• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.223-229
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• 2012

Skid resistance is defined as the friction between pavement surfaces and vehicle tires. Lower skid resistances were observed as the vehicle speeds the water film thicknesses were increased according to the analysis results using computer modeling. The lift force is calculated from the analysis results and depends on vehicle speeds and the water film thickness. A modified IFI(international friction index) skid resistance prediction model was developed to reduce the differences between the IFI resistance prediction model and the actual skid resistance. The correlation analysis results between the IFI prediction model and the actual skid resistance revealed that the $R^2$ using the modified IFI prediction model was 0.64 whereas the $R^2$ using the conventional IFI prediction model was 0.49. This presents the modified prediction model is better than the conventional one. An improved precise prediction model is to be obtained if water film thicknesses are considered in the modified prediction model.

• Food Science and Preservation
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• v.15 no.1
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• pp.74-78
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• 2008

Desorption experiments were carried out on soybean (Taegwang) at 5, 15, 25, 35, $45^{\circ}C$ for moisture contents between 6.74 and 28.87%(db). The method employed was to measure the equilibrium relative humidity (ERH) of air in contact with the grain under static conditions, using an electronic hygrometer. The effects of temperature and moisture contents were investigated, and the measured values were fitted to the modified Henderson, the modified Chung-Pfost, the modified Halsey, the modified Oswin and the modified GAB model. The ERHs of soybean under the moiture content of 16.67%(db) decreased with an decrease in moisture content and temperature, but the ERH of the moisture content of 28.87%(db) material decreased with an increase of temperature. The modified GAB model was the best in describing the EMC/ERH of soybean.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.10
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• pp.887-894
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• 2013

Effective thermal conductivity of nanofluids has been predicted by using generalized self-consistent model and modified Eshelby model, which have been used for analysis of material properties of composites. A nanolayer between base fluid and nanoparticle, one of key factors for abrupt enhancement of thermal conductivity of nanofluids, is included in the analysis. The effective thermal conductivities of the nanofluid predicted by the present study show good agreement with those by models in the literature for the nanolayer with a constant or linear thermal conductivity. The predicted results by the present approach have been confirmed to be consistent with experiments for representative nanofluids such as base fluids of water or ethyleneglycol and nanoparticles of $Al_2O_3$ or CuO to be validated.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05d
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• pp.386-391
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• 1996

동경전력(주)가 도쿄만 근처에 건설한 높이-직경비가 비교적 큰 지진시험모델(TEPSCO모델)에 수행한 강제진동시험결과와 시험모델의 지진응답을 해석하고 분석하였다. 재료시험과 지반조사 결과를 이용하여 예측해석모델을 만들었고, 시험시에 계측된 측정치를 반영하여 예측해석모델을 수정하여 예측후상관해석모델을 작성하였다. 해석은 진동수영역과 시간영역에서 각각 이루어졌다. 연구결과로 TEPSCOT모델의 경우는 부지와 시험모델의 형상특성으로 인하여 지반의 재료감쇠비가 동적응답에 미치는 영향이 지배적이었음을 알 수 있었다.

• Tunnel and Underground Space
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• v.31 no.6
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• pp.440-459
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• 2021

Roadheaders have begun to be adopted in Korean tunneling sites. The performance prediction models proposed by the manufacturer are used by Korean construction companies. The models use UCS (uniaxial compressive strength) value to predict the net cutting rate, but the rock specimens conducted for the uniaxial compression test have 1.0 of the diameter to length ratio. It has been reported that the specimen shape generally influences the rock strength. The previous references studying the shape effect were cited, and the UCS data of Korean rocks are also updated to analyze the shape effect on UCS. The cause of effect was discussed by previous theory. The change amount of UCS values of Korean rocks was estimated by the data, and the modified prediction model for NCR was finally suggested.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.05b
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• pp.993-998
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• 1995

본 연구는 국제공동연구로 수행중인 Hualien 대형내진모델시험사업중 모델구조물에 대한 지진 응답 예측해석(blind prediction analysis)에 관한 것이다. 이 해석은 축대칭 무한요소를 이용하여 개발한 전산프로그램 KIESSI와 유연체적법에 의한 전산프로그램 SASSI를 이용하여 수행하였으며, 구조물 및 지반 특성은 뒷채움이 완료된 모델구조물에 대한 통일모델과 예측 후 상관해석 결과를 사용하였다. 그 결과 지진응답 예측해석 결과는 계측된 지진응답과 비교적 잘 일치하였으나 더 좋은 해석결과를 얻기 위해서는 구조물 및 지반 특성을 좀 더 수정할 필요가 있음을 알 수 있었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6B
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• pp.399-406
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• 2012

The objective of this research is to develop greenhouse gas generation models and estimation method of their parameters for solid waste landfills. Two models obtained by differentiating the Modified Gompertz and Logistic models were employed to evaluate two parameters of a first-order decay model, methane generation potential ($L_0$) and methane generation rate constant (k). The parameters were determined by the statistical comparison of predicted gas generation rate data using the two models and actual landfill gas collection data. The values of r-square obtained from regression analysis between two data showed that one model by differentiating the Modified Gompetz was 0.92 and the other model by differentiating the Logistic was 0.94. From this result, the estimation methods showed that $L_0$ and k values can be determined by regression analysis if landfill gas collection data are available. Also, new models based on two models obtained by differentiating the Modified Gompertz and Logistic models were developed to predict greenhouse gas generation from solid waste landfills that actual landfill generation data could not be available. They showed better prediction than LandGEM model. Frequency distribution of the ratio of Qcs (LFG collection system) to Q (prediction value) was used to evaluate the accuracy of the models. The new models showed higher accuracy than LandGEM model. Thus, it is concluded that the models developed in this research are suitable for the prediction of greenhouse gas generation from solid waste landfills.

• Nuclear Engineering and Technology
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• v.27 no.2
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• pp.189-202
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• 1995

An improved method is presented for the prediction of heat transfer coefficients in turbulent fall-ing liquid films with or without interfacial shear for both heating or condensation. A modified Mudawwar and El-Masri's semi-empirical turbulence model, particularly to extend its use for the turbulent falling film with high interfacial shear, is used to replace the eddy viscosity model incorporated in the unified approach unposed by Yih and Liu. The liquid film thickness and asymptotic heat transfer coefficients against the film Reynolds number for wide range of interfacial shear predicted by both present and existing methods are compared with experimental data. The results show that in general, predictions of the modified model agee more closely with experimental data than that of existing models.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.435-435
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• 2016

기후변화에 따라 강우 패턴이 변화하며, 집중호우 발생 빈도의 증가가 예상된다. 이로 인해 저수지 상류에서 유실된 토사는 저수지로 유입하여 정수 처리비용 증가, 1차생산성 감소, 어류폐사, 하천경관 악화 등 다양한 문제를 유발한다. 따라서 위와 같은 탁수 피해 저감을 위해 과학적인 모니터링과 예측, 저수지 운영과 관리기술 개발 등의 대응이 요구된다. 본 연구에서는 극한 탁수사상 발생시 대응 기술의 일환으로 저수지 탁수예측 모델의 신뢰도 향상을 위해, 기존 탁수예측 모형인 CE-QUAL-W2(이하 W2)의 탁수 예측 알고리즘을 개선하고 소양강댐 저수지에 적용하여 그 성능을 평가하였다. 최근 W2모델 3.72 버전까지 출시되었으나, 모델은 단순 침강속도만 고려하여 저수지 밀도 특성을 반영하지 못하고, TSS 모의시 독립침강을 가정하여 응집 침강 및 장기탁수 예측에 취약한 한계점을 가지고 있다. 따라서, 과거 연구내용을 바탕으로 수온에 따른 점성계수 변화(Stoke's), 다중 부유 입자별 침강속도 고려 기능을 추가하였으며, 새롭게 점착성유사의 응집 침강을 고려할 수 있는 기능을 추가하여 모델을 개선하였다. 모델에 점착성 유사 모의 전략은 입자 크기 $63{\mu}m$를 기준으로 비점착성유사(NCS)와 점착성유사(CS)로 구분하고, 비점착성유사는 독립침강, 점착성 유사는 응집침강을 가정하였다. 응집 후 중간 입경의 추정은 Gailani et al(1991)의 식을 사용하였으며, 침강속도 계산 공식은 Hwang and Mehta(1989)식을 적용하였다. 수정된 모델은 소양강댐 운영이후 최대 탁수사상이 발생했던 2006년을 대상으로 기존 탁수해석 결과와 수정된 모델의 모의결과를 실측값과 비교 분석 하였다. Stoke's 식 적용시 기존의 모의결과 대비 AME 평균 23%, RMSE 평균 18%가 개선되는 것으로 나타났으며, Hwang and Metha식 적용시에 SS 모의값이 전반적으로 과소평가되는 것으로 나타났다. 또한, 실측 방류 탁수 농도와 모의값을 비교하여 평가 하였으며, 모의기간인 Julian Day 173~365(192일) 동안 모의 결과의 총 TSS 부하량은 실측값의 약 80%수준을 보였으며, TSS 방류 부하기준 Stoke's 식 적용시 기존 모의대비 오차가 1.3% 개선되는 것으로 나타났다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.2
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• pp.227-242
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• 2019

This paper presents a method to predict ground types ahead of a tunnel face utilizing operational data of the earth pressure-balanced (EPB) shield tunnel boring machine (TBM) when running through soil ground. The time series analysis model which was applicable to predict the mixed ground composed of soils and rocks was modified to be applicable to soil tunnels. Using the modified model, the feasibility on the choice of the soil conditioning materials dependent upon soil types was studied. To do this, a self-organizing map (SOM) clustering was performed. Firstly, it was confirmed that the ground types should be classified based on the percentage of 35% passing through the #200 sieve. Then, the possibility of predicting the ground types by employing the modified model, in which the TBM operational data were analyzed, was studied. The efficacy of the modified model is demonstrated by its 98% accuracy in predicting ground types ten rings ahead of the tunnel face. Especially, the average prediction accuracy was approximately 93% in areas where ground type variations occur.