Pavement crack development state detection method based on ground penetrating radar and coring

Abstract

The invention relates to a road engineering detection technology, and particularly relates to a pavement crack development state detection method based on a ground penetrating radar and coring. The method comprises the following steps of 1, detecting a crack to obtain a crack ground penetrating radar image; 2, performing analysis processing on the obtained ground penetrating radar image, thereby determining the type and the position of the crack; 3, carrying out drilling-for-core on the crack to obtain a core sample of a road section; and 4, carrying out measurement and observation on the obtained core sample to obtain a development state of the crack and a state of a base layer at the crack. By using the method disclosed by the invention, the road crack and the crack ''secondary disease''can be found in time, and the complete development state of the crack can be accurately detected, so that a scientific maintenance scheme can be adopted, and the situation that the pavement crack control is not timely and good can be effectively avoided; and therefore, the method has great significance for delaying heavy repair and prolonging the road service life.

Description

technical field [0001] The invention relates to road engineering detection technology, in particular to a method for detecting the development state of road surface cracks based on ground penetrating radar and coring. Background technique [0002] Cracks are one of the common pavement diseases, which have a very adverse effect on the pavement. If not treated in time, a single crack may develop into multiple crack clusters, until serious diseases such as fast cracks and network cracks are formed. Moreover, after rainwater enters the cracks, it is easy to further develop and form pits with the high-pressure scouring action of the tire load. For this reason, it is necessary to quickly and accurately obtain the type and location of cracks and crack "secondary damage" and other parameter information to provide a basis for formulating a scientific maintenance plan. [0003] Traditional pavement crack detection is based on manual visual inspection, which is slow, inefficient, and ...

AI Technical Summary

Problems solved by technology

[0003] Traditional pavement crack detection is based on manual visual inspection, which is slow, inefficient, time-consuming and laborious

However, the existing two-dimensional pavement crack detection system using pavement image acquisition technology is affected by the detection of light, shadows, etc., and the detection effect is not ideal.

The 3D pavement crack detection system suffers from data loss due to differences in reflection characteristics of pavement materials, occlusion of cracks and pavement protrusions, etc., which affects the detection effect

The above detection methods are limited to the detection of the length, width and depth of the pavement's dominant cracks, and cannot obtain the complete crack development status, let alone the development of the crack "secondary damage" inside the pavement structure

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