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...

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Main Authors: Naitian Zhang, Peng Wang, Chengdong Xia, Lin Gao, Yongze Wang, Songtao Lv, Wang Dikuan
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524013111
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author Naitian Zhang
Peng Wang
Chengdong Xia
Lin Gao
Yongze Wang
Songtao Lv
Wang Dikuan
author_facet Naitian Zhang
Peng Wang
Chengdong Xia
Lin Gao
Yongze Wang
Songtao Lv
Wang Dikuan
author_sort Naitian Zhang
collection DOAJ
description 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.
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issn 2214-5095
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publishDate 2025-07-01
publisher Elsevier
record_format Article
series Case Studies in Construction Materials
spelling doaj-art-8879ed41b2494a0d8068515668d049b22025-08-20T02:52:46ZengElsevierCase Studies in Construction Materials2214-50952025-07-0122e0415910.1016/j.cscm.2024.e04159Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniquesNaitian Zhang0Peng Wang1Chengdong Xia2Lin Gao3Yongze Wang4Songtao Lv5Wang Dikuan6Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure, Xinjiang University, Urumqi 830017, ChinaXINJIANG CONSTRUCTION & ENGINEERING GROUP CO.,LTD, 830000, ChinaNational Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Hunan 410114, China; Department of Civil and Environmental Engineering, The Hong Kong Polytechnical University, Hung Hom, Hong Kong; Corresponding author at: National Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Hunan 410114, China.XINJIANG CONSTRUCTION & ENGINEERING GROUP CO.,LTD, 830000, ChinaXINJIANG CONSTRUCTION & ENGINEERING GROUP CO.,LTD, 830000, ChinaNational Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Hunan 410114, ChinaNational Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Hunan 410114, ChinaThis 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.http://www.sciencedirect.com/science/article/pii/S2214509524013111Road engineeringSubgradeSelf-weight effectBearing plateSize effectModulus of resilience
spellingShingle Naitian Zhang
Peng Wang
Chengdong Xia
Lin Gao
Yongze Wang
Songtao Lv
Wang Dikuan
Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
Case Studies in Construction Materials
Road engineering
Subgrade
Self-weight effect
Bearing plate
Size effect
Modulus of resilience
title Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
title_full Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
title_fullStr Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
title_full_unstemmed Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
title_short Evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
title_sort evaluating subgrade dynamic and static resilience modulus through enhanced testing techniques
topic Road engineering
Subgrade
Self-weight effect
Bearing plate
Size effect
Modulus of resilience
url http://www.sciencedirect.com/science/article/pii/S2214509524013111
work_keys_str_mv AT naitianzhang evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques
AT pengwang evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques
AT chengdongxia evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques
AT lingao evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques
AT yongzewang evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques
AT songtaolv evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques
AT wangdikuan evaluatingsubgradedynamicandstaticresiliencemodulusthroughenhancedtestingtechniques