• 대한기계학회논문집A
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• 제36권5호
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• pp.513-521
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• 2012

본 연구의 목적은 손상모델의 온도의존성을 고려하여 압력용기강의 취성파괴 거동을 평가하는 것이며, 이를 위해 다중 섬 유전자알고리즘과 와이블 응력모델을 연계하여 대표적 취성파괴 손상모델의 재료상수 결정절차를 개선하였다. 벽개파괴가 예상되는 $-60^{\circ}C$, $-80^{\circ}C$, $-100^{\circ}C$ 온도에서 수행한 SA508 탄소강 재료의 파괴 인성 실험 데이터를 사용하여 개선된 절차에 따른 재료상수를 결정하였고, NUREG/CR-6930과 동일한 결과인 재료상수의 온도의존성을 확인하였다. 최종적으로는 손상모델 재료상수의 온도의존성에 따른 2-매개변수 와이블 응력모델과 3-매개변수 와이블 응력모델의 차이를 정량화하였으며, 공학적으로 활용 가능한 관계식을 제안하였다.

• Journal of Radiation Protection and Research
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• 제33권2호
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• pp.67-76
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• 2008

본 연구에서는 국내 4개 원전 부지에서 가동 중인 20기에 대한 보건영향을 평가하였다. 이를 위해 국제원자력기구가 최근 개발하여 보급하고 있는 원전에 대한 평가도구인 '뉴크팩스(NukPacts) 모형'을 활용하였다. 국내 원전의 부지별 피폭 경로에 따른 중대 영향인자를 분석하고 보건영향 발생 빈도를 비교하며, 보건영향의 연간 피해비용을 산출하여 발전량당 피해비용을 유럽 국가의 산출 결과와 비교하였다. 동일 배출량 조건 하에서의 상대적 중요도, 피폭 경로의 상대적 중요도 및 연도별 경향 분석 등을 통해 부지별로 가장 크게 영향을 미치는 방사성물질을 분석하여 최소 비용으로 그 효과를 극대화할 수 있는 방안을 도출하였다. 주요 입력 파라미터의 변화에 따른 영향을 분석하기 위하여 인구 밀도, 유효 배출 고도 등에 대한 민감도 분석을 수행하였다.

• 한국항만학회지
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• 제13권1호
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• pp.101-112
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• 1999

Traffic accidents increase with the increase of the vehicles in operation on the street. Especially big traffic accidents composed of over 3 killed or 20 injured accidents with the property damage become one of the serious problems to be solved in most of the cities. The purpose of this study is to build the discrimination model on big traffic accidents using the Quantification II theory for establishing the countermeasures to reduce the big traffic accidents. The results are summarized as follows. 1)The existing traffic accident related model could not explain the phenomena of the current traffic accident appropriately. 2) Based on the big traffic accident types vehicle-vehicle, vehicle-alone, vehicle-pedestrian and vehicle-train accident rates 73%, 20.5% 5.6% and two cases respectively. Based on the law violation types safety driving non-fulfillment center line invasion excess speed and signal disobedience were 48.8%, 38.1% 2.8% and 2.8% respectively. 3) Based on the law violation types major factors in big traffic accidents were road and environment, human, and vehicle in order. Those factors were vehicle, road and environment, and human in order based on types of injured driver’s death. 4) Based on the law violation types total hitting and correlation rates of the model were 53.57% and 0.97853. Based on the types of injured driver’s death total hitting and correlation rates of the model were also 71.4% and 0.59583.

• 한국수자원학회논문집
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• 제33권6호
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• pp.681-688
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• 2000

수해에 따른 피해확대를 방지하기 위해서는 지역주민의 피난행동양식의 분석 및 관련정보의 공개 등과 같은 제반 정보를 활용한 재해위기관리의 대책이 불가피하다. 본 연구에서는 수해의 대응대책 중 특히 인명보호의 차원에서 중요한 피난활동을 대상으로 실제 피난행동을 하기까지의 영향요인을 분석하였다. 피난행동을 규정하는 심리적인 영향요인에 대해서는 주민의 의식조사를 토대로 내.외적인 요인으로 분류하여 도출하였으며, 수량화(II) 이론을 이용하여 수해에 대한 주민의 의식 및 행동양식을 지리적.사회적 영향인자와 관련하여 분석하였다. 또한 GIS를 이용한 유역정보의 축적 및 활용을 통하여 유역주민이 재해에 대한 자주적인 판단능력을 고양함으로써 수해에 따른 피해를 최소화하는 방안에 대하여 고찰하였다.

• Agricultural and Biosystems Engineering
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• 제5권1호
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• pp.10-20
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• 2004

Precision agriculture aims to minimize costs and environmental damage caused by agriculture and to maximize crop yield and profitability, based on information collected at within-field locations. In this process, quantification of soil physical properties, including soil strength, would be useful. To quantify and manage variability in soil strength, there is need for a strength sensor that can take measurements continuously while traveling across the field. In this paper, preliminary analyses were conducted using two datasets available with current technology, (1) cone penetrometer readings collected at different compaction levels and for different soil textures and (2) tillage draft (TD) collected from an entire field. The objective was to provide information useful for design of an on-the-go soil strength profile sensor and for interpretation of sensor test results. Analysis of cone index (CI) profiles led to the selection of a 0.5-m design sensing depth, 10-MPa maximum expected soil strength, and 0.1-MPa sensing resolution. Compaction level, depth, texture, and water content of the soil all affected CI. The effects of these interacting factors on data obtained with the soil strength sensor should be investigated through experiments. Spatial analyses of CI and TD indicated that the on-the-go soil strength sensor should acquire high spatial-resolution, high-frequency ($\ge$ 4 Hz) measurements to capture within-field spatial variability.

• Nuclear Engineering and Technology
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• 제48권3호
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• pp.820-830
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• 2016

Pipe wall thinning by flow-accelerated corrosion and various types of erosion is a significant and costly damage phenomenon in secondary piping systems of nuclear power plants (NPPs). Most NPPs have management programs to ensure pipe integrity due to wall thinning that includes periodic measurements for pipe wall thicknesses using nondestructive evaluation techniques. Numerous measurements using ultrasonic tests (UTs; one of the nondestructive evaluation technologies) have been performed during scheduled outages in NPPs. Using the thickness measurement data, wall thinning rates of each component are determined conservatively according to several evaluation methods developed by the United States Electric Power Research Institute. However, little is known about the conservativeness or reliability of the evaluation methods because of a lack of understanding of the measurement error. In this study, quantitative models for UT thickness measurement deviations of nuclear pipes and fittings were developed as the first step for establishing an optimized thinning evaluation procedure considering measurement error. In order to understand the characteristics of UT thickness measurement errors of nuclear pipes and fittings, round robin test results, which were obtained by previous researchers under laboratory conditions, were analyzed. Then, based on a large dataset of actual plant data from four NPPs, a quantitative model for UT thickness measurement deviation is proposed for plant conditions.

• Archives of Pharmacal Research
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• 제25권5호
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• pp.647-651
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• 2002

An LC/MS/MS method for the simultaneous determination of a neuroprotective agent for ischemia-reperfusion damage, KR-31378 and its N-acetyl metabolite KR-31612 in human plasma was developed. KR-31378, KR-31612 and the internal standard. KR-31543 were extracted from human plasma by liquid-liquid extraction. A reverse-phase HPLC separation was performed on Luna phenylhexyl column with the mixture of acetonitrile-5 mM ammonium formate (55:45, v/v) as mobile phase. The detection of analytes was performed using an electrospray ionization tandem mass spectrometry in the multiple reaction monitoring mode. The lower limits of quantification for KR-31378 and KR-31612 were 2.0 ng/ml. The method showed a satisfactory sensitivity, precision, accuracy, recovery and selectivity.

• Nuclear Engineering and Technology
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• 제53권2호
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• pp.498-508
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• 2021

Micro reactors are increasingly being considered for utilization as distributed power sources. Hence, the probabilistic safety assessment (PSA) of a direct supercritical-CO₂-cooled fast reactor, called micro modular reactor (MMR), was performed in this study; this reactor was developed using innovative design concepts. It adopted a modular design and passive safety systems to minimize site constraints. As the MMR is in its conceptual design phase, design weaknesses and valuable safety insights could be identified during PSA. Level 1 internal event PSA was carried out involving literature survey, system characterization, identification of initiating events, transient analyses, development of event trees and fault trees, and quantification. The initiating events and scenarios significantly contributing to core damage frequency (CDF) were determined to identify design weaknesses in MMR. The most significant initiating event category contributing to CDF was the transients with the power conversion system initially available category, owing to its relatively high occurrence frequency. Further, an importance analysis revealed that the safety of MMR can be significantly improved by improving the reliability of reactor trip and passive decay heat removal system operation. The findings presented in this paper are expected to contribute toward future applications of PSA for assessing unconventional nuclear reactors in their conceptual design phases.

• Journal of Electrochemical Science and Technology
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• 제9권4호
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• pp.276-281
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• 2018

High concentration of copper in mezcal, a representative Mexican spirituous alcoholic beverage, is a serious problem due to the damage that it may cause to human health. A cyclic voltammetry and square wave anodic stripping voltammetry study of copper (II) in three commercial mezcal samples based on glassy carbon electrode response was undertaken. The analysis was developed using a simulated matrix solution ($EtOH/H_2O$ (1:1), 0.1 M $LiClO_4$ and AcOH/AcONa 0.05 M/0.008 M), with Cu (II) concentrations in the range 0 - 1 ppm. Direct electrochemical analysis of mezcal samples was complicated by the presence of different organic compounds in the matrix. The analytical signal of Cu (II) in the spirituous was notably improved and the interferences caused by organic compounds were minimized, by diluting the mezcal samples 10% with $EtOH/H_2O$ (1:1) solution. An efficient quantification of Cu (II) was obtained from the calibration curve by the SWASV and using the internal standard method (Cd (II)) in commercial samples (1.2-6.7 ppm); the results were correlated satisfactorily with the values obtained by AAS.

• Wind and Structures
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• 제28권4호
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• pp.225-238
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• 2019

In this paper a novel and efficient computational framework to estimate the stress range versus number of cycles curves experienced by a cable due to external excitations (e.g., seismic excitations, traffic and wind-induced vibrations, among others) is proposed. This study is limited to the wind-cable interaction governed by the Vortex Shedding mechanism which mainly rules cables vibrations at low amplitudes that may lead to their failure due to bending fatigue damage. The algorithm relies on a stochastic approach to account for the uncertainties in the cable properties, initial conditions, damping, and wind excitation which are the variables that govern the wind-induced vibration phenomena in cables. These uncertainties are propagated adopting Monte Carlo simulations and the concept of importance sampling, which is used to reduce significantly the computational costs when new scenarios with different probabilistic models for the uncertainties are evaluated. A high fidelity cable model is also proposed, capturing the effect of its internal wires distribution and helix angles on the cables stress. Simulation results on a 15 mm diameter high-strength steel strand reveal that not accounting for the initial conditions uncertainties or using a coarse wind speed discretization lead to an underestimation of the stress range experienced by the cable. In addition, parametric studies illustrate the computational efficiency of the algorithm at estimating new scenarios with new probabilistic models, running 3000 times faster than the base case.