Falling weight impact acceleration-time signals analysis for road modulus detection: Theoretical and experimental investigations

Structural modulus detection is essential for construction and maintenance in road engineering. Falling weight impact loading method has significant strengths in large-scale, continuous, and rapid detection. To provide theoretical support for this, theoretical analysis and falling weight impact experiments were employed in this study to investigate the influence of road structure parameters and falling weight impact parameters on impact acceleration-time signals. First, the applicability of the Hertz model in road detection was analyzed, and theoretical formulas for peak acceleration a max and impact duration t 2 were established, considering the perfectly elastic collision between falling weight and half-space. Second, the influence of layered structures’ properties on impact acceleration-time curves was studied through model box impact experiments. Third, field tests were conducted to study engineering applications. The results showed that the influence patterns were similar in both theoretical and experimental studies, with differences reflected in the time of compression and restitution phases due to the road materials’ viscosity and plasticity. Additionally, in indoor experiments, a max showed an excellent power function relationship with structural layer modulus, with R 2 more than 0.95, and the contribution of each layer’s modulus to a max decreased from top to bottom. Finally, a max and resilient modulus of an old road also followed a good power function relationship, with R 2 around 0.76. This study revealed that a max was recommended for road surface modulus detection based on solid theoretical and experimental support.

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Publication Details

Journal
Case Studies in Construction Materials
Published
2024-10-24
DOI
https://doi.org/10.1016/j.cscm.2024.e03915
Citations
4
Primary Topic
Transportation Safety and Impact Analysis
Type
article
Field-Weighted Citation Impact
1.04

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article

Falling weight impact acceleration-time signals analysis for road modulus detection: Theoretical and experimental investigations

Xinnan Xu, Mohan Zhao, Yuhao Pei, Yu Liu et al.
4 citations
Case Studies in Construction Materials
Transportation Safety and Impact Analysis
1.04
article

Falling weight impact acceleration-time signals analysis for road modulus detection: Theoretical and experimental investigations

Xinnan Xu, Mohan Zhao, Yuhao Pei, Yu Liu, Chaofan Wu, Chengmiao Zhang
article en
4 citations

Abstract

Structural modulus detection is essential for construction and maintenance in road engineering. Falling weight impact loading method has significant strengths in large-scale, continuous, and rapid detection. To provide theoretical support for this, theoretical analysis and falling weight impact experiments were employed in this study to investigate the influence of road structure parameters and falling weight impact parameters on impact acceleration-time signals. First, the applicability of the Hertz model in road detection was analyzed, and theoretical formulas for peak acceleration a max and impact duration t 2 were established, considering the perfectly elastic collision between falling weight and half-space. Second, the influence of layered structures’ properties on impact acceleration-time curves was studied through model box impact experiments. Third, field tests were conducted to study engineering applications. The results showed that the influence patterns were similar in both theoretical and experimental studies, with differences reflected in the time of compression and restitution phases due to the road materials’ viscosity and plasticity. Additionally, in indoor experiments, a max showed an excellent power function relationship with structural layer modulus, with R 2 more than 0.95, and the contribution of each layer’s modulus to a max decreased from top to bottom. Finally, a max and resilient modulus of an old road also followed a good power function relationship, with R 2 around 0.76. This study revealed that a max was recommended for road surface modulus detection based on solid theoretical and experimental support.

Case Studies in Construction MaterialsVol. 21
Hong Kong Polytechnic University (HK), Chang'an University (CN)
National Natural Science Foundation of China, Natural Science Basic Research Program of Shaanxi Province
Climate action
Openalex Percentile: Top 25%
Transportation Safety and Impact Analysis
1.04
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