Randomized trial evaluates a new nondestructive method for asphalt mixtures, indicating improved accuracy.
With the continuous improvement of the performance requirements for asphalt mixtures in the transportation construction industry and some special scenarios, how to efficiently and accurately obtain the Marshall parameters of asphalt mixtures has become a difficult problem in the field of transportation and roads. However, existing determination methods have problems such as poor accuracy and insufficient efficiency. Based on this, this paper raises a nondestructive determination model of Marshall Parameters of asphalt mixtures, which improves ultrasonic testing through multiple technical algorithms and integrates eXtreme Gradient Boosting. The results show that the determination coefficient and mean absolute error of stability of asphalt mixtures are 0.9374 and 0.124 kN. The accuracy of determining air voids is 96.11%, and the reuse rate of specimens is above 99.90%. At the same time, the temperature sensitivity coefficient is below 1.00%, the mean value of the sum of squared errors of surface state adaptability is 7.76%, and the average time is 2.11 minutes. The mean absolute percentage errors of Marshall Parameters under different pavement conditions are all lower than those of the comparison models. These results confirm the feasibility and practicality of the proposed model and provide a new nondestructive testing method for determining Marshall Parameters of asphalt mixtures in road engineering.
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L Y Zhang (2026) studied this question.
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