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Journal : U Karst

SOIL SHEAR STRENGTH PARAMETER ANALYSIS BASED ON BEHAVIOR ANALYSIS OF LANDSLIDE CASE Dyah Wahyu Apriani; Umar Mustofa; Rachmad Hidayat
U Karst Vol 4, No 2 (2020): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3265.81 KB) | DOI: 10.30737/ukarst.v4i2.1046

Abstract

Slope failure is a complex event. It can provide useful information about the condition of soil parameters on the failed slope in the same way it can provide an opportunity to evaluate the stability of other slopes. To evaluate the occurence of slope failure, unit weight data and shear strength properties of soil are needed, as well as methods of analysis including failure mechanisms. One of the methods used to evaluate landslide events is reverse analysis. In this study, reverse analysis was carried out on landslides that occurred on the slopes of D-D 'and F-F' at the Integrated Campus Building of the Institut Teknologi Kalimantan. The finite element method is used to analyze the safety number of the slopes under review. From the results of the reverse analysis, it was obtained that the soil parameters at the time of collapse in the top layer resulted in the value of unit weight (γ) = 20 kN / m2, Cohesion (c) = 2 kPa and Internal friction angle (φ) = 27 ° . Slope failure occured due to an increase in soil volume weight value, as well as a decrease in soil shear strength parameters, namely cohesion and internal friction angle.
Prediction of Soil Bearing Capacity in the Masterplan Area of the Kalimantan Institute of Technology based on GIS Dyah Wahyu Apriani; Dhea Safitri; Umar Mustofa; Christianto Credidi Septino Khala
U Karst Vol 6, No 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3544

Abstract

Prediction of bearing capacity and soil type is a requirement for the safety of construction before planning a building construction. Therefore, it is necessary to research the distribution of bearing capacity and conical resistance to determine soil conditions in an area. Based on CPT data, this study mapped cone resistance distribution and soil-bearing capacity distribution in the ITK masterplan area. The analysis was carried out by reviewing the 40 cm pile foundation at 11 m. The analysis was carried out using the Kriging, IDW, and Spline with Barriers methods. The bearing capacity was analyzed using the Trofimankove method. The mapping of the carrying capacity using the three interpolation methods results in a Qall value of around 26,024 – 87,835 tons. The cone resistance mapping results using the three interpolation methods show that the soil consistent in the ITK masterplan area is stiff, very stiff and Hard with a qc value of around 16,0804 – 259,54 kg/cm2. The ITK masterplan area has a type of foundation soil, which is hard. The comparison results obtained from mapping the cone resistance and the carrying capacity of the three interpolation methods used, the value of the range of qc and Qall closest to the sample data used is the IDW method 
SOIL SHEAR STRENGTH PARAMETER ANALYSIS BASED ON BEHAVIOR ANALYSIS OF LANDSLIDE CASE Dyah Wahyu Apriani; Umar Mustofa; Rachmad Hidayat
U Karst Vol. 4 No. 2 (2020): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v4i2.1046

Abstract

Slope failure is a complex event. It can provide useful information about the condition of soil parameters on the failed slope in the same way it can provide an opportunity to evaluate the stability of other slopes. To evaluate the occurence of slope failure, unit weight data and shear strength properties of soil are needed, as well as methods of analysis including failure mechanisms. One of the methods used to evaluate landslide events is reverse analysis. In this study, reverse analysis was carried out on landslides that occurred on the slopes of D-D 'and F-F' at the Integrated Campus Building of the Institut Teknologi Kalimantan. The finite element method is used to analyze the safety number of the slopes under review. From the results of the reverse analysis, it was obtained that the soil parameters at the time of collapse in the top layer resulted in the value of unit weight (γ) = 20 kN / m2, Cohesion (c) = 2 kPa and Internal friction angle (φ) = 27 ° . Slope failure occured due to an increase in soil volume weight value, as well as a decrease in soil shear strength parameters, namely cohesion and internal friction angle.
Prediction of Soil Bearing Capacity in the Masterplan Area of the Kalimantan Institute of Technology based on GIS Dyah Wahyu Apriani; Dhea Safitri; Umar Mustofa; Christianto Credidi Septino Khala
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3544

Abstract

Prediction of bearing capacity and soil type is a requirement for the safety of construction before planning a building construction. Therefore, it is necessary to research the distribution of bearing capacity and conical resistance to determine soil conditions in an area. Based on CPT data, this study mapped cone resistance distribution and soil-bearing capacity distribution in the ITK masterplan area. The analysis was carried out by reviewing the 40 cm pile foundation at 11 m. The analysis was carried out using the Kriging, IDW, and Spline with Barriers methods. The bearing capacity was analyzed using the Trofimankove method. The mapping of the carrying capacity using the three interpolation methods results in a Qall value of around 26,024 – 87,835 tons. The cone resistance mapping results using the three interpolation methods show that the soil consistent in the ITK masterplan area is stiff, very stiff and Hard with a qc value of around 16,0804 – 259,54 kg/cm2. The ITK masterplan area has a type of foundation soil, which is hard. The comparison results obtained from mapping the cone resistance and the carrying capacity of the three interpolation methods used, the value of the range of qc and Qall closest to the sample data used is the IDW methodÂ