Abstract

The estimation of soil thermal resistivity is essential for many types of big engineering projects because of the required knowledge about subsurface transmission of either heated fluids or high power currents. Thermal conductivity measurements were carried out at 12 locations, eight measurement point locations in South Kalimantan, the Sapu Angin hill region, sub-district Penyipatan and four points in the area of Kampung Baru, sub-district Pelaihari made at 2-3 variations in depth of 50 to 100 cm, which adjusted to the ability of the soil drilling support equipment to make holes in the soil. Samples were also collected from the locations for physical parameters description that influences thermal resistivity, subjected to grain size distribution and compaction analysis. The calculation of thermal conductivity is done by using CT-Lab software ver. 1.0.2 with a sensor resistance value of 82.69 ohms / m, heater voltage 4.0 V, and heater power 4.3857 W/m. The results show that the thermal conductivity values range from 0.593 to 3.239 W/mK. For the Sapu Angin hill region, sub-district Penyipatan, soil layers are generally in the form of sandy-clay (λ> 1.2 W/mK), but at some points, the value of thermal conductivity in these layers have decreased (λ <1.2 W/mK) due to rainwater infiltration (BH-02, BH-03, BH-04, BH-05, and BH-07). The infiltration causes weakening or loosening of bonds between the constituent particles of the soil. While in the area of Kampung Baru sub-district Pelaihari, the soil layer is generally in the form of sandy-clay, which has not well compacted (BH-08, BH-10, BH-12) with high water content (BH-09).

Highlights

  • The estimation of thermal resistivity of soils is essential for many kinds of engineering projects

  • Many researchers have demonstrated that soil thermal resistivity is a property of the soil that depends on various parameters such as type of soil, particle size distribution, and compaction characteristics

  • There are significant variations in the thermal conductivity of different soils, which mainly depend on the porosity, grain size distribution, and the water content

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Summary

Introduction

The estimation of thermal resistivity of soils is essential for many kinds of engineering projects. Potential hotspots are where the thinner cable type located in dry soil, which classified as thermal soil class B in this study These results show that coarsegrained soils with low water content have low thermal conductivity. There are significant variations in the thermal conductivity of different soils, which mainly depend on the porosity, grain size distribution, and the water content. If the cavity begins to fill with water, the effective contact area between the particles increases, thereby increasing heat conduction, this will cause a decrease in the thermal resistivity of the soil. The line chart is based on Equation (2) for temperature variations in the ground where t is the time, and z is the depth Besides these variables, the formula contains Tmean and Tamp, which is the mean temperature of the year and the most significant annual temperature amplitude, respectively.

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