Paper
21 November 2022 Performance study of vertical vibratory roller compaction of large thickness water stabilized layer
Changmin Yang, Honggang Li, Jinghui Pei, Bowen Qiao, Jianzhe Chu, Ziyang Ye, Chaoyi Cui
Author Affiliations +
Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 123402L (2022) https://doi.org/10.1117/12.2652410
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China
Abstract
In road construction, the compaction of the large-thickness water-stable layer is mainly done in layers. However, the construction period is long, and the integrity of the water-stable layer after compaction is not good. To determine the maximum false pavement thickness and rolling combination that can be compacted at one time by LSV220 single drum vertical vibratory roller. In this paper, two test sections with a virtual pavement thickness of 100 cm were set up to bury the sensors in layers. Through the sensor and sand filling method, the maximum thickness of the compacted pavement is 47cm, and the combination of rolling is "one static compaction, one Weak vibration, and three Strong vibrations" The BP neural network was constructed using the experimental data was used to predict the compaction by sensor data. The error between the predicted and measured values of this neural network was verified to be 1.44%.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changmin Yang, Honggang Li, Jinghui Pei, Bowen Qiao, Jianzhe Chu, Ziyang Ye, and Chaoyi Cui "Performance study of vertical vibratory roller compaction of large thickness water stabilized layer", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 123402L (21 November 2022); https://doi.org/10.1117/12.2652410
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KEYWORDS
Neural networks

Sensors

Roads

Cements

Error analysis

Absorption

Silicates

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