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优化沥青表面层压实:集料三轴加速度响应的见解

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

作者信息

Zhang Zhi, Dan Hancheng, Li Songlin, Li Wenfeng

机构信息

School of Civil Engineering, Central South University, Changsha 410075, China.

出版信息

Materials (Basel). 2023 Nov 20;16(22):7239. doi: 10.3390/ma16227239.

DOI:10.3390/ma16227239
PMID:38005166
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10673026/
Abstract

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.

摘要

沥青面层的压实质量对沥青路面的整体性能有重大影响,但不同沥青面层(上面层、中面层和下面层)在振动压实过程中的动态响应和压实度变化仍未得到充分研究。智能岩石传感器可用于实时监测集料加速度。本研究旨在利用智能岩石传感器技术填补这一空白,从颗粒角度进一步了解不同沥青面层的压实机理,以及集料加速度与压实度之间的关系。结果表明,钢轮滚动会导致集料加速度沿滚轮滚动方向发生显著变化,主要导致该方向的水平剪切。随着距离增加,振动波在振动轮两侧逐渐衰减,面层厚度和级配显著影响加速度幅值。三轴集料加速度与压实度之间存在线性相关性,其中垂直相关性最强。最后,建立了三轴加速度与路面压实度之间的经验关系,为预测沥青面层密度提供了依据。这些发现加深了我们对路面压实机理的理解,并推动了沥青路面压实和质量控制方法的创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/c418bef9fb4e/materials-16-07239-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/8c7840dd9c1e/materials-16-07239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/c68ce9e74041/materials-16-07239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/5240031b4a8d/materials-16-07239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/983e8c8bb862/materials-16-07239-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/1364d75d947d/materials-16-07239-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/3ed9de6b540e/materials-16-07239-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/c418bef9fb4e/materials-16-07239-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/8c7840dd9c1e/materials-16-07239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/c68ce9e74041/materials-16-07239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/5240031b4a8d/materials-16-07239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/983e8c8bb862/materials-16-07239-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/1364d75d947d/materials-16-07239-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/3ed9de6b540e/materials-16-07239-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053e/10673026/c418bef9fb4e/materials-16-07239-g007.jpg

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Materials (Basel). 2021 Jul 31;14(15):4287. doi: 10.3390/ma14154287.