Digital model optimization method for asphalt pavement deflection temperature correction

By combining logarithmic function fitting and heat conduction theory, a temperature correction coefficient model is generated, which solves the problem that existing technologies cannot handle non-standard thicknesses and extreme temperatures, and achieves higher accuracy and wider applicability of asphalt pavement deflection temperature correction.

CN122332855APending Publication Date: 2026-07-03毛军武

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
毛军武
Filing Date
2026-03-10
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing asphalt pavement temperature correction models cannot handle non-standard thicknesses, cannot accurately reflect instantaneous temperature gradients and the effects of extreme weather, resulting in large correction errors and failure under extreme temperature conditions, thus affecting the reliability of test data.

Method used

The estimated temperature of the base layer is generated by fitting a logarithmic function, linear mapping is performed based on the theory of heat conduction, weighted averaging is performed in combination with road surface inspection specifications, piecewise function modeling is performed by classifying the base material types, a temperature correction coefficient model is generated, and finally the equivalent deflection value at the standard temperature is generated.

Benefits of technology

It improves the correction accuracy of non-standard thickness pavements, enhances dynamic temperature response capability, expands the applicable range of extreme temperatures, and ensures the reliability and accuracy of test data.

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Abstract

This application relates to the field of road engineering testing technology. It provides a digital model optimization method for asphalt pavement deflection temperature correction. The method includes: based on pavement testing specifications, weighted averaging of the temperatures of the first, second, and third characteristic points in the depth-temperature mapping relationship to generate the overall average temperature of the asphalt layer; based on the overall average temperature of the asphalt layer, dividing the calculation path according to the base material type, and performing piecewise function modeling for a preset first temperature interval and a preset second temperature interval respectively to generate a temperature correction coefficient model; inputting the measured deflection value into the temperature correction coefficient model to generate the equivalent deflection value at the standard temperature, thereby achieving the technical effects of improving the correction accuracy of non-standard thickness pavements, enhancing dynamic temperature response capabilities, and expanding the applicable range for extreme temperatures.
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