Research On Rutting Deformation Monitoring Method Of Asphalt Pavement Based On Intelligent Aggregate

Asphalt pavement is the main pavement form of highway construction at present.Under the joint action of long-term vehicle load and environmental factors,asphalt pavement will gradually appear minor damage.When the damage accumulates to a certain extent,there will be serious rutting deformation of asphalt pavement,which will lead to the deterioration of highway flatness,affect the driving comfort and safety,and significantly reduce the service life of asphalt pavement.Real-time monitoring for the asphalt pavement rutting deformation problem,this paper developed the intelligent aggregate with high accuracy attitude sensors,its principle is to intelligent aggregate buried in forming plate specimens of asphalt mixture,the intelligent aggregate under load posture signal transmission evolution law,establish a rut deformation contact intelligent aggregate attitude information change.A method to correct the spatial information of structural deformation response based on the correlation between pavement deformation and the spatial state of intelligent aggregate under vehicle load accumulation is proposed.In this paper,2D cross-sectional images of real aggregates were obtained based on industrial CT scanning method.A 3D aggregate model was established by VG Studio software,and then an intelligent aggregate packaging structure model that could be used for 3D printing was obtained.The simplification algorithm of structural model was used to reduce the segmentation accuracy of the model surface and the number of triangles of the model while keeping the overall contour of the model basically unchanged.By comparing the number of mesh,simplification time and aggregate three-dimensional index before and after the simplification of the aggregate model,the appropriate simplification rate was determined to be0.1.Different materials were selected to design the packaging structure and base according to different acting environments.In order to correct the influence of packaging structure on the measurement error of intelligent aggregate,an error correction model of intelligent aggregate was proposed.In order to verify the deformation sensing ability of intelligent aggregates,the encapsulated intelligent aggregates were placed in different mixing ratios of coarse and fine aggregate particles,and the influence of rutting instrument vibration on attitude signal transmission of intelligent aggregates was analyzed.It is found that in the absence of external environment interference,the rut instrument vibration mainly concentrates on the interference frequency of the acceleration signal of intelligent aggregate measurement,and the interference frequency of the Angle signal of intelligent aggregate measurement is mainly concentrates on.For different interference frequencies,FFT band-stop filter and FFT high-pass filter are designed to eliminate the noise interference.After eliminating the interference of machine noise,the accumulation deformation of aggregate particles under the action of load is monitored.The experimental results show that different mixing ratios have an effect on the skeleton stability of coarse aggregate particles,and the more fine aggregate is mixed,the more unstable the skeleton is.Meanwhile,it shows that intelligent aggregate has the ability to perceive deformation.Based on the proof that the intelligent aggregate has the ability to perceive deformation,the intelligent aggregate is buried in the asphalt mixture rut plate specimen according to different distance,and the information of the intelligent aggregate Angle change under different rut depth is recorded at the same time when the rut specimen is loaded.Intelligent aggregate USES the grey relational analysis method research the relationship between different sensitive axis Angle information and rut depth,the study found that the belt of the wheel track parallel to the rut intelligent Angle sensitive axis change information and rut depth correlation degree is bigger,on this basis,through intelligent aggregate Angle change information to establish intelligent aggregate attitude information and rut depth.Finally,the viscoelastic parameters of asphalt mixture were obtained through uniaxial creep compression test and extended Drucker-Prager model,and the indoor rut test and intelligent aggregate numerical model were established to verify the spatial information correction method of structural deformation response related to the pavement deformation and the spatial state of intelligent aggregate.Furthermore,the numerical model of real road surface is established to provide an intelligent aggregate embedding method for subsequent research.