Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques

This study investigates the impact of pavement structure self-weight on the dynamic and static resilient modulus of subgrade materials and proposes a prediction model to account for this effect. Traditional methods for measuring subgrade modulus are limited in simulating repeated traffic loading and the influence of self-weight, leading to inaccurate evaluations. To address this, a novel test device capable of applying cyclic loads was developed. Dynamic and static modulus tests were conducted using different bearing plate and lantern ring sizes to simulate the self-weight effect. Results show that the resilient modulus decreases as the bearing plate size increases, stabilizing at 30 cm, while the modulus increases with the collar size, stabilizing at 50 cm for a 20 cm plate and 35 cm for a 30 cm plate. A prediction model for dynamic and static resilient modulus, incorporating the effect of pavement self-weight, was developed. This model enhances the accuracy of subgrade modulus predictions, contributing to more reliable pavement structure designs. The findings are significant for improving the efficiency and accuracy of subgrade testing, with important implications for pavement design and maintenance. • The study investigated the impact of pavement structure self-weight on the resilient modulus of subgrade materials. • A distinction was made between dynamic and static resilient modulus, highlighting their effects on pavement performance. • A distinction was made between dynamic and static resilient modulus, highlighting their effects on pavement performance.

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Publication Details

Journal
Case Studies in Construction Materials
Published
2024-12-26
DOI
https://doi.org/10.1016/j.cscm.2024.e04159
Citations
2
Primary Topic
Transportation Safety and Impact Analysis
Type
article
Field-Weighted Citation Impact
0.52
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article

Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques

Yongze Wang, Naitian Zhang, Songtao Lv, Wang Dikuan et al.
2 citations
Case Studies in Construction Materials
Transportation Safety and Impact Analysis
0.52
article

Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques

Yongze Wang, Naitian Zhang, Songtao Lv, Wang Dikuan, Gao Lin, Chengdong Xia, Peng Wang
article en
2 citations

Abstract

This study investigates the impact of pavement structure self-weight on the dynamic and static resilient modulus of subgrade materials and proposes a prediction model to account for this effect. Traditional methods for measuring subgrade modulus are limited in simulating repeated traffic loading and the influence of self-weight, leading to inaccurate evaluations. To address this, a novel test device capable of applying cyclic loads was developed. Dynamic and static modulus tests were conducted using different bearing plate and lantern ring sizes to simulate the self-weight effect. Results show that the resilient modulus decreases as the bearing plate size increases, stabilizing at 30 cm, while the modulus increases with the collar size, stabilizing at 50 cm for a 20 cm plate and 35 cm for a 30 cm plate. A prediction model for dynamic and static resilient modulus, incorporating the effect of pavement self-weight, was developed. This model enhances the accuracy of subgrade modulus predictions, contributing to more reliable pavement structure designs. The findings are significant for improving the efficiency and accuracy of subgrade testing, with important implications for pavement design and maintenance. • The study investigated the impact of pavement structure self-weight on the resilient modulus of subgrade materials. • A distinction was made between dynamic and static resilient modulus, highlighting their effects on pavement performance. • A distinction was made between dynamic and static resilient modulus, highlighting their effects on pavement performance.

Case Studies in Construction MaterialsVol. 22
Hong Kong Polytechnic University (HK), Xinjiang Production and Construction Corps (CN), Changsha University of Science and Technology (CN), Xinjiang University (CN)
Climate action
Openalex Percentile: Top 34%
Transportation Safety and Impact Analysis
0.52
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