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Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses

The compaction quality of asphalt surface courses has a significant impact on the overall performance of asphalt pavements, but the dynamic response and compaction degree variations of different asphalt surface courses (top, middle, and bottom surface courses) during vibrational compaction have stil...

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Autores principales: Zhang, Zhi, Dan, Hancheng, Li, Songlin, Li, Wenfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673026/
https://www.ncbi.nlm.nih.gov/pubmed/38005166
http://dx.doi.org/10.3390/ma16227239
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author Zhang, Zhi
Dan, Hancheng
Li, Songlin
Li, Wenfeng
author_facet Zhang, Zhi
Dan, Hancheng
Li, Songlin
Li, Wenfeng
author_sort Zhang, Zhi
collection PubMed
description The compaction quality of asphalt surface courses has a significant impact on the overall performance of asphalt pavements, but the dynamic response and compaction degree variations of different asphalt surface courses (top, middle, and bottom surface courses) during vibrational compaction have still received limited research. SmartRock sensors can be utilized to monitor aggregate acceleration in real-time. This study aims to address this gap using SmartRock sensor technology to further understand the compaction mechanisms of different asphalt surface courses from a particle perspective, as well as the relationship between aggregate acceleration and compaction degree. The results indicate that the rolling of steel drums induces a significant alteration of the aggregate acceleration along the roller’s rolling direction, primarily resulting in horizontal shearing in that direction. As distance increases, vibration waves gradually attenuate on both sides of vibrating drums, and surface course thickness and gradation significantly affect acceleration amplitude. There is a linear correlation between triaxial aggregate acceleration and compaction degree, with the vertical correlation being the strongest. Finally, an empirical relationship between triaxial acceleration and pavement compaction degree was established, providing a basis for predicting the asphalt surface course density. These findings enhance our understanding of pavement compaction mechanisms and promote innovation in asphalt pavement compaction and quality control methods.
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spelling pubmed-106730262023-11-20 Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses Zhang, Zhi Dan, Hancheng Li, Songlin Li, Wenfeng Materials (Basel) Article The compaction quality of asphalt surface courses has a significant impact on the overall performance of asphalt pavements, but the dynamic response and compaction degree variations of different asphalt surface courses (top, middle, and bottom surface courses) during vibrational compaction have still received limited research. SmartRock sensors can be utilized to monitor aggregate acceleration in real-time. This study aims to address this gap using SmartRock sensor technology to further understand the compaction mechanisms of different asphalt surface courses from a particle perspective, as well as the relationship between aggregate acceleration and compaction degree. The results indicate that the rolling of steel drums induces a significant alteration of the aggregate acceleration along the roller’s rolling direction, primarily resulting in horizontal shearing in that direction. As distance increases, vibration waves gradually attenuate on both sides of vibrating drums, and surface course thickness and gradation significantly affect acceleration amplitude. There is a linear correlation between triaxial aggregate acceleration and compaction degree, with the vertical correlation being the strongest. Finally, an empirical relationship between triaxial acceleration and pavement compaction degree was established, providing a basis for predicting the asphalt surface course density. These findings enhance our understanding of pavement compaction mechanisms and promote innovation in asphalt pavement compaction and quality control methods. MDPI 2023-11-20 /pmc/articles/PMC10673026/ /pubmed/38005166 http://dx.doi.org/10.3390/ma16227239 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Zhi
Dan, Hancheng
Li, Songlin
Li, Wenfeng
Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
title Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
title_full Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
title_fullStr Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
title_full_unstemmed Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
title_short Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
title_sort optimizing asphalt surface course compaction: insights from aggregate triaxial acceleration responses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673026/
https://www.ncbi.nlm.nih.gov/pubmed/38005166
http://dx.doi.org/10.3390/ma16227239
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