A method for predicting the remaining life of existing asphalt pavement structures

By using a multiphysics coupled numerical simulation model and cross-scale analysis, high-threat working condition combinations are identified, solving the problem of insufficient accuracy in predicting the remaining life of asphalt pavement structures in existing technologies, and achieving efficient and accurate pavement maintenance decision support.

CN121744809BActive Publication Date: 2026-05-26JIANGXI PROVINCIAL EXPRESSWAY INVESTMENT GRP CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGXI PROVINCIAL EXPRESSWAY INVESTMENT GRP CO LTD
Filing Date
2026-03-02
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies, when using computer simulations to predict the remaining fatigue life of existing asphalt pavement structures, struggle to balance prediction accuracy with engineering practicality. Furthermore, the complex calculations make it difficult to support efficient assessment and precise maintenance decisions for large-scale road networks.

Method used

A multiphysics coupled numerical simulation model was adopted, combined with cross-scale analysis and time-frequency coherence analysis, to obtain fatigue performance parameters and environmental boundary conditions of asphalt pavement materials, identify high-threat working condition combinations, perform high-fidelity numerical simulation, calculate damage evolution data, and determine the remaining fatigue life based on the correspondence between damage state and service performance.

Benefits of technology

It significantly improves the accuracy and practicality of predicting the remaining life of existing pavement structures, achieves a balance between high-precision prediction and computational feasibility, and provides reliable quantitative basis for pavement maintenance management.

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Abstract

This invention discloses a method for predicting the remaining life of existing asphalt pavement structures, specifically relating to the fields of computer simulation and data processing technology. It addresses the problem that existing prediction methods cannot efficiently characterize the non-uniformity of existing pavement materials and the influence of dynamic environmental loads while ensuring accuracy. The method involves acquiring existing pavement damage data to construct a simulation model reflecting the true initial state, combining this with cross-scale analysis to obtain material fatigue parameters, and using climate time-series data to drive dynamic environmental boundaries. Furthermore, it performs time-frequency coherence analysis on damage modes and climate loads to identify high-threat conditions. Finally, it prioritizes high-threat conditions by running high-fidelity thermo-mechanical coupled numerical simulations, mapping the damage evolution data output from the simulation to the macroscopic performance degradation process, thereby determining the remaining fatigue life.
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