• 한국항공운항학회지
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• 제23권2호
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• pp.1-6
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• 2015

The RSA is intended to prevent the following five types of events from becoming an accident: landing overruns, landing undershoots, landing veer-offs, takeoff overruns and takeoff veer-offs. The improved models are based on evidence from worldwide accidents and incidents that occurred during the past 27 years. The analysis utilizes historical data from the specific airport and allows the user to take into consideration specific operational conditions to which movements are subject, as well as the actual or planned RSA conditions in terms of dimensions, configuration, type of terrain, and boundaries defined by existing obstacles. This paper shows how to apply the improved models for Risk Assessment of Runway Safety Areas (Airport cooperative research program(ACRP) Report 50) into an airport and the outcome differences between the old models based on ACRP report 3-Analysis of aircraft overrun and undershoots for runway safety areas and the new models from ACRP report 50 in the specific airport.

• Nuclear Engineering and Technology
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• 제46권1호
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• pp.11-26
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• 2014

The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) are affected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantified coherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can be taken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment is typically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST) framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The main contributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build the Dempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesian updating based on plant specific data into the framework. The results of the application to a case study show that the approach is feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii) providing 'conservative' bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the (limited) state of knowledge of the experts about the system of interest.

• The Korean Journal of Physiology and Pharmacology
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• 제23권5호
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• pp.295-303
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• 2019

A heart simulator, UT-Heart, is a finite element model of the human heart that can reproduce all the fundamental activities of the working heart, including propagation of excitation, contraction, and relaxation and generation of blood pressure and blood flow, based on the molecular aspects of the cardiac electrophysiology and excitation-contraction coupling. In this paper, we present a brief review of the practical use of UT-Heart. As an example, we focus on its application for predicting the effect of cardiac resynchronization therapy (CRT) and evaluating the proarrhythmic risk of drugs. Patient-specific, multiscale heart simulation successfully predicted the response to CRT by reproducing the complex pathophysiology of the heart. A proarrhythmic risk assessment system combining in vitro channel assays and in silico simulation of cardiac electrophysiology using UT-Heart successfully predicted drug-induced arrhythmogenic risk. The assessment system was found to be reliable and efficient. We also developed a comprehensive hazard map on the various combinations of ion channel inhibitors. This in silico electrocardiogram database (now freely available at http://ut-heart.com/) can facilitate proarrhythmic risk assessment without the need to perform computationally expensive heart simulation. Based on these results, we conclude that the heart simulator, UT-Heart, could be a useful tool in clinical medicine and drug discovery.

• 한국지하수토양환경학회지:지하수토양환경
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• 제12권1호
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• pp.73-86
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• 2007

위해성에 근거한 복원 전략(risk-based remediation strategy, RBRS)은 위해성평가를 통하여 오염지역의 위해성 또는 오염원을 효율적으로 관리하기 위한 의사결정과정 중의 일부로서, 토양에 존재하는 독성물질이 인간이나 생태계와 같은 수용체로 전이되어 발현되는 독성을 감소시키는 것을 목적으로 한다. 토양오염에 대한 위해성평가는 토양에서 대기로 확산되어나가는 오염물질의 흡입, 토양에서 지하수로 용출된 오염물질의 섭취, 토양 자체의 섭취와 접촉 등에 의한 위해성평가를 포함하며, 오염물질의 특성뿐만 아니라 수리지질학적 자료, 토지이용용도, 수용체의 특성 등 현장의 특이적인 요소들을 충분히 고려해야 한다. 위해성에 근거한 복원전략은 위해성산정을 위한 현장조사로부터 시작하여, 구체화된 노출경로모델(conceptual site model, CSM)의 작성, 목표위해성 수준의 결정, 오염물질의 물리화학적 특성 및 독성학적 자료의 수집을 거쳐, 일반적이고 보수적인 조건 하에 가장 안전한 목표정화수준을 산정하는 Tier 1 평가와 보다 정확한 오염현장의 조사를 통하여 현장특수성을 반영하는 Tier 2 평가를 단계적으로 적용한다. 현장의 오염농도가 Tier 1으로 결정된 허용오염수준(risk-based screening level, RBSL)보다 높은 경우 Tier 2를 실시하여 현장의 특수성을 반영하는 목표정화수준(site-specific target level)을 산정하며, 이를 통하여 오염지역에 대한 과도한 정화처리나 비경제적인 복구사업 등을 피할 수 있다. 위해성에 근거한 복원전략은 이 밖에도 오염지역의 복원우선순위 결정, 토지이용용도에 따른 위해성 관리기준 수립 등 다양한 활용성을 가지지만, 여러 가지 전제조건들과 현장조사 시에 발생하는 현실적 한계 등으로 인하여 불확실성을 가진다. 이를 극복하기 위하여 정확한 CSM의 작성, 복합오염에 대한 고려, 오염물질의 이동과 거동에 영향을 미치는 환경매질의 특성과 모델 입력변수 등을 신중하게 검토해야 하며, 신뢰할 만한 현장조사기법과 독성검사기법의 확립, 국내실정에 맞는 토양 및 지하수 특성자료와 인체 노출인자 등에 대한 연구가 지속적으로 이루어져야 할 것이다.

• 디지털콘텐츠학회 논문지
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• 제18권6호
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• pp.1127-1134
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• 2017

본 연구는 한국형 복합재난 피해 분석 예측 시스템 개발의 첫 단계로써 국내 외 재난 재해위험도 평가시스템을 분석하고 이를 기반으로 한국형 재난재해 주요 인벤토리를 구축하였다. 우선, 지진 재해를 대상으로 손실 평가를 위한 한국형 인벤토리의 설계 및 국내 외 해당 데이터의 국가적 환경의 상이함을 반영하여 건물, 인구, 가중치 등 인벤토리를 구축하기 위한 관련 데이터의 수집과 정제를 진행하였다. 재난 데이터 자료연계, 추후 확장성을 고려한 자료 구축에 필요한 요구사항 분석 등을 수행하였으며, 한국형 복합재난 피해 분석 시스템 구축을 위한 인벤토리 구축 방향을 제시한다.

• Nuclear Engineering and Technology
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• 제49권2호
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• pp.360-372
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• 2017

Many advanced reactor designs rely on passive systems to fulfill safety functions during accident sequences. These systems depend heavily on boundary conditions to induce a motive force, meaning the system can fail to operate as intended because of deviations in boundary conditions, rather than as the result of physical failures. Furthermore, passive systems may operate in intermediate or degraded modes. These factors make passive system operation difficult to characterize within a traditional probabilistic framework that only recognizes discrete operating modes and does not allow for the explicit consideration of time-dependent boundary conditions. Argonne National Laboratory has been examining various methodologies for assessing passive system reliability within a probabilistic risk assessment for a station blackout event at an advanced small modular reactor. This paper provides an overview of a passive system reliability demonstration analysis for an external event. Considering an earthquake with the possibility of site flooding, the analysis focuses on the behavior of the passive Reactor Cavity Cooling System following potential physical damage and system flooding. The assessment approach seeks to combine mechanistic and simulation-based methods to leverage the benefits of the simulation-based approach without the need to substantially deviate from conventional probabilistic risk assessment techniques. Although this study is presented as only an example analysis, the results appear to demonstrate a high level of reliability of the Reactor Cavity Cooling System (and the reactor system in general) for the postulated transient event.

• Structural Engineering and Mechanics
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• 제77권1호
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• pp.19-35
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• 2021

Existing methods to estimate the probability of seismic pounding occurrence of adjacent buildings do not account for nonlinear behavior or only apply to simple lumped mass systems. The present study proposes an efficient method based on subset simulation for fragility and risk assessment of seismic pounding occurrence between nonlinear adjacent buildings neglecting pounding effects with application to finite element models. The proposed method is first applied to adjacent buildings modeled as elastoplastic systems with substantially different dynamic properties for different structural parameters. Seismic pounding fragility and risk of adjacent frame structures with different floor levels is then assessed, paying special attention to modeling the non-linear material behavior in finite element models. Difference in natural periods and impact location are identified to affect the pounding fragility simultaneously. The reliability levels of the minimum code-specified separation distances are also determined. In addition, the incremental dynamic analysis method is extended to assess seismic pounding fragility of the adjacent frame structures, resulting in higher fragility estimates for separation distances larger than the minimum code-specified ones in comparison with the proposed method.

• Ocean Systems Engineering
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• 제12권3호
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• pp.267-284
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• 2022

A subsea pipeline designed across active shipping lane prones to failure against external interferences such as anchorage activities, hence risk assessment is essential. It requires quantifying the geometric probability derived from ship traffic distribution based on Automatic Identification System (AIS) data. The actual probability density function from historical vessel traffic data is ideal, as for rapid assessment, conceptual study, when the AIS data is scarce or when the local vessels traffic are not utilised with AIS. Recommended practices suggest the probability distribution is assumed as a single peak Gaussian. This study compares several fitted Gaussian distributions and Monte Carlo simulation based on actual ship traffic data in main ship direction in an active shipping lane across a subsea pipeline. The results shows that a Gaussian distribution with five peaks is required to represent the ship traffic data, providing an error of 0.23%, while a single peak Gaussian distribution and the Monte Carlo simulation with one hundred million realisation provide an error of 1.32% and 0.79% respectively. Thus, it can be concluded that the multi-peak Gaussian distribution can represent the actual ship traffic distribution in the main direction, but it is less representative for ship traffic distribution in other direction. The geometric probability is utilised in a quantitative risk assessment (QRA) for subsea pipeline against vessel anchor dropping and dragging and vessel sinking.

• Journal of Forest and Environmental Science
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• 제31권4호
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• pp.297-302
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• 2015

With the intention to solve environmental problems caused by synthetic plastics from petroleum resources, biodegradable polyurethane foams and thermosetting moldings were prepared from biomass, such as wood and wheat bran by liquefaction method. Biodegradability of these biomass-based polymeric materials was investigated. In activated sludge, polyurethane foams from liquefied wheat bran and thermosetting molding from phenolated wood were decomposed approximately 14% and 29% for 20 days, respectively. One of the wood fungi, Coriolus versicolor was able to grow without supplemental nutrition, only with distilled water and polyurethane foam as a nutrition source. Risk assessments were also conducted and results showed that estrogenicity, mutagenicity, and carcinogenicity were not observed in the extractives of biomass- based polymeric materials.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.90-98
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• 2021

2017년부터 학교 급식업무에 대한 산업안전보건법이 전면 적용되고 그에 따라 2019년부터 위험성평가가 시행되었으나 타 업종에 비해 도입이 늦고 비전문가인 영양(교)사에 의해 평가되고 있어 제도 정착의 한계가 있었다. 서울시교육청 산하 모든 학교에서는 고용노동부의 학교 급식업무의 산업안전보건법 및 고용노동부 고시에 따라 매년 안전보건공단에서 제공하는 위험성평가 지원 시스템의 KRAS 기법을 적용하고 있다. 이렇듯 법적 규제에 따라 위험성평가를 적용하고 있으나 위험의 빈도와 강도 기준이 정성적이고 주관적이어서 평가자에 따라 다른 결과를 도출하여 위험성평가의 실효성이 의문시되었으나 지금까지 학교 급식업무에 대한 위험성평가와 관련된 연구는 없었다. 본 연구에서는 급식종사자의 재해통계를 바탕으로 위험의 빈도와 강도 기준을 정량적이고 객관적으로 제시하고 급식업무 중 일부 작업에 대해 새로운 산정기준을 적용하여 위험성평가를 실시하고 기존 위험성평가 결과와 비교하였다. 그 결과 위험도가 높아지고 그에 따른 개선방안이 구체적으로 제시되어 실효성 제고가 확인되었으므로 급식업무 전체에 대해 시범평가를 확대하고 타당성을 확인하여 모든 학교에 확대 적용함으로써 위험성평가의 실효성과 작동성 제고에 기여하기를 기대한다.