Simple Regression Models to Estimate the Standard and Modified Proctor Characteristics of Specific Compacted Fine-Grained Soils

Arama, Zülal Akbay; Gençdal, Hazal Berrak

doi:10.11159/icgre22.232

Cited by 5 publications

(2 citation statements)

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“…An optimum density and moisture content was obtained for each formulation studied. The observed compaction behavior is similar compared to other results described in the literature [46,[55][56][57]. The evolution of dry density according to water content follows a parabolic curve that presents optimum values.…”

Section: Resultssupporting

confidence: 88%

Strategy for the Mix Design of Building Earthen Materials Made of Quarry By-Products

Audren,

Guihéneuf,

Le Borgne

et al. 2023

Buildings

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The use of quarry by-products can enable the commercialization of a clay building material (reconstituted earth) thanks to minimal valorized and perennial stocks of materials. This study shows that quarry by-products can be used to mix design a clay-based building material for the manufacture of CEB. These soils are composed of quarry tailing and clayey muds. Proctor and dry compressive strength tests have shown that the proportion of mud that achieves the highest possible compressive strength is a balance between increasing density through the aggregate arrangement, increasing clay activity, and decreasing density through the increase in water content. These tests resulted in the formulation of materials with compressive strengths of 5.8 MPa and 8.4 MPa at densities of 2135 kg/m3 and 2178 kg/m3. The influence of mud incorporation on the material granulometry and on its characteristics was also studied. Moreover, a model allowing us to link the compressive strength, the clay activity, and the dry density is proposed for the materials composed of quarry by-products. This model enables us to facilitate the mix design and the standardization of the earth material.

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Section: Resultssupporting

confidence: 88%

Strategy for the Mix Design of Building Earthen Materials Made of Quarry By-Products

Audren,

Guihéneuf,

Le Borgne

et al. 2023

Buildings

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show abstract

“…Although this method can provide reasonable predictions in many cases, it may be subject to a certain amount of error because it is limited by experimental conditions and sample size. Regression analysis is a statistical method for calculating soil compaction parameters and can be used to predict soil compaction parameters [11][12][13][14][15]. However, this method can only make preliminary predictions of soil MDD and OMC and has a large error [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Soil Compaction Parameters Using Machine Learning Models

Li,

You,

et al. 2024

Applied Sciences

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Maximum Dry Density (MDD) and Optimum Moisture Content (OMC) are two important parameters of soil filling, which affect the soil stability and bearing capacity, and thus the reliability and durability of facilities such as highways and bridges. Therefore, it is important to make reasonable predictions of OMC and MDD. Four machine learning algorithms, namely, Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest (RF), and Extreme Gradient Boosting Tree (XGBoost), are adopted in this paper to establish MDD and OMC prediction models. After training and testing, the best models of the four algorithms are compared. The results show that, as an ensemble learning algorithm, XGBoost is the best model for predicting MDD and OMC, with an R2 of 0.9234 for OMC, and an R2 of 0.9098 for MDD. Finally, the feature importance analysis concludes that the plastic limit (PL) and the liquid limit (LL) are the two features that affect OMC and MDD the most. The prediction of soil compaction parameters using machine learning models, especially ensemble learning, can significantly reduce the amount of laboratory work and improve the efficiency of optimizing design for soil resource utilization in engineering construction.

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A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches

Khatti,

Grover

2023

Arch Computat Methods Eng

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Simple Regression Models to Estimate the Standard and Modified Proctor Characteristics of Specific Compacted Fine-Grained Soils

Cited by 5 publications

References 0 publications

Strategy for the Mix Design of Building Earthen Materials Made of Quarry By-Products

Strategy for the Mix Design of Building Earthen Materials Made of Quarry By-Products

Prediction of Soil Compaction Parameters Using Machine Learning Models

A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches

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