CN-121980666-A - Existing asphalt road structure assessment and life-prolonging scheme determination method

CN121980666ACN 121980666 ACN121980666 ACN 121980666ACN-121980666-A

Abstract

The invention discloses a method for evaluating an existing asphalt road structure and determining a life-prolonging scheme. The method comprises the steps of utilizing a three-dimensional ground penetrating radar to scan an existing road surface, combining a deep learning algorithm to identify internal diseases and calculate a structural internal condition index ISCI, determining a modulus reduction coefficient based on a dual-modulus elastic layered system theory and the ISCI, accurately evaluating the residual life of the road surface, initially selecting life-prolonging countermeasures according to the residual life and traffic load level, calculating equivalent stress and shear stress by adopting a global search method based on self-adaptive step control, carrying out multi-index checking on the fatigue life, crack spacing and permanent deformation of a scheme, and determining an optimal life-prolonging scheme through economic analysis. The invention combines nondestructive testing, mechanics theory and intelligent algorithm, and realizes quantitative evaluation of internal damage and scientific decision of life-prolonging design.

Inventors

MA HUI
ZHANG HAN
WU DONGSHENG
SHEN QIU
REN ZHONGSHAN

Assignees

江苏高速公路工程养护技术有限公司
江苏东部高速公路管理有限公司

Dates

Publication Date: 20260505
Application Date: 20251202

Claims (8)

1. A method for evaluating an existing asphalt road structure and determining a life-prolonging scheme, comprising the steps of: step S1, scanning the interior of an existing pavement structure through a three-dimensional ground penetrating radar, evaluating the internal health condition, and calculating a structure internal condition index ISCI; S2, theoretical simulation calculation is carried out through a double-modulus elastic layered system, and a modulus reduction coefficient is determined by combining the internal condition index ISCI of the structure, so that the residual life of the pavement is estimated; step S3, selecting additional paving, replacing or adding paving life-prolonging countermeasures after replacing according to the estimated residual life and the traffic load grade of the road, and providing different life-prolonging design schemes; S4, calculating equivalent stress and shear stress mechanical indexes by a global search method, and checking and calculating fatigue life, transverse crack spacing and permanent deformation under different schemes; and S5, determining a final life-prolonging scheme by carrying out economic analysis on different schemes.
2. The method for evaluating an existing asphalt road structure and determining a life-prolonging scheme according to claim 1, wherein in step S1, the three-dimensional ground penetrating radar detection method is based on a deep learning intelligent recognition algorithm, the intelligent recognition algorithm comprises: Carrying out multi-scale feature extraction on the radar image, and identifying cracks and void areas by adopting a depth separable convolution network structure; combining a three-dimensional convolution kernel and a channel attention mechanism to capture the spatial characteristics of interlayer diseases; and adopting a knowledge distillation technology to carry out light weight treatment on the model.
3. The method for evaluating an existing asphalt road structure and determining a life-prolonging scheme according to claim 1, wherein in step S1, when preprocessing data acquired by a three-dimensional ground penetrating radar, a db6 wavelet basis function is adopted to perform five-scale decomposition denoising, and an adaptive kalman filter is adopted to eliminate motion artifacts; The calculation formula of the Kalman filtering relates to the operation of the current estimated value, the Kalman gain, the current measured value and the measurement matrix.
4. The method for evaluating an existing asphalt road structure and determining a life-prolonging scheme according to claim 1, wherein in step S2, the remaining life evaluation method specifically comprises: selecting modulus reduction coefficients of the asphalt layer and the inorganic binder layer according to the standard data according to the structure internal condition index ISCI result; The method comprises the steps of obtaining direct tensile modulus and uniaxial compression modulus of an asphalt mixture through a core sample test, and determining compression modulus and tensile modulus of an inorganic binder through a dynamic modulus test; calculating equivalent stress of the least favorable point position of each structural layer based on a double-modulus elastic layered system program; reversely calculating the residual life by combining the triaxial strength parameters of the material and a fatigue normalization equation; The load intermittence effect and crack propagation rate are considered in the evaluation, and a correction coefficient is introduced.
5. The method for evaluating existing asphalt road structures and determining life-prolonging schemes according to claim 4, wherein the prediction of remaining life is based on a multi-scale fatigue damage model, comprising: The microscopic scale is that the crystal plasticity theory is adopted to simulate the damage evolution of the material; the mesoscale is that injury expansion analysis is carried out based on the representative volume unit RVE; macroscopic scale analysis was performed using modified Miner linear cumulative damage criteria.
6. The method for evaluating existing asphalt road structures and determining life-prolonging schemes according to claim 1, wherein in step S3, the life-prolonging decision is based on a multi-objective optimization algorithm: dividing the maintenance type into prevention, paving or replacement according to the residual life; high modulus or high strength asphalt is preferred for the functional surface layer, and reclaimed materials or asphalt macadam with large particle size are adopted for the structural surface layer; and determining the minimum paving thickness through iterative checking calculation.
7. The method for evaluating an existing asphalt road structure and determining a life-prolonging scheme according to claim 1, wherein in step S4, the checking method merges global search and machine learning, and specifically comprises: checking equivalent stress; checking and calculating the shear stress of the asphalt layer; Ensuring that the spacing of the transverse cracks meets the requirement; predicting the rut depth by adopting a four-point method; the cracking index was verified in combination with extremely low temperature data.
8. The method for evaluating an existing asphalt road structure and determining a life-prolonging scheme according to claim 7, wherein the global search method adopts an adaptive step control strategy to automatically adjust search point density in a stress concentration area or a high risk area, and the search step is determined according to minimum grid size and control parameters.

Description

Existing asphalt road structure assessment and life-prolonging scheme determination method Technical Field The invention belongs to the technical field of road engineering detection and maintenance, and particularly relates to a method for evaluating an existing asphalt road structure and determining a life-prolonging scheme. Background With the rapid development of the transportation industry, asphalt pavement is used as an important infrastructure for road transportation, and the service life and the service performance of the asphalt pavement are directly related to traffic safety and economic benefits. However, in the long-term operation process, under the combined action of the increasing traffic load, the changing climate environment and various external factors, various diseases such as cracks, looseness, sedimentation and the like are inevitably generated in the existing asphalt pavement structure. In order to maintain the service function of the road surface and ensure the driving safety, the existing asphalt road is usually required to be scientifically and effectively designed and maintained for prolonging the service life. However, current asphalt pavement life-prolonging designs still have a number of limitations in practical applications. Traditional evaluation methods rely mainly on manual experience judgment and relatively single detection means, such as drop hammer deflection detection, visual inspection and limited range material experiments. Most of the conventional methods focus on detection of apparent diseases and local defects of the pavement, are difficult to deeply explore and comprehensively reflect the real health state and potential risks in the pavement structure, so that the acquisition of basic data has one-sidedness, and cannot provide accurate support for subsequent scheme design. Limited by the deficiency of the evaluation means, the existing life-prolonging design scheme is often based on standardized repair countermeasures, and lacks of accurate quantitative evaluation of different disease types, distribution levels and specific pavement states. Although some of the existing methods consider the factors such as the strength and crack resistance of the road structure to a certain extent, the accurate evaluation of different structural layers is generally lacking, and especially the problem of attenuation of material performance under the conditions of a multi-layer structure and a complex environment is ignored. The blindness in the design makes the selection and optimization of the life-prolonging scheme difficult to optimize, and often leads to prolonged construction period, high maintenance cost and unstable final life-prolonging effect. In summary, in the aspect of the life-prolonging design of the existing asphalt pavement structure, the prior art lacks a systematic evaluation method capable of comprehensively considering the internal damage state, the material performance degradation rule and the multidimensional mechanical response. The technical bottleneck causes insufficient evaluation accuracy of the residual life of the pavement, and the scientificity and the economical efficiency of the life-prolonging design scheme are difficult to be effectively ensured. Therefore, it is highly desirable to establish a comprehensive evaluation system integrating advanced nondestructive testing technology, accurate mechanical theoretical model and multi-index collaborative inspection, which not only can accurately quantify the influence of the internal health condition of the structure on the mechanical property, but also can realize accurate prediction of the residual life, thereby providing reliable technical support and decision basis for the life-prolonging design of the existing asphalt pavement. Disclosure of Invention In order to solve the technical problems, the embodiment of the application provides a method for evaluating the structure of an existing asphalt road and determining a life-prolonging scheme, which comprises the following steps: step S1, scanning the interior of an existing pavement structure through a three-dimensional ground penetrating radar, evaluating the internal health condition, and calculating a structure internal condition index ISCI; S2, theoretical simulation calculation is carried out through a double-modulus elastic layered system, and a modulus reduction coefficient is determined by combining the internal condition index ISCI of the structure, so that the residual life of the pavement is estimated; step S3, selecting additional paving, replacing or adding paving life-prolonging countermeasures after replacing according to the estimated residual life and the traffic load grade of the road, and providing different life-prolonging design schemes; S4, calculating equivalent stress and shear stress mechanical indexes by a global search method, and checking and calculating fatigue life, transverse crack spacing and permanent deformation under dif