Correlation Between Cone Resistance Values and Cohesion Values in Cohesive Soils (Case Study in Gunung Anyar District)

Estikhamah, Fithri; Solin, Dian Purnamawati

doi:10.1051/e3sconf/202132801005

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…The determination of the cohesion value is then calculated with the correlation equation between the qc value and cohesion obtained from the equation from Estikhamah et al ( 2022) with the correlation equation, which is y=0.0138x-0.0063 with a correlation coefficient (r²) of 0.6098 [12]. The following graph of the relation between qc and cohesion values is shown in Figure 3.…”

Section: Soil Typementioning

confidence: 99%

Slope failure lines analysis to determine landslide potential based on standard penetration test method

Agung,

Hasan,

Dwiyasa

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Landslide events cause road access to be cut off, such as in the Payung area of Batu City, which connects Malang and Kediri. Analysis and evaluation of landslide disasters need to be carried out in this area to anticipate the next landslides and reduce economic losses. This study aims to determine landslide potential in the Payung Area, Batu City, using the SPT method. The test is carried out at 2 points of the slope on the provincial roads and the slope above the road so that the two measurement points can be correlated. The data needed to analyze slope stability include the internal shear angle, cohesion, and soil unit weight; analysis and modeling of slope stability using Geostudio SLOPE/W software. The results of the slope stability analysis at point 1 show that the average failure line is at a depth of 6.00 m with the smallest Safety Factor (SF) value of 0.710 in scenario 2. While the slope at point 2, the failure line is at a depth of 1.50 m with the smallest FK value of 0.840 in scenario 2. Significant changes in the N-SPT value indicate differences in soil mechanical properties, such as shear angle and cohesion that affect the stability of the slope and cause landslides.

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Section: Soil Typementioning

confidence: 99%

Slope failure lines analysis to determine landslide potential based on standard penetration test method

Agung,

Hasan,

Dwiyasa

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The previous studies were seen to have been correlated to only some of the soil's parameters like plasticity index, cone resistance values [20], CPT-SPT values [21] etc. with other soil properties, especially the shear strength parameter of soil.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Strength Properties of Soft Soil Considering Simple Soil Parameters

Hoque,

Bayezid,

Sharan

et al. 2023

OJCE

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Cohesion is an important soil strength parameter for the overall structure and quality of building foundations as well as slope stability. For a civil engineering project, cohesion (c) can be determined directly from mainly unconfined compression tests, direct shear tests, and triaxial tests of soil. However, it's quite challenging to collect soil samples as there are time and cost constraints, as well as a diversity of soil deposits. Hence, this research aims to demonstrate a simplified method in order to determine the strength parameter of cohesive soil. Here, we propose an alternative solution adopting statistical correlations and machine learning techniques to establish correlations between the liquid limit, plastic limit, moisture content and %fine of soil with the strength parameter. In laboratory testing, these parameters can be obtained easily and these tests are relatively simple, quick to perform and also comparatively inexpensive. Hence, several test results were used from 100 boreholes which were soft soil or silty clay-type soil. Using the collected in-situ and lab test results of soil samples, a Multiple Linear Regression (MLR), Random Forest Regression (RFR) and Machine Learning (ML) model will be developed to establish a relationship between cohesion and the available test results. In order to assess the performances of both models, several performance indicators like: correlation coefficient (R 2 ), mean squared error (MSE), root mean square error (RMSE), and mean average error (MAE) will be used. These correlation coefficients will be used to demonstrate the prediction capacity and accuracy of both models. It should be noted that this approach will substitute the conventional testing required for strength parameters, which is both expensive and time-consuming.

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Correlation Between Cone Resistance Values and Cohesion Values in Cohesive Soils (Case Study in Gunung Anyar District)

Cited by 2 publications

References 1 publication

Slope failure lines analysis to determine landslide potential based on standard penetration test method

Slope failure lines analysis to determine landslide potential based on standard penetration test method

Prediction of Strength Properties of Soft Soil Considering Simple Soil Parameters

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