A Method for Determining Thermal Conductivity of Soil Minerals
A thermal conductivity and mineral technology, applied in the field of geothermal thermal parameter testing, can solve the problems of calculation result error, calculation accuracy and limited scope of application, and achieve the effect of concise calculation program, convenient calculation and intuitive calculation method.
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Embodiment 1
[0019] The present invention proposes a method for determining the thermal conductivity of soil minerals, the method comprising the following steps:
[0020] (1) Determine the dry density ρ of saturated soil when the volume of soil and water account for 50% respectively according to formula (1) d , formula (1) is:
[0021]
[0022] In formula (1): ρ d is the dry density of saturated soil when the volume of soil and water account for 50%; d s is the density of solid matter in the soil, which is numerically equal to the relative density of the soil; V is the volume of the saturated soil;
[0023] (2) Calculate the moisture content w of the saturated soil when the soil-water volumes each account for 50% according to the formula (2), and the formula (2) is:
[0024]
[0025] In formula (2): w is the moisture content of saturated soil when the volume of soil and water account for 50%; d s is the density of solid-phase matter in the soil, which is numerically equal to the ...
Embodiment 2
[0031] Measure respectively that solid phase and water respectively account for 50% situation, the thermal conductivity of mica powder (solid phase) and water, gypsum powder (solid phase) and water, carbon powder (solid phase) and water mixture, in conjunction with method of the present invention and The method provided by patent 201710574906.8 estimates the thermal conductivity of mica powder, gypsum powder and carbon powder, and compares the estimated value with the measured value. The results are shown in Table 1.
[0032] Table 1 conventional method and the result comparison calculation of the inventive method
[0033]
[0034] It can be seen from Table 1 that the method of the present invention significantly improves the calculation accuracy of the patent 201710574906.8 method, and reduces the maximum error accuracy from 48.9% to 6.06%. The average prediction accuracy for the three tested materials decreased from 32.3% to 8.66%.
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