The purpose of this study is to analyze effect of Army Risk Assessment System(ARAS) which is used to prevent safety accident in ROK army. Based on prior research, we select 4 indicators which are related to accident prevention effect and analyze the differences before and after ARAS operation for each indicators by using Paired-Samples T-Test. Also, we analyze the correlation between degree of ARAS operation and status of safety accidents of 112 ROK Army units. We conduct an evaluation of each function within the system using IPA method. The results of this study are as follows; All 4 indicators are improved compared to before ARAS operation, and the differences are statistically significant. Also, there is negative correlation between the degree of ARAS operation and the occurrence of safety accidents. So, the operation of ARAS has a positive effect on preventing safety accidents. Finally among the 15 functions of ARAS, 4 functions require improvement. The findings of this study have implications for proposing necessity of computerized system in enforcing Risk Assessment. Also, whether or not operating ARAS is important, but it is also important to operate it well. Lastly, We propose improvement plans for each function to operate it well.

Over the years, in the field of safety assessment of geological disposal system, system-level models have been widely employed, primarily due to considerations of computational efficiency and convenience. However, system-level models have their limitations when it comes to phenomenologically simulating the complex processes occurring within disposal systems, particularly when attempting to account for the coupled processes in the near-field. Therefore, this study investigates a machine learning-based methodology for incorporating phenomenological insights into system-level safety assessment models without compromising computational efficiency. The machine learning application targeted the calculation of waste degradation rates and the estimation of radionuclide flux around the deposition holes. To develop machine learning models for both degradation rates and radionuclide flux, key influencing factors or input parameters need to be identified. Subsequently, process models capable of computing degradation rates and radionuclide flux will be established. To facilitate the generation of machine learning data encompassing a wide range of input parameter combinations, Latin-hypercube sampling will be applied. Based on the predefined scenarios and input parameters, the machine learning models will generate time-series data for the degradation rates and radionuclide flux. The time-series data can subsequently be applied to the system-level safety assessment model as a time table format. The methodology presented in this study is expected to contribute to the enhancement of system-level safety assessment models when applied.

The timescale of safety assessment for a geological disposal system is considered up to hundreds of thousands of years when the radionuclides in spent nuclear fuel decay to levels comparable to natural radioactivity. During this long period, a variety of climate changes are expected to occur, including variations in temperature and precipitation as well as long-term sea level changes and glacial cycles. These climate changes can either directly affect water balance components or indirectly affect water balance by altering terrain and vegetation that have an impact on water balance. Water balance is a significant element of safety assessment, because it affects the radionuclide transport via groundwater flow, which in turn affects the radiological risk to humans and other biotas. Therefore, it is important to understand the hydrologic response to climate changes for proving the long-term safety of the disposal system. To this end, this study performed hydrological simulations using the SWAT (Soil and Water Assessment Tool) for several climate change scenarios. SWAT is the watershed-scale hydrological model developed by the USDA-ARS (United States Department of Agriculture - Agricultural Research Service) and has been widely used to quantify the water balance in a watershed. It calculates the hydrologic cycle based on the water balance equation with different physical processes for water balance components such as evapotranspiration, surface runoff, and groundwater recharge. This study assumed several climate change scenarios (e.g., variations in temperature and precipitation, sea level change, and formation of permafrost) and analyzed how the components of the water balance would respond under different scenarios and which scenarios would have the greatest impact on the water balance. These findings can provide valuable insights for future long-term safety assessments on the Korean Peninsula and can also be used as input data for the biosphere module of APro (Adaptive process-based total system performance assessment framework).

In this study, a structural health monitoring system for cable-stayed bridges is developed. In the system, condition assessment of the structure is performed based on measured records from seismic accelerometers. Response indices are defined to monitor structural safety and serviceability and derived from the measured acceleration data. The derivation process of the indices is structured to follow the transformation from the raw data to the outcome. The process includes noise filtering, baseline correction, numerical integration, and calculation of relative differences. The system is packed as a condition assessment program, which consists of four major processes of the structural health evaluation: (i) format conversion of the raw data, (ii) noise filtering, (iii) generation of response indices, and (iv) condition evaluation. An example set of limit states is presented to evaluate the structural condition of the test-bed and cable-stayed bridge.

In this study, algorithms for analyzing the torsion of buildings under earthquake excitation are developed. The algorithm and formulations to account for the torsional angle are verified by analyzing the seismic acceleration time history data. The method was applied to the reference buildings to examine their operation and usability. The reference application demonstrated that the noise-canceling scheme successfully overcame various obstacles in the field measurements. The developed method is expected to be used as a tool to support a loss assessment system for determining the direction and priority of disaster response in the event of an earthquake.

The Korea Atomic Energy Research Institute (KAERI) has developed geological repository systems for the disposal of high-level wastes and spent nuclear fuels (SNFs) in South Korea. The purpose of the most recently developed system, the improved KAERI Reference Disposal System Plus (KRS+), is to dispose of all SNFs in Korea with improved disposal area efficiency. In this paper, a system-level safety assessment model for the KRS+ is presented with long-term assessment results. A system-level model is used to evaluate the overall performance of the disposal system rather than simulating a single component. Because a repository site in Korea has yet to be selected, a conceptual model is used to describe the proposed disposal system. Some uncertain parameters are incorporated into the model for the future site selection process. These parameters include options for a fractured pathway in a geosphere, parameters for radionuclide migration, and repository design dimensions. Two types of SNF, PULS7 from a pressurized water reactor and Canada Deuterium Uranium from a heavy water reactor, were selected as a reference inventory considering the future cumulative stock of SNFs in Korea. The highest peak radiological dose to a representative public was estimated to be 8.19×10-4 mSv‧yr-1, primarily from 129I. The proposed KRS+ design is expected to have a high safety margin that is on the order of two times lower than the dose limit criterion of 0.1 mSv‧yr-1.

수입식품 안전관리 확보와 효율성 제고를 위한 목적으로 국가식품안전관리체계 평가도구를 활용하여 수출국의 국가식품안전관리체계 현황을 평가하고 이를 자국의 수입 식품안전관리에 활용하는 방안에 대한 논의가 미국을 중 심으로 진행되고 있다. 본 연구는 미국의 평가도구와 도구를 활용한 평가사례를 비교조사하고, 관계 전문가의 의 견을 검토하여 시사점을 도출하였다. 미국 FDA가 개발한 식품안전관리체계 평가도구는 외국의 식품안전 전문성을 이용하여 수입식품 안전성을 확보하기 위하여 마련되었으 며, 평가도구는 10개 기준으로 구성되어 외국의 전반적인 식품안전관리 수준을 판단할 수 있도록 고안되어 있다. FDA는 평가도구를 활용하여 뉴질랜드와 캐나다를 대상으 로 평가를 실시하였으며 두나라 모두 미국의 식품안전관리체계와 동등한 것으로 인정하였다. 전문가 인터뷰에서는 국가식품안전관리체계 평가를 통해 수입 전 위생평가 와 수입식품의 국경검사 빈도관리에 활용함으로써 수입식품 안전관리에 있어 국가예산의 효율적인 배분과 대국민 신뢰도 향상에 기여할 것이며, 향후 국가식품안전관리체 계 평가에 대한 활용도 제고를 위해서는 국제적인 조화와 전문가·예산의 확보도 중요하다는 의견을 제시하였다. 미국의 평가도구 조사·분석과 전문가 인터뷰를 토대로 도출한 시사점으로는 국가식품안전관리체계 평가 논의의 국제적 흐름에 능동적으로 대응할 필요가 있으며, 국가식품 안전관리체계 평가도구를 활용하여 국내 식품안전관리체 계를 검토하는 것이 가능할 것이다. 아울러 식품안전관리 체계 평가결과는 수출입 안전관리에도 활용할 수 있을 것 으로 보이며, 이러한 국제흐름에 따라 향후에는 우리나라 자체 국가식품안전관리체계 평가도구를 개발하는 방안도 고려할 필요가 있다.

방사성폐기물 심지층 처분시스템의 안전성평가에서는 일반적으로 정상 시나리오 이외에 심지층 처분시스템이 외부 요인에 의해서 영향을 받는 비정상 시나리오를 추가적으로 고려하게 된다. 본 연구에서는 방사성폐기물 심지층 처분시스템의 비정 상 시나리오를 포함하는 복합피폭 시나리오에 대한 안전성평가를 위하여 비정상 시나리오를 구성하는 비정상 사건으로 지 진의 국내 발생 특성을 조사하였다. 이를 위하여, 국내(한반도)의 지진 자료에 대한 통계·확률적인 접근법으로 발생 특성을 조사하고, 이를 통해 미래의 지진 발생 특성을 예측하는 방법론과 함께 계산 예를 소개하였다. 그 결과, 국내 연간 지진 발생 빈도는 자료의 종류에 따라 그리고 최소 유효 지진규모에 따라 0.4 /yr에서 36.2 /yr까지 넓게 분포되었다. 최종적으로, 처분 시스템 안전성평가의 보수성 측면에서 위의 범위 내 최대값인 36.2 /yr가 국내 연간 지진 발생 빈도로써 제안되었고, 처분시 스템의 면적비를 고려하여 처분시스템 영향 반경 내 연간 지진 발생 빈도는 5.4×10-4 /yr로 계산되었다. 그리고, 이때의 최소 유효 지진 규모는 2.3이었다. 본 연구는 앞으로 비정상 사건들이 처분시스템에 미치는 영향에 대한 추가 연구와 함께 향후 복합피폭 시나리오를 고려한 심지층 처분시스템의 안전성평가 신뢰도 향상에 크게 기여할 것으로 판단된다.

In the safety assessment of the geological disposal system of the radioactive wastes, the abnormal scenarios, in which the system is impacted by the abnormal events, need to be considered in addition to the reference scenario. In this study, characterization and prediction of well intrusion as one of the abnormal events which will impact the disposal system were conducted probabilistically and statistically for the safety assessment. The domestic well development data were analyzed, and the prediction methodologies of the well intrusion were suggested with a computation example. From the results, the annual well development rate per unit area in Korea was about 0.8 well/yr/km2 in the conservative point of view. Considering the area of the overall disposal system which is about 1.5 km2, the annual well development rate within the disposal system could be 1.2 well/yr. That is, it could be expected that more than one well would be installed within the disposal system every year after the institutional management period. From the statistical analysis, the probabilistic distribution of the well depth followed the log-normal distribution with 3.0363 m of mean value and 1.1467 m of standard deviation. This study will be followed by the study about the impacts of the well intrusion on the geological disposal system, and the both studies will contribute to the increased reliability of safety assessment.

Hydrogen energy is expanding in range for civil use together with development of pollution-free power sources recently, and it is judged that the use of hydrogen will increase more as a part of carbon dioxide reduction measures according to the Climatic Change Convention. Especially, it is thought that the securement of safety of the used dispenser will be the biggest obstacle in the use of high-pressure hydrogen because the hydrogen station is operated in a high pressure. This study found risks in the process and problems on operation by making use of HAZOP(6 kinds), a qualitative safety evaluation technique, and FMEA(5 kinds), a fault mode effect analysis, for the hydrogen charging system at a hydrogen gas station, derived 6 risk factors from HAZOP and 5 risk factors from FMEA, and prepared measures for it.

The occupational health and safety accidents were continuously increased during handling, usage and manufacturing the chemical materials according to increase of small and medium sized enterprises in domestic industries. These accidents mainly resulted from insufficient occupational health and safety management and deteriorative facilities and focused on corresponding operation to minimize the damage of accidents after occurrence. But, it was required that we grasped the occurrence causes of occupational health and safety risk in handling, usage and manufacturing the chemical materials and develop the adequate corresponding operation and system according to the possible occurrence of occupational health and safety risk. This study deals with the development of risk assessment model to derive the risk and important risk of occupational health and safety and then help to construct the self-controlled occupational health and safety system for small and medium sized enterprises handling the chemical materials.

Prevention of the disasters is the best welfare to workers and it brings the growth and stability of an enterprise, finally uplifts the national competitiveness. Because small-scale businesses do not have safety and health managers, the government provides a wide range of safety and health management supports to small-scale businesses. However despite of this government's effort, the industrial accident rate of small-scale businesses does not decline, which is mainly because the projects are not differentiated according to the risk level of individual business. Therefore, this paper aims to obtain implications concerning a plan to conduct a reliable assessment of education through a safety job assessment, and to build a framework which may improve a technical area through the AHP analysis.

예로부터 선장은 경험적으로 기상, 선박 제원 상태 및 운항 일정을 고려하여 최적의 항로를 선택하여 항해하여 왔다. 이는 선장의 경험을 바탕으로 해류나 파랑에 대한 기상 예보 정보를 활용하여 최적항로를 결정하는 것으로 아직까지 선상에서 항로 결정을 보조해주는 디지털화한 시스템은 그 사례를 찾아보기 힘들다. 본 논문에서는 선박의 운항 효율성과 안전성의 관점에서 구성된 선상 최적 항로 안전 평가 시스템을 소개한다. 선사와 선장이 요구하는 효율적인 항해를 위해서는 도착예정시간 및 연료소모량을 최소로 하는 최적 항로를 구한다. 이는 선박의 파랑 중 부가저항에 기초를 둔 선속 저하 빚 마력 증가를 고려하여 계산한다. 안전성 관점에서는 3D 판넬법에 기초를 둔 선박의 내항 계산을 본 시스템에서 구현하여 내항 평가를 수행하며, 최종적으로 선박의 항로 안전 계획 및 평가를 위한 보조 수단이다.