An intelligent system and method for predicting rutting depth of asphalt pavement

Abstract

The invention provides an intelligent system for predicting the rutting depth of asphalt pavement, which relates to the technical field of road engineering and includes a traffic axle load measuring device, a road surface structure temperature measuring device, a road surface rutting depth measuring device and a road surface data processing device. The present invention also provides a method for predicting the rutting depth of asphalt pavement, preparing experimental samples, establishing a dynamic modulus calculation model of asphalt mixture by using uniaxial compression dynamic modulus test, and determining the dynamic modulus of asphalt mixture of each structural layer, Then use the rutting test to determine the rutting depth of the asphalt mixture in each structural layer, and calculate the vertical compressive stress on the top of each layer by layering the internal layers of the asphalt layer, establish a calculation model for the rutting depth of the pavement structure, and obtain the rutting depth during the observation period and compare with it After the measured values ​​are calibrated, a pavement structure rutting depth prediction model is established to predict the rutting depth of the pavement structure. The invention realizes the prediction of the rutting depth of the pavement structure, and provides a basis for the 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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