• Geomechanics and Engineering
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• v.30 no.4
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• pp.337-343
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• 2022

The electrical resistivity method is a well-known geophysical method for observing underground conditions, (such as anomalies) and the properties of soil and rock (such as porosity, saturation, and pore fluid characteristics). The shape of electrodes used in an electrical resistivity survey depends on the purpose of the survey and installation conditions. Most electrodes for field applications are cylindrical for sufficient contact with the ground, while some are conically sharpened at their tips for convenient penetration. Previous study only derived theoretical equations for rod-shaped electrodes with spherical tips. In this study, the theoretical resistance for two cylindrical electrodes with conical tips is derived and verified experimentally. The influence of the penetration depth and tip on the measurement is also discussed.

• Korean Journal of Environment and Ecology
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• v.12 no.3
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• pp.236-241
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• 1998

This study was to compare soil characteristics among Quercus mongolica communities that characterize the boreal-temperate deciduous forest in Korea. The classification of Quercus mongolica community and soil sampling were carried in Mt. Odae and Mt. Jungwang in Kangwondo from April of 1991 to October of 1994. The study area was classified as 5 Quercus mongolica communities with Braun-Blanquet method as follows; Quercus mongolica - Abies nephrolepis, Quercus mongolica - Acer pseudosieboldianum, Quercus mongolica - Lindera obtusiloba, Quercus mongolica - Acer mandshuricum, and Quercus mongolica - Carpinus cordata communities. Quercus mongolica - Abies nephorolepis community had the most shallow depth of A horizon(5cm) among communities, and root penetration was mainly from 0 to 10cm soil depth, and they had a dry soil moisture condition. Depth of A horizon of Quercus mongolica - Lindera obtusiloba and Quercus mongolica - Acer mandshuricum communities was about 20cm, and root penetration was mainly from 0 to 20cm soil depth, and they had a slightly dry soil moisture condition. Quercus mongolica - Acer mandshuricum, and Quercus mongolica -Carpinus cordata communities had the deepest depth of A horizon(35cm) and root was well developed over 45cm, and they had a moderately-slight dry soil condition. The soil organic matter, total N, exchangeable Ca, Mg and K concentration and CEC was the greatest in Quercus mongolica-Acer mandshuricum community and Quercus mongolica-Carpinus cordata community among communities. Quercus mongolica - Abies nephyolepis community had the smallest soil organic matter, total N, and CEC among communities. There were large differences among Quercus mongolica communities by soil properties and the result may be due to different habitat positions in the landscape among communities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.842-847
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• 2007

In this study, for the purpose of estimating the resisting moment of sloped ground based on level ground fall down safety equation in design specification, compute it depends on penetration depth of concrete pile applying modulus of foundation about the angle of internal friction, cohesion, unit weight of soil, classes of the ground, sandy or clay soil, and verify established study using L-Pile Plus13.8. Also, select four cases that characteristics of soil depending on the soil grade is considered and compute the 12m length concrete pile's resisting moment of the ground those angle is changing from $0^{\circ}{\sim}35^{\circ},\;step\;5^{\circ}$. In the result, identify that the resisting moment of ground decreases depending on ground slope. Thus, increasing of penetration depth is required.

• Journal of the Korean Geotechnical Society
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• v.25 no.6
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• pp.47-57
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• 2009

In this study, the ultimate lateral load capacity of pile driven into multi-layered soil was estimated using cone penetration test results and a method was proposed to reflect multi-layered soil conditions. For multi-layered specimens prepared with different relative density at different layers, the cone penetration tests and lateral pile load tests were conducted. Based on the test results, measured and estimated values of the ultimate lateral load were compared and analyzed. The estimated results were obtained from the methods proposed by Broms (1964), Petrasovits & Award (1972) and Prasad & Chari (1999). The method was proposed for modifying the earth pressure distribution of Prasad & Chari (1999) to consider multi-layered soil conditions. From the analysis, it was seen that results obtained from the proposed method showed improvement with less data scatter similarly to those obtained from Broms (1964) and Petrasovits & Award (1972)'s methods.

• Geomechanics and Engineering
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• v.31 no.1
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• pp.113-127
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• 2022

The undrained shear strength of soil is considered one of the engineering parameters of utmost significance in geotechnical design methods. In-situ experiments like cone penetration tests (CPT) have been used in the last several years to estimate the undrained shear strength depending on the characteristics of the soil. Nevertheless, the majority of these techniques rely on correlation presumptions, which may lead to uneven accuracy. This research's general aim is to extend a new united soft computing model, which is a combination of random forest (RF) with grasshopper optimization algorithm (GOA) to the pile set-up parameters' better approximation from CPT, based on two different types of data as inputs. Data type 1 contains pile parameters, and data type 2 consists of soil properties. The contribution of this article is that hybrid GOA - RF for the first time, was suggested to forecast the pile set-up parameter from CPT. In order to do this, CPT data and related bore log data were gathered from 70 various locations across Louisiana. With an R² greater than 0.9098, which denotes the permissible relationship between measured and anticipated values, the results demonstrated that both models perform well in forecasting the set-up parameter. It is comprehensible that, in the training and testing step, the model with data type 2 has finer capability than the model using data type 1, with R² and RMSE are 0.9272 and 0.0305 for the training step and 0.9182 and 0.0415 for the testing step. All in all, the models' results depict that the A parameter could be forecasted with adequate precision from the CPT data with the usage of hybrid GOA - RF models. However, the RF model with soil features as input parameters results in a finer commentary of pile set-up parameters.

• Geomechanics and Engineering
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• v.37 no.5
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• pp.475-498
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• 2024

The prediction of the susceptibility of soil to liquefaction using a limited set of parameters, particularly when dealing with highly unbalanced databases is a challenging problem. The current study focuses on different ensemble learning classification algorithms using highly unbalanced databases of results from in-situ tests; standard penetration test (SPT), shear wave velocity (V_s) test, and cone penetration test (CPT). The input parameters for these datasets consist of earthquake intensity parameters, strong ground motion parameters, and in-situ soil testing parameters. liquefaction index serving as the binary output parameter. After a rigorous comparison with existing literature, extreme gradient boosting (XGBoost), bagging, and random forest (RF) emerge as the most efficient models for liquefaction instance classification across different datasets. Notably, for SPT and V_s-based models, XGBoost exhibits superior performance, followed by Light gradient boosting machine (LightGBM) and Bagging, while for CPT-based models, Bagging ranks highest, followed by Gradient boosting and random forest, with CPT-based models demonstrating lower G_mean(error), rendering them preferable for soil liquefaction susceptibility prediction. Key parameters influencing model performance include internal friction angle of soil (ϕ) and percentage of fines less than 75 µ (F₇₅) for SPT and V_s data and normalized average cone tip resistance (q_c) and peak horizontal ground acceleration (a_max) for CPT data. It was also observed that the addition of V_s measurement to SPT data increased the efficiency of the prediction in comparison to only SPT data. Furthermore, to enhance usability, a graphical user interface (GUI) for seamless classification operations based on provided input parameters was proposed.

• Journal of the Korean GEO-environmental Society
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• v.15 no.1
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• pp.35-41
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• 2014

Many infra suructure such as road, railway, building and utility foundations have been damaged by the repeated freezing and thawing of the soil during winter and spring every year in seasonal frost region. The frost penetration depth is most important factor in the design of structure such as road, railway and building in seasonal frost region. This paper presents the results of calculation of frost penetration depth and frost heaving in concrete track for railway construction. Model concrete track were installed near the railway track in Gangwon, Gyeonggi, Choongbuk province and frost penetration depth were measured using methylene blue frost penetration depth gauge. Model concrete track in Cheolwon, frost heaving of concrete track were also evaluated. The measure of maximum frost penetration depth and frost heaving can be applied to design railway track for cold region in Korea.

• Journal of the Korean Geotechnical Society
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• v.35 no.2
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• pp.37-51
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• 2019

This study focuses on the numerical simulations of the cone penetration tests in a sand ground. The mechanical responses of sand were described using the modified Mohr Coulomb plasticity model based on the critical state soil mechanics. In the plasticity model, the dilatancy angle was not a constant, but a function of the distance to the critical state line from the current state of void ratio and mean effective stress. To simulate cone penetration tests numerically, this study relied on Lagrangian finite element method under the axisymmetric condition. To enable penetration of the cone penetrometer without tearing elements along the symmetric axis, the penetration guide concept was adopted in this study. The results of numerical simulations on the calibration chamber cone penetration tests had good agreement with the experimental results.

• Journal of Environmental Science International
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• v.18 no.9
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• pp.993-1000
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• 2009

The development of a new type of soil-cement concrete pavement using volcaniclastic is the main purpose of this study. Various mixture ratios, specimens' penetration resistance, time of setting, slump flow of fleshly mixed concrete, compressive strength and color characteristics of hardened concrete were studied. It was concluded that the optimum weight ratio of cement:volcaniclastic to produce good properties of soil-cement concrete is 1:3 and the use of volcaniclastic as main aggregate can improve the concrete surface color that is warm earth-tone road color. Therefore, commercial development for soil-cement concrete pavement using volcaniclastic is highly promising.

• Proceedings of the Korean Geotechical Society Conference
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• 2000.03b
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• pp.191-198
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• 2000

Dynamic fatigue test is carried out using soil model box for the evaluation of performance of three different roadbed materials. Bearing capacity, settlement and mud pumping phenomenon of each roadbed materials as well as penetration of model ballast into the roadbeds are investigated. It was found that settlement of slag and crushed stone roadbed is smaller than the soil roadbed during dynamic fatigue test with same initial conditions.