An Improved Low-Cost Continuous Compaction Detection Method for the Construction of Asphalt Pavement
Autor: | Tong Jia, Zhendong Qian, Tie-Jun He, Kaixin Cao, Jian Lv |
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Rok vydání: | 2019 |
Předmět: |
Article Subject
Positioning system business.industry Computer science Compaction Process (computing) Structural engineering Vibration lcsh:TA1-2040 Trajectory Metre lcsh:Engineering (General). Civil engineering (General) business Quality assurance Energy (signal processing) Civil and Structural Engineering |
Zdroj: | Advances in Civil Engineering, Vol 2019 (2019) |
ISSN: | 1687-8094 1687-8086 |
DOI: | 10.1155/2019/4528230 |
Popis: | To realize the continuous compaction control (CCC) of asphalt pavement during construction, continuous detection method was investigated for the compaction degree values. For the trajectory of rollers, a collaborative positioning method was proposed. For the monitoring of rolling process, an embedded-based detection system was designed. For the evaluation of rolling effect, harmonic analysis was introduced and a new index, vibration compaction energy value (VCVe), was proposed. Positioning experiments were conducted, and the accuracy was improved to 0.48 m. Rolling tests were performed, and typical compaction meter values (CMVs), compaction control values (CCVs), and VCVe were obtained. The referenced compaction degree by conventional way was 94.6%, which was used to calibrate the detected values of compaction degree indexes. The results showed that continuous compaction detection can be achieved based on positioning system and vibration analysis. Compared with CMV and CCV, VCVe is less discrete, more stable, and consistent to describe the compaction state. Though, all the CMV, CCV, and VCVe indexes are unable to be used for quality assurance directly or alone, they could be an aid for quality control. Continuous compaction detection system meets the monitoring requirements of pavement construction at a lower cost and could lay a foundation for the intelligent compaction (IC). |
Databáze: | OpenAIRE |
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