Intelligent system and method for predicting rut depth of asphalt pavement

Abstract

The invention provides an intelligent system for predicting the rut depth of an asphalt pavement, and relates to the technical field of road engineering. Theintelligent system comprises a traffic axle load measuring device, a pavement structure temperature measuring device, a pavement rut depth measuring device and a pavement data processing device. The invention also provides a method for predicting the rut depth of the asphalt pavement, which comprises the following steps: preparing an experimental sample, establishing an asphalt mixture dynamic modulus calculation model by using a uniaxial compression dynamic modulus test, determining the asphalt mixture dynamic modulus of each structural layer, and determining the rut depth of the asphalt mixture of each structural layer by using a rut test; establishing a pavement structure rut depth calculation model by layering and calculating the top vertical pressure stress of each layer in an asphalt layer, obtaining the rut depth in an observation period, calibrating the rut depth with a measured value, establishing a pavement structure rut depth prediction model, and predicting the rut depth of the pavement structure. According to the system and method, the rut depth of the pavement structure is predicted, and a basis is provided for design and maintenance of the pavement structure.

Description

technical field [0001] The invention relates to the technical field of road engineering, in particular to an intelligent system and method for predicting the rutting depth of asphalt pavement. Background technique [0002] The prediction of pavement service performance is a key link in the construction of smart expressways, and the on-site demand is urgent. As one of the main factors that damage asphalt pavement, rutting seriously affects the service performance of asphalt pavement. At present, the research on the rutting service performance of asphalt pavement is still in the data collection stage, that is, the basic data of asphalt pavement service performance such as vehicle speed, axle load, and pavement structure temperature are collected by setting up relevant equipment, and the use of the collected asphalt pavement service performance has not yet been involved. The basic data reflect the service performance of pavement rutting and predict the service performance of p...

AI Technical Summary

Problems solved by technology

At present, the research on the rutting service performance of asphalt pavement is still in the data collection stage, that is, the basic data of asphalt pavement service performance such as vehicle speed, axle load, and pavement structure temperature are collected by setting up relevant equipment, and the use of the collected asphalt pavement service performance has not yet been involved. The basic data reflect the service performance of pavement rutting and predict the service performance of pavement rutting, resulting in a large amount of basic data of asphalt pavement service performance being idle, which cannot provide a strong scientific basis for pavement structure design and maintenance decisions of asphalt pavement

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