Assessment of Real‐Time Compaction Quality Test Indexes for Rockfill Material Based on Roller Vibratory Acceleration Analysis

Hua, Tianbo; Yang, Xing-guo; Yao, Qiang; Li, Hongtao

doi:10.1155/2018/2879321

Cited by 32 publications

(10 citation statements)

References 16 publications

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“…Figure 9 shows that the initial compactness of subgrade after initial compaction by roller is not completely the same, but all are about 85%. The reason for this difference is considered to be the sudden acceleration or deceleration of the roller during driving [ 14 ]. Considering that the degree of compaction will be improved by hydraulic compactor reinforcement, the small initial compaction difference can be allowed in the actual construction.…”

Section: Resultsmentioning

confidence: 99%

“…The main difference is the compaction equipment utilized. Numerous scholars have determined the dynamic response between vibratory or impact roller compactors and soil [10][11][12][13][14], while others have analyzed the dynamic response between the impact rammer and soil concerning dynamic compaction of subgrade [15]. However, minimal research has explored the dynamics of the hydraulic compactor, an efficient and omni-directional reinforcement machine [16].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Monitoring Method for Layered Compaction Quality of Loess Subgrade Based on Hydraulic Compactor Reinforcement

Zhou

Yan

et al. 2020

Sensors

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Hydraulic compactor is an efficient reinforcement machine for loess subgrade. However, it is difficult to control the layered compaction quality of the subgrade. This research presents a real-time layered compactness monitoring method for hydraulic compactor reinforcement of subgrade in loess areas. The hydraulic force coefficient is first introduced, and the dynamic response model of the hydraulic rammer and soil is established. The relationship between the acceleration of the hydraulic rammer and the compactness of subgrade is then obtained based on the collision theory in elastic half space. A full-scale test using a hydraulic compactor to reinforce loess subgrade was also carried out. Results show that the hydraulic compactor obtains the effective influence depth for the reinforcement of loess subgrade. Within the effective reinforcement depth, the relationship between the peak acceleration of the rammer and the layered compactness of subgrade can be well fitted by a quadratic function model. The layered compactness of the subgrade and the working state of the hydraulic compactor can then be remotely monitored at a mobile terminal in real time. Furthermore, the monitoring technology was applied to Huangling-Yan’an Expressway in China, significantly improving the accuracy and efficiency of real-time monitoring of the layered compactness of subgrade in the loess area.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-Time Monitoring Method for Layered Compaction Quality of Loess Subgrade Based on Hydraulic Compactor Reinforcement

Zhou

Yan

et al. 2020

Sensors

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“…The SCV (Zhang et al , 2017) provides an approach to assess the compaction quality based on acoustic wave detection. The CF (Hua et al , 2018) describes the waveform changes in the vibration acceleration, which was relevant to the compactness. The CSD (Kimmel and Mooney, 2011) is a measurement of the pad strain to assess the soil stiffness.…”

Section: Bibliometric Statisticsmentioning

confidence: 99%

Intelligent compaction practice and development: a bibliometric analysis

Liu

Wang

Chen

et al. 2019

ECAM

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Purpose The purpose of this paper is to provide insights into the current practice, challenges and future development trends of intelligent compaction (IC) technology from a bibliometric perspective. Design/methodology/approach A bibliometric analysis on IC-relevant studies is presented. Through this quantitative manner, insights into the current IC research practice and development trends have been derived from the perspectives of publications and citations, spatial distribution, knowledge construction, structural variations, existing problems, and conclusions and recommendations. Findings Currently, IC applications are confronted with the issues of intelligent compaction measurement values (ICMVs) applicability, autonomous control, specifications and applications. To address the issues, three potential research directions are identified: a comprehensive ICMV measurement system that is designated for single layer analysis; autonomous control mechanisms with integrated management capabilities that can efficiently collaborate all stakeholders; and a standardized application workflow and the cost-benefit evaluation of IC in the context of the full life cycle. Research limitations/implications The literature used in this paper is collected from the Web of Science. Although the database covers almost all the important publications in IC field, studies not indexed by the database are not considered. Originality/value This research quantitatively analyzes the current IC practice and development trends from the perspectives of bibliometric analysis. It provides an overview of the knowledge construction and development of IC technology. The discussions about the problems and the suggested solutions can be useful for those interested in this field.

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“…Furthermore, the variation can be used to describe the compaction states of filling materials [44]. Among the compaction degree indexes based on harmonic analysis, CMV and CCV are most widely used, and the harmonic components are easy to extract, with definitions given in equations (4) and (5) [45].…”

Section: Compaction Degree Indexesmentioning

confidence: 99%

An Improved Low‐Cost Continuous Compaction Detection Method for the Construction of Asphalt Pavement

Jia

Qian

et al. 2019

Advances in Civil Engineering

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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).

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Assessment of Real‐Time Compaction Quality Test Indexes for Rockfill Material Based on Roller Vibratory Acceleration Analysis

Cited by 32 publications

References 16 publications

Real-Time Monitoring Method for Layered Compaction Quality of Loess Subgrade Based on Hydraulic Compactor Reinforcement

Real-Time Monitoring Method for Layered Compaction Quality of Loess Subgrade Based on Hydraulic Compactor Reinforcement

Intelligent compaction practice and development: a bibliometric analysis

An Improved Low‐Cost Continuous Compaction Detection Method for the Construction of Asphalt Pavement

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