A New Combined Vacuum Preloading with Pneumatic Fracturing Method for Soft Ground Improvement

Liu, Songyu; Dingwen, Zhang; Du, Guanglong; Han, Wei

doi:10.1016/j.proeng.2016.06.057

Cited by 21 publications

(3 citation statements)

References 9 publications

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“…In some projects, it is required to combine vacuum preloading with other improvement methods to achieve a specific degree of consolidation during a certain period of time. For example, electro-osmosis [18][19][20], dynamic compaction effort [21][22][23], heat preloading [24,25], geosynthetic encased stone columns [26,27], pneumatic fracturing method [28], flocculant treatment [10,29], lime treatment [8,11], and air booster systems [30][31][32] are the conventional techniques can be accompanied by vacuum preloading.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive study on the effects of initial water content, suction magnitude, and drainage zone size on self-weight consolidation and vacuum preloading of soft soils and slurried mine tailings

Ahmadi,

Bazaz

2024

Preprint

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The self-weight consolidation of deposits consisting of fine-grained materials takes a long time. Using a suitable improvement method such as vacuum preloading can accelerate the consolidation. The first innovation is to experimentally assess the vacuum preloading effectiveness for expediting the settlement process of slurry tailings from the Sungun copper mine located in Iran. A new laboratory set-up is configured for radial and vertical consolidations of slurry samples. Effects of initial water content, suction level, and drainage zone size (i.e., sample relative size and vertical drain dimensions) on the tailings consolidation are evaluated through 272 tests. Previous studies indicate that analytical and numerical approaches are limited to particular assumptions and yield correct predictions only if various parameters during consolidation can be accurately determined. Therefore, as the second novelty, new empirical correlations are derived based on a modified multiple linear regression to simply predict vertical strain versus time curves under self-weight and vacuum consolidations with high accuracy. The data required for the statistical analysis are collected from the experimental results of Sungun tailings and a set of previous studies with a wide range of input values. The formulas proposed in this research are verified through several past in-situ and experimental studies with errors of less than 9%.

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Section: Introductionmentioning

confidence: 99%

A comprehensive study on the effects of initial water content, suction magnitude, and drainage zone size on self-weight consolidation and vacuum preloading of soft soils and slurried mine tailings

Ahmadi,

Bazaz

2024

Preprint

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“…Pneumatic subsoiling impacts the soil through the air explosion jet, reducing the friction between the subsoiling shovel and the soil and assisting the subsoiling operation, which can effectively break the plow pan [12]. Han et al simulated and analyzed the reinforcement mechanism of high-pressure gas on the soft soil foundation through soil trough tests [13]. Zuo et al designed a gas injection test for soil subsoiling, which verified the feasibility of air pressure subsoiling, and the effect of subsoiling was good [7].…”

Section: Introductionmentioning

confidence: 99%

A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques

et al. 2023

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In order to explore the drag reduction mechanism of pneumatic subsoiling and study the influence of pneumatic subsoiling on the soil, this study used machine learning models to predict the working resistance of a pneumatic subsoiler and adopted random forest (RF), error back-propagation (BP), eXtreme gradient boosting (XGBoost) and support vector regression (SVR) to analyze and compare the predictions of these four models. Field experiments were carried out in two fields with different bulk densities and moisture content. The effects of these parameters on the resistance of pneumatic subsoiling were studied by changing the working air pressure, depth and forward speed. In the RF, SVR, XGBoost and BP models, five parameters (working air pressure, working depth, forward speed, bulk density and moisture content) were inputted as independent variables, and the operating resistance of pneumatic subsoiling was used as the predicted value. After training the four models, the results showed that the R2 value of the RF model was the highest and the error was the smallest, which made it better than the SVR, XGBoost and BP models. The values of MAPE, R2 and RMSE for the RF model’s test set were 0.01, 0.99, and 3.61 N, respectively, indicating that the RF model could predict the resistance value of subsoiling well. When the RF model was used to analyze the five input parameters, the experimental results showed that the contribution of working air pressure to reducing the resistance of subsoiling reached 29%, indicating that pneumatic subsoiling can reduce the resistance, drag and consumption.

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“…Scientist have used a cap installed at the intersection between vertical and horizontal drains [14], [15] and added vacuum specially for suction of pore air pressure [16]- [18]. The scientists also have combined pneumatic fracturing method [19], membranelles vacuum for compressible improvement [20], and compact vacuum consolidation. Beside the development of VCM tools, many scientists also had developed new methods or model analyses, which are numerical and finite analysis about soft soil settlement related to the implementation of VCM [22]- [28].…”

Section: Introductionmentioning

confidence: 99%

The Effectiveness of Vacuum Consolidation to Soft Soil Settlement

Puspita¹,

Capri²

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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The main issue of building constructions on soft soils is not a uniform settlement of soft ground, which has a slow process that effected construction failures and rising maintenance expenses. For many decades, to the improvement of ground soil stability, then applied using prefabricated vertical drain (PVD). Along the development of science and technologies, which followed by improvement of the soil stability method, that is called as Vacuum Consolidation Method (VCM). The objectives of this study are to determine how the effectiveness of vacuum consolidation with various patterns to soft soil settlement of constructions, and to find the right spacing of PVD installation due to un-uniform settlement of soft soils. The analysis of this study compared the numbers and rates of settlements in preloading, PVD, and VCM with various patterns, and to get a uniform settlement by two scenarios analysis, which are various spacing with single suction pressure (scenario 1) and single spacing with various suction pressures. Based on the result of analysis which showed the settlement of VCM in both patterns are 2.247 m in 105 days (square pattern) and 2.252 m in 90 days (triangular pattern). It means with a triangular pattern has 70.2 more effective than others in the rate of the settlement period. It also showed the VCM has larger than others in volume settlements. The results of 2 scenarios analysis showed that the implementation of scenario one was difficult due to various spacing, while scenario two can be implemented because numbers of settlements depend on suction pressure of the vacuum.

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A New Combined Vacuum Preloading with Pneumatic Fracturing Method for Soft Ground Improvement

Cited by 21 publications

References 9 publications

A comprehensive study on the effects of initial water content, suction magnitude, and drainage zone size on self-weight consolidation and vacuum preloading of soft soils and slurried mine tailings

A comprehensive study on the effects of initial water content, suction magnitude, and drainage zone size on self-weight consolidation and vacuum preloading of soft soils and slurried mine tailings

A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques

The Effectiveness of Vacuum Consolidation to Soft Soil Settlement

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