Study on Deformation Parameters in Dynamic Compaction Desert Foundation

Zhang, Hui; Zhang, Bao Yuan

doi:10.4028/www.scientific.net/amm.170-173.357

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…By comparison, the latter method is a non-destructive detection method, which can test the compaction degree of asphalt pavement in real-time. However, it works based on a scattered gamma-ray, which is harmful to human health, due to its radioactivity [11,12]. In addition, strict procedures are required during the usage and storage process [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Research on Distribution Model and Detection Spacing of Compaction Degree of Asphalt Pavement Based on the PQI Method

Li¹,

Zhang

Peng³

et al. 2022

Coatings

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The pavement quality indicator (PQI) is a non-destructive piece of equipment for detecting the compaction degree of asphalt pavement, which can avoid primary damage to the pavement compared with the traditional core-drilling method. In this paper, the PQI method was applied to evaluate the compaction quality of asphalt pavement through data collection, calibration and statistical analysis, and the probability-distribution characteristics of compaction degree were also explored, by fitting the data with probability-distribution models. Furthermore, the optimal detection-spacing was determined by comparing the statistical results of compaction degree measured at different detection-spacings. Test results showed that the calibrated PQI data was close to the actual data of the core sample, and their error rate was within 1%. The compaction degree of the test road was mostly located between 92% and 99%, and the variable coefficient was entirely below 2%, demonstrating that the pavement-compaction quality was satisfactory and uniform. The normal distribution model, lognormal distribution model and extreme-value distribution model had relatively high accuracy in fitting the compaction-degree frequency data, while the sine-wave distribution model was low in fitting accuracy. By comparing the predicted value with the actual value of compaction degree, the normal distribution model was determined as the most appropriate model for describing the frequency distribution of compaction degree. In addition, the detection spacing was selected as 50 m, considering the reliability, accuracy and efficiency. The research results provide technical support for the compaction quality-control of asphalt pavement in a non-destructive, timely, accurate and multi-point manner, ultimately contributing to the excellent service performance and service life of asphalt pavement.

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Section: Introductionmentioning

confidence: 99%

Research on Distribution Model and Detection Spacing of Compaction Degree of Asphalt Pavement Based on the PQI Method

Li¹,

Zhang

Peng³

et al. 2022

Coatings

View full text Add to dashboard Cite

show abstract

“…Other obvious advantages include reduced engineering costs, land conservation, and better social economy. So far, the settlement of high filled embankment has been studied by many scholars using different treatment methods, such as drainage consolidation method [2,3], vacuum consolidation method [4], dynamic compaction [5][6][7], and shock compaction method [8,9]. However, each method mentioned above uses less soil thickness compacted at a time and long construction cycle time, especially for the high filled embankment whose construction cycle time is usually 1 to 2 years, which delays the construction progress seriously.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Blasting Compaction on Gravel Soil

Dasgupta

et al. 2015

Journal of Chemistry

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The settlement control is critical for the safety of road based on high filled embankment. The traditional construction methods have the characteristic with less soil thickness compacted at a time. There are many advantages to compact the gravel soil with blasting. The cavity in soil is formed by blasting and its fillings to form a composite foundation for the embankment. The field data show this composite foundation can meet the requirement of loading and settlement control with less construction time. In geotechnical blasting, the high temperature due to blasting will swell the material around, so its worthy to do the coupled analysis with thermal mechanics (TM) and blasting compaction in the high filled embankment. In this paper, a 3D model is built with FLAC3D to simulate a single hole to predict the range and degree of thermal propagation. Then, the thermal strains got from the model are used to estimate the displacement of surrounding soil to predict the degree of compaction and optimize the distribution of blast holes in plan.

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Study on Deformation Parameters in Dynamic Compaction Desert Foundation

Cited by 2 publications

References 1 publication

Research on Distribution Model and Detection Spacing of Compaction Degree of Asphalt Pavement Based on the PQI Method

Research on Distribution Model and Detection Spacing of Compaction Degree of Asphalt Pavement Based on the PQI Method

Analysis of the Blasting Compaction on Gravel Soil

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