Study on the evolution pattern of in-service modulus for semi-rigid base layer based on curing-state correction

Laboratory tests show that prolonged curing enhances specimen modulus. However, when evaluating in-service modulus of base layers in asphalt pavements, most studies emphasize traffic loading while neglecting time effect. To address this gap, this paper develops an evolution model of the in-service modulus for semi-rigid base layers considering coupled effects of traffic loading and time. First, Falling Weight Deflectometer testing was conducted to back-calculate moduli under varying loading levels and service ages. Then, assuming time-dependent effects remained consistent within each six-month interval, regression analysis was performed separately for each period to derive modulus evolution trend. From this, the unloaded modulus at different ages was obtained to quantify time factor (Kt ). Based on Kt ​, moduli measured at different ages were normalized to a reference age, and regression fitting was subsequently performed to characterize deterioration trend under repeated loading, expressed by loading factor (KN ). Results indicate that the time-dependent effect follows a characteristic increase-decrease-stabilization pattern, well described by Gamma-type function. The peak unloaded modulus within the first year can reach approximately 1.3 times the initial value. By contrast, traffic loading induces continued damage described by structural behavior equation. The findings improve prediction of base layer’s modulus and support pavement management decision-making.

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Publication Details

Journal
International Journal of Pavement Engineering
Published
2026-06-30
DOI
https://doi.org/10.1080/10298436.2026.2696001
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on the evolution pattern of in-service modulus for semi-rigid base layer based on curing-state correction

Ruikang Yang, Huailei Cheng, Lulu YANG, Kun Peng et al.
International Journal of Pavement Engineering
Asphalt Pavement Performance Evaluation
article

Study on the evolution pattern of in-service modulus for semi-rigid base layer based on curing-state correction

Ruikang Yang, Huailei Cheng, Lulu YANG, Kun Peng, Jiahao Li, Zhang Chen, Weiying Wang, Lijun Sun
article en

Abstract

Laboratory tests show that prolonged curing enhances specimen modulus. However, when evaluating in-service modulus of base layers in asphalt pavements, most studies emphasize traffic loading while neglecting time effect. To address this gap, this paper develops an evolution model of the in-service modulus for semi-rigid base layers considering coupled effects of traffic loading and time. First, Falling Weight Deflectometer testing was conducted to back-calculate moduli under varying loading levels and service ages. Then, assuming time-dependent effects remained consistent within each six-month interval, regression analysis was performed separately for each period to derive modulus evolution trend. From this, the unloaded modulus at different ages was obtained to quantify time factor (Kt ). Based on Kt ​, moduli measured at different ages were normalized to a reference age, and regression fitting was subsequently performed to characterize deterioration trend under repeated loading, expressed by loading factor (KN ). Results indicate that the time-dependent effect follows a characteristic increase-decrease-stabilization pattern, well described by Gamma-type function. The peak unloaded modulus within the first year can reach approximately 1.3 times the initial value. By contrast, traffic loading induces continued damage described by structural behavior equation. The findings improve prediction of base layer’s modulus and support pavement management decision-making.

International Journal of Pavement EngineeringVol. 27(1)
Tongji University (CN), Shanghai Urban Transportation Design Institute (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Asphalt Pavement Performance Evaluation
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