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CN-121980865-A - Intelligent detection method for pavement damage of interlocking precast blocks based on vehicle-road coupling

CN121980865ACN 121980865 ACN121980865 ACN 121980865ACN-121980865-A

Abstract

The invention relates to the technical field of detection of pavement damage of an interlocking precast block, in particular to an intelligent detection method of pavement damage of the interlocking precast block based on vehicle-road coupling, which comprises the steps of firstly constructing an electric bicycle-pavement-roadbed coupling dynamics model and a finite element model, combining pavement structural parameters and vehicle power parameters, and collecting vibration response signals when a vehicle runs; the invention fills the blank in the field of detection of the pavement damage of the interlocking precast block, overcomes the defects of manual dependence, low precision and the like of the traditional method, obviously improves the detection automation and intelligent level, reduces the detection cost and provides accurate decision support for municipal road maintenance.

Inventors

  • ZENG QING
  • DUAN ZHONGDONG
  • LI BO
  • CUI XIZHONG
  • JI HONGCHENG
  • PAN MEIJUAN

Assignees

  • 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院)

Dates

Publication Date
20260505
Application Date
20260126

Claims (10)

  1. 1. The intelligent detection method for the pavement damage of the interlocking precast block based on the vehicle-road coupling is characterized by comprising the following steps of: step 1, constructing an electric bicycle or bicycle-pavement-roadbed coupling dynamics model and a finite element model, and acquiring vibration response signals when a vehicle runs by combining road surface structural parameters and vehicle power parameters; And 2, establishing a mapping model of dynamic response data and damage conditions based on the multi-layer perceptron, and realizing qualitative and quantitative identification of the damage type and damage degree of the sidewalk after training.
  2. 2. The intelligent detection method for pavement damage of the interlocking precast block based on vehicle-road coupling according to claim 1, wherein in step 1, the construction process of the coupling dynamics model is as follows: the electric bicycle or bicycle-pavement-roadbed coupling power system is divided into an electric bicycle or bicycle subsystem and a pavement-cushion-base layer-roadbed subsystem, interaction of the two subsystems is realized by adopting a tire point contact model, and a power interaction model is established.
  3. 3. The intelligent detection method for pavement damage of interlocking precast blocks based on vehicle-road coupling according to claim 1, wherein in step 1, the construction process of the finite element model comprises the following steps: The method comprises the steps of dividing structural layers of the pavement, setting contact relation among the structural layers, simulating joints of precast blocks by adopting spring units, contact units or solid materials, and dividing grids.
  4. 4. The intelligent detection method for pavement damage of interlocking precast blocks based on vehicle-road coupling according to claim 1, wherein in step 1, the vibration response signal includes one or more of acceleration, displacement, speed, spectral energy and time-frequency response.
  5. 5. The intelligent detection method for pavement damage of interlocking precast blocks based on vehicle-road coupling according to claim 1, wherein in step 1, the pavement structure parameters include material parameters, geometric dimensions, splicing mode, supporting rigidity and pavement evenness of the precast blocks; the vehicle dynamic parameters comprise moving load size, running speed, suspension system rigidity and damping parameters.
  6. 6. The intelligent detection method for pavement damage to interlocking precast blocks based on coupling of vehicles according to claim 1, wherein in step 2, the damage type includes one or more of loosening, warping, cracking, breaking and local subsidence.
  7. 7. The intelligent detection method for pavement damage of the interlocking precast block based on vehicle-road coupling according to claim 1, wherein in the step 2, the damage degree is divided into four stages, namely stage I, stage II, stage III and stage IV; Wherein, the grade I is perfect, the grade II is slight injury, the grade III is moderate injury, and the grade IV is severe injury.
  8. 8. The intelligent detection method for pavement damage of the interlocking precast block based on vehicle-road coupling according to claim 2, wherein the coupling dynamics model establishes a vibration equation based on a D' Alembert principle, and the vibration equation is solved by adopting a Wilson-theta method.
  9. 9. The intelligent detection method for pavement damage of the interlocking precast block based on vehicle-road coupling according to claim 1, wherein in the step 2, a loss function of the mapping model adopts a mixed form of weighted cross entropy and mean square error, and parameter optimization is performed through an error back propagation algorithm in the training process.
  10. 10. The intelligent detection method for pavement damage of interlocking precast block based on vehicle-road coupling according to claim 3, wherein the structural layer of the finite element model comprises a precast block pavement, a sand cushion, a base layer and a roadbed, and the thickness of the roadbed is not less than 2m.

Description

Intelligent detection method for pavement damage of interlocking precast blocks based on vehicle-road coupling Technical Field The invention relates to the technical field of detection of pavement damage of interlocking precast blocks, in particular to an intelligent detection method of pavement damage of the interlocking precast blocks based on vehicle-road coupling. Background At present, the method for identifying road damage based on vehicle vibration response signals in the prior art is used for judging whether a crack, a pit or an uneven area exists on a road surface by analyzing acceleration response of a vehicle in the running process, but an evaluation system is established on the basis of a continuous medium road structure and is only suitable for motor vehicle lane road surfaces. Along with the change of urban traffic demand, electric bicycle and bicycle become important choices for citizen's trip, take Shenzhen city as an example, the electric bicycle is kept more than motor vehicle, and because of urban road planning history reasons, the arrangement rate of non-motorized road is far lower than first line city level, the non-motorized road of majority road is set up with the pavement jointly, lead to a large amount of overweight electric bicycle, bicycle and pedestrian to mix, the high-flow driving load and the overspeed overload condition of electric bicycle surpass pavement design and expect for the pavement of interlocking prefabricated section pavement frequently takes place different degree destruction during service. However, the structural form, the connection mode and the supporting characteristic of the interlocking precast block pavement are greatly different from those of the traditional motor vehicle lane, so that the vibration response rule of the interlocking precast block pavement is different from that of a continuous medium pavement, and the existing detection method based on the vibration response of the vehicle cannot accurately identify the damage or the quantized damage degree of the pavement. The existing detection method for road surface damage is mainly concentrated on motor lanes such as asphalt pavement, cement concrete pavement and the like, common means comprise pavement evenness detection methods, computer vision recognition methods, vibration response detection methods and the like, various problems generally exist, the application range of the existing vibration response detection methods is limited, the theoretical model and evaluation standards of the existing vibration response detection methods are mainly aimed at continuous structure pavement of asphalt and concrete, the existing vibration response detection methods are difficult to directly apply to interlocking precast block pavement formed by splicing discrete blocks, the detection precision is insufficient, the problems of high subjectivity, low efficiency and low precision exist due to the fact that the detection of a pavement is dependent on manual inspection or vision judgment, the unified standards are lacking, the current method is not capable of establishing a reliable mapping relation between vibration signals and road damage degree due to the fact that the pavement is not uniform damage recognition standards and evaluation models based on power response, the existing researches often neglect power interaction between light vehicles (such as electric bicycles and pavement), the effect is very important to influence on the fact that the existing stage is lack of the pavement damage of a precast block which can be combined with the driving characteristics of a light precast block, and the existing pavement is not suitable for the development of the existing method for the development of the intelligent pavement based on the characteristics of the interlocking block structure of the present pavement. Disclosure of Invention The invention aims to provide an intelligent detection method for pavement damage of an interlocking precast block based on vehicle-road coupling, which aims to solve the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: An intelligent detection method for pavement damage of an interlocking precast block based on vehicle-road coupling comprises the following steps: step 1, constructing an electric bicycle or bicycle-pavement-roadbed coupling dynamics model and a finite element model, and acquiring vibration response signals when a vehicle runs by combining road surface structural parameters and vehicle power parameters; And 2, establishing a mapping model of dynamic response data and damage conditions based on the multi-layer perceptron, and realizing qualitative and quantitative identification of the damage type and damage degree of the sidewalk after training. In the step 1, the construction process of the coupling dynamics model is as follows: the electric bicycle or bicycle-pavement-roa