Porous asphalt pavement flying disease detection method based on noise signal identification

A noise signal and asphalt pavement technology, applied in the field of porous asphalt pavement flying disease detection, can solve the problems of difficult judgment, slow processing speed, large amount of data, etc., and achieve the effect of ensuring precision, high accuracy and fast detection speed

Pending Publication Date: 2020-10-09
RES INST OF HIGHWAY MINIST OF TRANSPORT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is still a lack of effective methods at home and abroad for automatic detection of the on-site scattering of porous asphalt pavement and identification of the degree of scattering disease, which is basically based on manual judgment, or analysis and research from the perspective of appearance changes
Since the damage is mainly caused by the change of the three-dimensional structure of the surface caused by the sheddin

Method used

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  • Porous asphalt pavement flying disease detection method based on noise signal identification
  • Porous asphalt pavement flying disease detection method based on noise signal identification
  • Porous asphalt pavement flying disease detection method based on noise signal identification

Examples

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Embodiment 1

[0024] In this embodiment, the drainage asphalt pavement of Jiangsu Coastal Expressway (G15) is taken as an example to illustrate the detection method of the present invention. The coastal highway drainage asphalt pavement was built in 2005. It is a porous asphalt pavement. The mixture type of the pavement is PAC-13 drainage asphalt mixture. The porosity of the porous asphalt pavement is greater than 14% when it is newly built. The pavement had not undergone maintenance and treatment before 2017. In this example, the porous asphalt pavement spatter damage detection method based on tire / pavement noise signal recognition was used to compare and analyze the spatter damage of different lanes and different locations of the lane.

[0025] The detection method of porous asphalt pavement scattering disease based on noise signal recognition adopted in this embodiment includes the following steps:

[0026] (1) Tire / road surface noise signal collection: adopt the standard "Measurement of...

Embodiment 2

[0044] Taking Jiangsu Huaixu Expressway (G2513) double-layer drainage asphalt pavement section as an example, the detection method of the present invention is described. The double-layer drainage asphalt pavement of Huaixu Expressway was built in 2016. It is a porous asphalt pavement. The mixture type is 3cm PAC-10 plus 4cm PAC-13 drainage asphalt mixture, and the surface layer is PAC-10 Asphalt mixture layer, the porosity of the porous asphalt pavement is greater than or equal to 14% when newly built. In this embodiment, the detection and analysis of the degree of scattering damage of the surface layer of the double-layer porous asphalt pavement is carried out through the porous asphalt pavement scattering disease detection method based on tire / pavement noise signal recognition.

[0045] The main steps are the same as in Example 1 and will not be repeated. The output results are shown in Table 4. It can be judged from the table that the proportion of scattering damage on th...

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Abstract

The invention provides a porous asphalt pavement flying disease detection method based on noise signal identification. The porous asphalt pavement flying disease detection method comprises the following steps: (1) tire/pavement noise signal acquisition: completing acquisition of tire/pavement noise of a porous asphalt pavement to be detected by adopting a close-range method; (2) feature signal extraction: setting an analyzed unit distance length, performing noise reduction processing and spectrum conversion on a noise signal extracted on site, and performing feature extraction on the processednoise signal; and (3) calculating a flying disease detection result: inputting the signal characteristics obtained in the step (2) through a flying damage degree discrimination model to obtain a flying damage percentage and a flying damage degree in a unit distance. According to the porous asphalt pavement flying damage detection method based on noise signal recognition, accurate, rapid and intelligent testing of the porous asphalt pavement flying damage degree is achieved, and a decision basis is provided for selection of the maintenance opportunity and the maintenance technical scheme of the special pavement structure.

Description

technical field [0001] The invention belongs to the field of road engineering, and in particular relates to a detection method for porous asphalt pavement scattering disease based on tire / road surface noise signal recognition. Background technique [0002] The large void structure of porous asphalt pavement realizes the functions of pavement drainage and noise reduction, but correspondingly, this structural feature also makes it prone to specific diseases. The contact area between the aggregate particles of porous asphalt pavement is small, so that the contact force between the particles is large when the load is applied, which leads to the failure of the adhesive force between the aggregate and the asphalt or the fracture of the mortar under the repeated action of the traffic load. The phenomenon of falling off and falling particles of coarse aggregate is caused, which is called "scattering disease". Once a local disease occurs on the porous asphalt pavement, the subsequen...

Claims

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Application Information

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IPC IPC(8): E01C23/01G01H17/00G01N19/00G06K9/00
CPCE01C23/01G01N19/00G01H17/00G06F2218/08
Inventor 李明亮李俊袁旻忞
Owner RES INST OF HIGHWAY MINIST OF TRANSPORT
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