Field Assessment and Specification Review for Roller-Integrated Compaction Monitoring Technologies

White, David J.; Vennapusa, Pavana; Gieselman, Heath

doi:10.1155/2011/783836

Cited by 50 publications

(28 citation statements)

References 12 publications

(18 reference statements)

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“…White et al [13] credited the TH-64 construction project in Minnesota as the first earthwork project to require IC technology. More states in the US have been involved in researches exploring IC for compaction quality control [14][15][16][17][18]. rough the research of the relationship between sedimentation quantity and compaction quality, Mei et al [19] settled the problems of construction technology and quality control of embankment.…”

Section: Introductionmentioning

confidence: 99%

Compaction Quality Inspection Method of Soil‐Rock Filled Embankment Based on Continuous Compaction Control Technology

Zhang

2021

Advances in Civil Engineering

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Affected by the site construction conditions, the measurement passes of the Taihang Expressway K8 + 105 ∼ K8 + 341 (K8 worksite) in the Taihang Expressway did not meet the requirements of data analysis, and the quantity of the control points was insufficient so that the linear correlation between the dynamic deformation modulus () and the vibratory compaction value (VCV) was not strong. Therefore, the target value of VCV cannot be used to diagnose the E v d compaction quality of soil-rock filler. This paper analyzes the roller measurement VCV value and in situ measurements E v d value separately. Results reveal the difference between the VCV mean measured in the last two passes and the standard deviation of the measured VCV mean in the last pass are used as the main basis for the actual compaction quality. In addition, the E v d mean in the last rolling can be used as an auxiliary judgment basis for the quality control of the compaction.

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Section: Introductionmentioning

confidence: 99%

Compaction Quality Inspection Method of Soil‐Rock Filled Embankment Based on Continuous Compaction Control Technology

Zhang

2021

Advances in Civil Engineering

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“…The application of these compaction measurement values avoided over-or under-compaction of filling materials, and improved the efficiency of subgrade compaction [6,14,15]. However, the vibration wave is very complicated and its transmission and evolution mechanism is not clear enough [16,17], especially in the construction field, which leads to that CMV can only be used to roughly estimate the compaction quality of subgrade and the above-mentioned other (CCV, THD, RMV and MDP) compaction measurement values also had some problems in practical applications [18][19][20][21]. Therefore, it is very necessary to study the transmission and evolution characteristics of the vibration signal from the vibratory roller to filling materials in the compaction process.…”

Section: Introductionmentioning

confidence: 99%

Study on the Transmission and Evolution Characteristics of Vibration Wave from Vibratory Roller to Filling Materials Based on the Field Test

et al. 2020

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Compaction quality of railroad subgrade relates directly to the stability and safety of train operation, and the core problem of the Intelligent Compaction of railroads is the transmission and evolution characteristics of vibration wave. Aiming at the shortages in exploring the transmission and evolution characteristics of the vibration signal, the typical subgrade compaction project of Jingxiong Intercity Railway Gu’an Station was selected to carry out the field prototypes tests, and the dynamic response from the vibratory roller to filling materials was monitored in the whole compaction process, and some efficient field tests data will be obtained. Based on this, the transmission and evolution characteristics of the vibration wave from the vibratory roller to filling materials in the compaction process are studied from the time domain, frequency domain, jointed time–frequency domain and energy domain by using one new signal analysis technology—Hilbert–Huang Transform. Some conclusions are shown as follows: first, the vibration acceleration peak gradually decreases with the increase of buried depth, and when the buried depth reaches 1.8 m, the vibration acceleration peak is closed to zero. At the same time, when the vibration wave propagates from the wheel to the surface of filling, the attenuation rate of acceleration gradually increases with the increase of rolling compaction times, while the attenuation rate of other layers in different buried depths gradually decreases. Second, the vibration wave contains fundamental wave and multiple harmonics, and the dominant frequency of the fundamental wave is nearly 21 Hz. With the increase of buried depth, the amplitude of fundamental, primary, secondary, until fifth harmonics decreases exponentially and the concrete functional relationship among different amplitudes of harmonics can be summarized as y = Ae−BX. Third, the vibration energy focuses on the fundamental wave and primary wave, which can increase with the increase of rolling compaction times, and when the rolling compaction time reaches five, their energy reaches maximum. However, when the filling reaches a dense situation, the energy of the primary wave gradually decreases. Therefore, the maximum rolling compaction time is five in the practical engineering applications, which will be helpful for optimizing the compaction quality control models and providing some support for the development of the Intelligent Compaction theory of railway subgrade.

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“…Zhu et al [6] test a multilayer structure and find that CMV is sensitive to the characteristic of underlying layers, such as stiffness and moisture content of the layers. White et al [7] indicate that CMV is dependent on the vibration amplitude; therefore, a higher excitation force amplitude generally yields a greater CMV at a constant soil modulus. Wersäll et al [8] conduct full-scale tests to study the influence of variable frequencies on compaction control.…”

Section: Introductionmentioning

confidence: 99%

Real‐Time Evaluation of Compaction Quality by Using Artificial Neural Networks

Cao

Liu

Gao

et al. 2020

Advances in Materials Science and Engineering

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The primary goal of this study is to find an easy and convenient way to estimate the degree of compaction in real time for compaction quality control. In this paper, an artificial neural network classifier is developed to identify the different characteristic patterns of drum vibration and classify them according to the different compaction levels. At first, a field compaction experiment is designed and performed in a construction site, and the degree of compaction and the vibration are measured. Then, the vibration signals collected from the experiment are processed to extract the features of vibration patterns and labeled with the compaction level to train the artificial neural network model. At last, the performance of the artificial neural network classifier is verified against the degree of compaction measured by using a nuclear density gauge. It can be found that artificial neural networks show good performance and huge potential for the problem of compaction quality control.

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Field Assessment and Specification Review for Roller-Integrated Compaction Monitoring Technologies

Cited by 50 publications

References 12 publications

Compaction Quality Inspection Method of Soil‐Rock Filled Embankment Based on Continuous Compaction Control Technology

Compaction Quality Inspection Method of Soil‐Rock Filled Embankment Based on Continuous Compaction Control Technology

Study on the Transmission and Evolution Characteristics of Vibration Wave from Vibratory Roller to Filling Materials Based on the Field Test

Real‐Time Evaluation of Compaction Quality by Using Artificial Neural Networks

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