• 한국전산유체공학회:학술대회논문집
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• 2008.03a
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• pp.308-315
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• 2008

극저온 유체를 운반하는 선박의 화물창은 보통 1차 방벽과 2차 방벽으로 구성되어 있다. 1차 방벽에 소량의 극저온 유체의 누출이 생기더라도, 액밀이 되는 2차 방벽에서 추가적인 극저온 유체의 누출을 방지할 수 있기 때문이다. 그러나 2차 방벽에 추가적인 손상이 생길 경우 유리솜으로 만들어진 Flat Joint를 거쳐 선체내벽까지 극저온 유체에 노출될 가능성이 있게 된다. 본 연구의 관심사는 2차 방벽의 손상 정도에 따라, 그리고 누출되는 극저온 유체의 양에 따라, 내측선체에 얼마나 영향이 미치는가를 알아보는 것이다. 이를 위해 본 연구에서는 극저온 유체를 운반하는 선박의 화물창을 구성하는 2차 방벽에 구멍을 뚫어 Flat Joint 사이로 극저온 유체가 흘러 들어가도록 격자를 생성한 후, CFD 소프트웨어를 이용하여 극저온 유체의 누출에 대한 계산을 수행 하였으며 이를 실험 결과와 비교 분석 하였다. 실험과 계산 결과를 살펴보면, 극저온 유체량에 따라 내측 선체에의 피해를 최소화 할 수 있음을 확인하였다.

• 한국전산유체공학회:학술대회논문집
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• 2008.10a
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• pp.308-315
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• 2008

극저온 유체를 운반하는 선박의 화물창은 보통 1차 방벽과 2차 방벽으로 구성되어 있다. 1차 방벽에 소량의 극저온 유체의 누출이 생기더라도, 액밀이 되는 2차 방벽에서 추가적인 극저온 유체의 누출을 방지할 수 있기 때문이다. 그러나 2차 방벽에 추가적인 손상이 생길 경우 유리솜으로 만들어진 Flat Joint를 거쳐 선체내벽까지 극저온 유체에 노출될 가능성이 있게 된다. 본 연구의 관심사는 2차 방벽의 손상 정도에 따라, 그리고 누출되는 극저온 유체의 양에 따라, 내측선체에 얼마나 영향이 미치는가를 알아보는 것이다. 이를 위해 본 연구에서는 극저온 유체를 운반하는 선박의 화물창을 구성하는 2차 방벽에 구멍을 뚫어 Flat Joint 사이로 극저온 유체가 흘러 들어가도록 격자를 생성한 후, CFD 소프트웨어를 이용하여 극저온 유체의 누출에 대한 계산을 수행 하였으며 이를 실험 결과와 비교 분석 하였다. 실험과 계산 결과를 살펴보면, 극저온 유체량에 따라 내측 선체에의 피해를 최소화 할 수 있음을 확인하였다.

• Journal of the Society of Naval Architects of Korea
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• v.54 no.5
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• pp.415-420
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• 2017

Insulation systems in Liquefied Natural Gas Carriers (LNGC) are vulnerable to sloshing impact and fatigue loads because of waves. If gas leaks into the primary barrier, the Flexible Secondary Barrier (FSB) prevents the leakage of gas in this system. Fatigue strength of the FSB largely depends on the behavior of composite materials. In this study, a new system is applied to the FSB using aramid fiber to improve the fatigue strength of the secondary barrier, with the intention of replacing conventional E-glass fibers. The manufacturing method involved varying the ratio of the aramid fiber to the E-glass fiber for optimum design of the FSB. The fatigue tests results of the secondary barrier using aramid fiber were superior to that using E-glass fiber. The statistical analysis is performed to obtain the fatigue test results and estimate the probability of failure as well as the design guideline of LNGC secondary barriers.

• Journal of the Korean Society of Radiology
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• v.14 no.5
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• pp.545-552
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• 2020

The purpose of this study is to derive a lead thickness calculation formula for direct-shielded doors based on NCRP Report No.151 and IAEA Safety Report Series N0.47. After deriving the dose rate calculation formula for the direct shielded door, this formula was substituted for the lead shielding thickness calculation formula to derive the shielding thickness calculation formula at the door. The lead shielding thickness calculated from the derived direct shielded door shielding thickness calculation formula was about 6% lower than that calculated by the NCRP and IAEA secondary barrier shielding thickness calculation methods. This result is interpreted as meaning that the thickness calculation is more conservative from the NCRP and IAEA secondary barrier shielding thickness calculation methods and fits well for secondary beam shielding. In conclusion, it is thought that the formula for calculating lead shielding thickness of the direct shielded door derived in this study can be usefully used in the shield design of the door.

• Journal of the Society of Naval Architects of Korea
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• v.57 no.3
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• pp.168-174
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• 2020

Recently, the size of Liquified Natural Gas (LNG) carriers has been increasing, in turn increasing the load generated during operation. To handle this load, the thickness of LNG Cargo Containment Systems (CCSs) should be increased. Despite increasing the thickness of LNG CCSs, a secondary barrier is still used in conventional thickness. Therefore, the mechanical performance of the existing secondary barrier should be verified. In this study, tensile test of the secondary barrier was performed to evaluate mechanical properties under several low- and cryogenic-temperature conditions considering LNG environment, and in each fiber direction considering that the secondary barrier is composed of anisotropic composite materials depending on the glass fibers. Additionally, the coefficient of thermal expansion was measured by considering the degradation of the mechanical properties of the secondary barrier caused by the generated thermal stress during periodical unloading. As a result, the mechanical performance of secondary barrier in the Machine Direction (MD) was generally found to be superior than that in the Transverse Direction (TD) owing to the warp interlock structure of the glass fibers.

• Journal of the Society of Naval Architects of Korea
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• v.58 no.3
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• pp.137-143
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• 2021

In this study, the fracture strength of Flexible Secondary Barrier (FSB) composites was standardized by conducting a distribution analysis of the fracture probability, considering that the fracture strength of FSB composites such as glass fiber reinforced composites is relatively large. As the mechanical performance of FSB composites varies with the fiber direction, 20 replicate uniaxial tensile tests were performed for different temperatures ranging from the ambient to cryogenic conditions, considering the actual operating environment of liquefied natural gas. For the probability statistical analysis, the Weibull distribution analysis derived from the weakest link theory was used, considering the large variance in the fracture strength and brittle fracture behavior. The results of the Weibull distribution analysis were used to calculate the standard fracture strength of the FSB composites for different fiber directions. The findings can help ensure the reliability of the FSB mechanical properties in different fiber directions in the design of the secondary barrier and structural analyses.

• Journal of the Society of Naval Architects of Korea
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• v.58 no.4
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• pp.206-213
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• 2021

Recently, although the size of the LNG Cargo Containment System (CCS) has been increasing, the secondary barrier is reported to remain unchanged, and the conventional Flexible Secondary Barrier (FSB) used in Mark-III type has been pointed out to be vulnerable to failure owing to thermal and cyclic loads. In this respect, a tensile test was carried out to verify the reinforcing effect of FSB using aramid fiber on weft compared to the conventional FSB. In order to consider the LNG leakage situation, a series of tensile tests were conducted from ambient to cryogenic temperature, and mechanical properties were evaluated for each fiber direction on account of anisotropy. Tensile behavior and fracture analyses were performed to confirm the mechanical properties of each material according to temperature. Tensile test results proved that replacing the aramid fiber instead of E-glass fiber used on weft is effective in enhancing the mechanical properties.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.36-36
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• 2017

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.160.2-160.2
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• 2011

바다를 가로막는 방벽이나 방조제의 배수갑문 또는 조력발전소의 수문과 같이 인공 해양구조물을 통하여 흐르는 고속 해류를 이용하여 발전하는 해류발전 방식에 있어서, 고속 해류에 적합한 수차터빈과 발전기의 특성을 알아보았다. 조석간만의 차가 큰 지역에 설치되는 인공 해양구조물을 지나는 해류는 인공 해양구조물 전후에 발생하는 해수의 위치에너지 차이가 운동에너지로 바뀌면서 조석간만의 자연현상에 의해 발생되는 조류의 속도보다 훨씬 더 빠르게 흐른다. 이론적으로 우리나라의 서해안의 조석간만의 범위 3~8m로부터 7.5~12m/s 정도의 고속 해류가 가능하다. 이러한 경우에 적합한 해류발전기는 수차터빈 날개지름의 크기가 5m에서부터 12m 이하이면서, 증속기어박스와 발전기, 유압시스템 및 냉각시스템 그리고 전력변환장치를 포함하는 발전시설들을 해수면 위에 설치하는 것이 바람직하다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.123-131
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• 2021

The buffer is a key component of an engineered barrier system that safeguards the disposal of high-level radioactive waste. Buffers are located between disposal canisters and host rock, and they can restrain the release of radionuclides and protect canisters from the inflow of ground water. Since considerable heat is released from a disposal canister to the surrounding buffer, the thermal conductivity of the buffer is a very important parameter in the entire disposal safety. For this reason, a lot of research has been conducted on thermal conductivity prediction models that consider various factors. In this study, the thermal conductivity of a buffer is estimated using the machine learning methods of: linear regression, decision tree, support vector machine (SVM), ensemble, Gaussian process regression (GPR), neural network, deep belief network, and genetic programming. In the results, the machine learning methods such as ensemble, genetic programming, SVM with cubic parameter, and GPR showed better performance compared with the regression model, with the ensemble with XGBoost and Gaussian process regression models showing best performance.