart Rock in asphalt mixtures was analyzed by PFC 3D software,showing that large particle size differences caused stress concentration at Smart Rock.Secondly,the displacement of coarse aggregates in asphalt mixture at different compaction depths during compaction under different influencing factors was studied based on X-Ray CT nondestructive scanning technology to obtain the common motion characteristics of aggregates in asphalt mixture under different influencing factors,so as to determine the best burial position of Smart Rock at the active and passive compaction parts of SGC specimens.Then,the correlation analysis of the compaction condition of the asphalt mixture was carried out based on the motion characteristics(angles)of the smart aggregates during compaction.The three-stage change of asphalt mixture compaction is characterized by the relative corner accumulation rate,and the relative corner accumulation rate is proposed as a monitoring index to control the compaction state.It is also clarified that the Smart Rock developed in this paper are not applicable to the compaction monitoring of large grain asphalt mixes.Finally,by analyzing the motion response of SCB specimens at different positions under fatigue loading,the correlation between aggregate motion characteristics and vertical deformation of asphalt mixture specimens under fatigue loading is established,and the fatigue performance monitoring method of asphalt mixture based on Smart Rock motion characteristics is proposed,and the x-axis angular accumulation rate is preferred as the long-term performance monitoring index of the pavement.The accuracy and wide applicability of using the angular accumulation rate as the fatigue monitoring index were also verified with AC-16 asphalt mixture.