• Geomechanics and Engineering
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• 제11권6호
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• pp.771-785
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• 2016

The thermal conductivity of soils is an important property in energy-related geotechnical structures, such as underground heat pumps and underground electric power cable tunnels. This study explores the effects of geotechnical engineering properties on the thermal conductivity of soils. The thermal conductivities of quartz sands and Korean weathered silty sands were documented via a series of laboratory experiments, and its variations with effective stress, porosity, and water saturation were examined. While thermal conductivity was found to increase with an increase in the effective stress and water saturation and with a decrease in porosity, replacing air by water in pores the most predominantly enhanced the thermal conductivity by almost one order of magnitude. In addition, we have suggested an improved model for thermal conductivity prediction, based on water saturation, dry thermal conductivity, saturated thermal conductivity, and a fitting parameter that represents the curvature of the thermal conductivity-water saturation relation.

• 한국지열·수열에너지학회논문집
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• 제3권2호
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• pp.9-15
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• 2007

Thermal conductivity of rocks is one of the most important parameters in designing a geothermal heat pump system, because heat exchange rate depends primarily on thermal conductivity of rocks. In this paper, the measurement methods of thermal conductivity, thermal conductivity of rocks, and heat exchange rate are discussed.

• 열처리공학회지
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• 제15권1호
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• pp.21-24
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• 2002

The electrode materials for welding machine in automobile industry such as Cu-Cr, Cu-Zr and Cu-$Al_2O_3$ require the high electrical conductivity and the proper hardness. Therefore the effects of solution heat treatment and aging treatment on the electrical conductivity and hardness of Cu-0.8wt%Cr and Cu-1.2wt%Cr alloys have been investigated. Cu-0.8wt%Cr alloy showed the higher electrical conductivity and hardness than Cu-1.2wt%Cr alloy and both alloys showed the better electrical conductivity at $930^{\circ}C$ among 930, 980 and $1030^{\circ}C$ solution heat treatment temperatures. The electrical conductivity and hardness in both alloys were not affected by aging treatment but remarkably affected by solution heat treatment temperature. The final drawing process reduced electrical conductivity and increased hardness more in Cu-1.2wt%Cr alloy.

• 한국환경과학회지
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• 제24권7호
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• pp.939-946
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• 2015

Hydraulic conductivity is an important parameter in the analytical model of groundwater. This study analyzed the groundwater movement characteristics by estimating optimal parameters according to hydraulic conductivity input methods with the MODFLOW model which is widely used. It first estimated the optimal parameters by dividing hydraulic conductivity zones by attitude. Next, it estimated optimal parameters by geological characteristic. It analyzed the groundwater movement characteristics by applying the recharge quantity and amount of evapotranspiration of drought periods and flood years with the estimated parameters. As the result was analyzed that there are differences of observation water level values according to hydraulic conductivity input methods but there is no big differences of overall groundwater movement characteristics by hydraulic conductivity input method, the two methods have found to be applicability in analyses of groundwater. So, it is judged that studies on more exact application of hydraulic conductivity and the application methods are needed.

• 방사성폐기물학회지
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• 제19권3호
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• pp.331-338
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• 2021

Extensive studies have been conducted on thermal conductivity of bentonite buffer materials, as it affects the safety performance of barriers engineered to contain high-level radioactive waste. Bentonite is composed of several minerals, and studies have shown that the difference in the thermal conductivity of bentonites is due to the variation in their mineral composition. However, the specific reasons contributing to the difference, especially with regard to the thermal conductivity of bentonites with similar mineral composition, have not been elucidated. Therefore, in this study, bentonites with significantly different thermal conductivities, but of similar mineral compositions, are investigated. Most bentonites contain more than 60% of montmorillonite. Therefore, it is believed that the exchangeable cations of montmorillonite could affect the thermal conductivity of bentonites. The effect of bentonite type was comparatively analyzed and was verified through the effective medium model for thermal conductivity. Our results show that Ca-type bentonites have a higher thermal conductivity than Na-type bentonites.

• Nuclear Engineering and Technology
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• 제51권5호
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• pp.1398-1405
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• 2019

We use a molecular dynamics simulation to explore thermal transport in oxide nuclear fuels with point defects. The effect of vacancy and substitutional defects on the thermal conductivity of plutonium dioxide and uranium dioxide is investigated. It is found that the thermal conductivities of these fuels are reduced significantly by the presence of small amount of vacancy defects; 0.1% oxygen vacancy reduces the thermal conductivity of plutonium dioxide by more than 10%. The missing of larger atoms has a more detrimental impact on the thermal conductivity of actinide oxides. In uranium dioxide, for example, 0.1% uranium vacancies decrease the thermal conductivity by 24.6% while the same concentration of oxygen vacancies decreases the thermal conductivity by 19.4%. However, uranium substitution has a minimal effect on the thermal conductivity; 1.0% uranium substitution decreases the thermal conductivity of plutonium dioxide only by 1.5%.

• 콘크리트학회논문집
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• 제13권4호
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• pp.305-313
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• 2001

본 연구에서는 콘크리트 열전도율의 영향인자에 대하여 TLPP원리를 응용한 QTM-D3 장비를 이용하여 실험을 실시하였고, 이들 실험결과를 이용하여 콘크리트의 열전도율을 예측하는 모델식을 제안하였다. 본 연구를 통하여 얻은 결론은 다음과 같다. 콘크리트, 모르타르 및 페이스트의 열전도율에 미치는 주요 영향인자를 구명하기 위해 본 연구에서 선택된 실험변수는 재령, 골재 함유량, 시멘트 함유량, 결합재 종류, 잔골재율, 시편의 온도 및 함수상태로 총 7가지이다. 이중에서 골재 함유량과 함수상태가 콘크리트 열전도율의 주요 영향인자임을 알 수 있었다. 그리고 시멘트 사용량이 많은 페이스트나 모르타르의 경우 시멘트 함유량이나 결합재 종류에 의해서도 열전도율이 영향을 받고 있다. 그러나 재령은 콘크리트의 열전도율에 큰 영향을 미치지 않음을 알 수 있었다. 콘크리트 열전도율에 주요 영향인자인 골재 함유량, 잔골재율, 시편의 온도 및 함수상태를 이용하여 콘크리트의 열전도율을 계산할 수 있는 모델식을 제안하였다.

• 한국수산과학회지
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• 제22권5호
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• pp.219-227
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• 1989

효율적이고 신속한 어육의 선도측정을 위하여 시중에 유통되고 있는 몇가지 주요어종을 선정하여 이들의 선도를 저장온도에 따른 전기전도도 (electric conductivity)를 교류용 Kohlraush bridge, Wien bridge를 사용하여 제작한 Conductivity meter로 측정하여 다음과 같은 결과를 얻었다. 1. 냉동어육의 해동후 부패초기의 electric conductivity는 $6,100\pm({\mu}u/cm)$이었고 비동결어육인 방어와 쥐노래미 및 고등어의 부패초기 electric conductivity는 $20^{\circ}C$에서 $5,100\~5,400({\mu}u/cm)$로 냉동육에 비하여 약 $1,000({\mu}u/m)$낮았다. 2. VBN과 electric conductivity는 정상관관계를 가지며 부패초기 electric conductivity값이 나타났을 때의 VBN은 $30\~35mg\%$였다. 3. 적색육어인 고등어는 백색육보다 사후 시간의 경과와 더불어 electric conductivity의 온도의존성이 크다는 것을 알았다. 4. 고등어육의 electric conductivity를 $15^{\circ}C(\pm1^{\circ}C),\;20^{\circ}C(\pm1^{\circ}C),\;30^{\circ}C(\pm1^{\circ}C)$에서 저장시간과 관계를 측정, 온도계수 $Q_{10}=2.34$를 얻어 실측값과 유사함을 확인하였다. 5. 어류의 선도를 측정하는데 10초 내외의 짧은 시간에 비교적 정확한 결과를 얻을 수 있고 어육의 선도변화에 영향을 주는 요인들을 포괄적으로 지시하는 휴대용 Electric conductivity meter는 그 효용성이 높을 것으로 기대된다.

• 전자공학회논문지
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• 제49권9호
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• pp.287-292
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• 2012

본 논문에서는 액체의 전기 전도도를 저잡음으로 검출하기 위하여 동기복조를 이용하는 전도도 검출기를 설계한다. 이를 위하여 검출기는 반송파 발생기, 전도도 검출 셀, 전류-전압 변환기 및 동기 복조기로 구성하며, 복조기의 대역폭을 조정하여 검출기의 신호 대 잡음비(SNR)를 개선함으로써, 액체의 극미한 전도도도 용이하게 측정할 수 있도록 한다. 이의 응용 예로써, 반도체 공정의 공기감시용 전도도 검출기를 동기복조를 이용하여 설계하며, 실험을 통하여 설계의 타당성을 확인한다. 실험 결과, 검출기는 설계 성능에 부합하는 특성을 나타내므로, 동기복조를 이용한 전도도 검출기는 액체의 극미한 전도도 측정에 유용하게 사용될 수 있음을 입증하였다.

• 한국도로학회논문집
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• 제15권3호
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• pp.45-52
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• 2013

PURPOSES : This study is to construct the regression models of drainage asphalt concrete specimens and to provide the appropriate coefficients of hydraulic conductivity prediction models. METHODS: In terms of easy calculation of the hydraulic conductivity from porosity of asphalt concrete pavement, the estimation model of hydraulic conductivity was proposed using regression analysis. 10 specimens of drainage asphalt concrete pavement were made for measurement of the hydraulic conductivity. Hydraulic conductivity model proposed in this study was calculated by empirical model based on porosity and the grain size. In this study, it shows the compared results from permeability measured test and empirical equation, and the suitability of proposed model, using regression analysis. RESULTS: As the result of the regression analysis, the hydraulic conductivity calculated from the proposal model was similar to that resulted from permeability measured test. Also result of RMSE (Root Mean Square Error) analysis, a proposed regression model is resulted in more accurate model. CONCLUSIONS: The proposed model can be used in case of estimating the hydraulic conductivity at drainage asphalt concrete pavements in fields.