Intelligent system and method for predicting pavement low-temperature cracking

An intelligent system and technology for pavement cracks, applied in the direction of applying stable tension/pressure to test material strength, special data processing applications, optical testing flaws/defects, etc., can solve the problem of inability to guarantee road vehicle driving safety and quantitative prediction of low temperature crack In order to reduce the number of periodic reconstruction and maintenance, improve traffic efficiency and service ability, and ensure smooth operation

Active Publication Date: 2022-02-25
SHANDONG HI SPEED GRP CO LTD +2
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AI Technical Summary

Problems solved by technology

As an important parameter to describe the degree of low-temperature cracking of pavement, the crack length of pavement low-temperature cracking is an important basis for predicting the low-temperature cracking of pavement. It involves using the collected pavement service performance basic data to predict the low-temperature cracking of the pavement, resulting in a large amount of pavement service performance basic data being idle, and it is impossible to quantitatively predict the low-temperature cracking of the pavement structure in low-temperature weather such as cold waves, so that road vehicles cannot be guaranteed driving safety

Method used

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  • Intelligent system and method for predicting pavement low-temperature cracking
  • Intelligent system and method for predicting pavement low-temperature cracking
  • Intelligent system and method for predicting pavement low-temperature cracking

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Embodiment 1

[0089] In this embodiment, taking the asphalt pavement of expressways in Jinan, Shandong Province as an example, an experimental road section is selected on the expressway, and a method for predicting the length of cracks of pavement cracking at low temperature proposed by the present invention is used to predict the length of cracks in the experimental road section, which specifically includes the following steps :

[0090] Step 1. Select the asphalt pavement to be predicted. The pavement structure of the experimental road section is as follows: figure 1 As shown, the pavement structure is sequentially provided with asphalt layer, granular material layer and roadbed from top to bottom, and the total thickness of the asphalt layer The thickness of the granular layer is 180mm, and the thickness of the granular material layer is 34cm, which is paved with 34cm graded gravel.

[0091] The asphalt layer of the pavement structure has three structural layers from top to bottom, whi...

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Abstract

The invention provides an intelligent system for predicting pavement low-temperature cracking, which belongs to the technical field of road engineering and comprises a pavement structure temperature measuring device, a pavement crack observation device and a pavement data processing device. The invention also provides a method for predicting the low-temperature crack length of the pavement, which comprises the following steps: preparing an experimental sample, determining the creep compliance and creep rate of an asphalt mixture in each structural layer by using an indirect tensile test, setting an observation period, layering the asphalt layer, and according to the internal temperature and pavement structural parameters of each layer, after the stress borne by the crack tip in each sub-observation period is calculated by utilizing finite element software, determining a predicted value of the low-temperature crack depth based on a pavement structure low-temperature crack depth calculation model, and predicting the length of the low-temperature crack by combining a pavement structure low-temperature crack length prediction model, prediction of the low-temperature cracking condition of the pavement structure is achieved, early warning of low-temperature cracking of the pavement structure can be achieved in advance, and the safety of pavement driving is guaranteed.

Description

technical field [0001] The invention relates to the technical field of road engineering, in particular to an intelligent system and method for predicting low-temperature cracking of road surfaces. 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. Pavement low-temperature cracking is one of the main factors that damage asphalt pavement, which seriously affects the pavement performance of asphalt pavement. As an important parameter to describe the degree of low-temperature cracking of pavement, the crack length of pavement low-temperature cracking is an important basis for predicting the low-temperature cracking of pavement. It involves using the collected pavement service performance basic data to predict the low-temperature cracking of the pavement, resulting in a large amount of pavement service performance basic data being idle, and it is impossible to quan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G16C60/00G01N3/18G01N21/95G06F119/08G06F119/14
CPCG06F30/23G16C60/00G01N3/18G01N21/95G06F2119/08G06F2119/14
Inventor 周勇韩文扬王林韦金城马士杰吕思忠
Owner SHANDONG HI SPEED GRP CO LTD
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