• Title/Summary/Keyword: risk assessment method

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A Study on Evacuee′s Risk Assessment under Ship′s Fire (선박화재의 인명안전평가 해석)

  • 양영순;정정호;이재옥;공수철;여인철
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.04a
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    • pp.241-247
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    • 2001
  • A Fire Safety Evaluation Module(FSEM), which quantitatively evaluates the risk of evacuees when fire occurs in buildings or ships, is presented in this paper. The developed FSEM can be applied to multi-room structure. Basic input data for the FSEM are prepared by fire model and evacuation model. CFAST which is one of the existing fire models is used as fire model and MonteDEM evacuation model was developed for evacuation model, respectively. MonteDEM evacuation model makes use of distinct element method and Monte-Carlo simulation, and it can also take into consideration ground inclination by ship motions in order to simulate the real situation of evacuation. Some typical situations are modelled for illustrative examples and quantitative assessment of evacuee's risk under fire accident is carried out.

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Chemical Risk Assessment of Oxidizing Substances (산화성물질의 화학적 위험성 평가)

  • 정국삼
    • Journal of the Korean Society of Safety
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    • v.8 no.1
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    • pp.35-46
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    • 1993
  • This paper was concerned with the risk assessment about oxidizing substances as dangerous goods by burning test method. The sample. which was formed with the heaped cone-shape. was composed of solid oxidant and sawdust. The burning time of each sample was measured under the following various conditions circumstance temperature. mixing ratio of oxidizing substance and sawdust. particle size of sawdust and kinds of sawdust. As a results. the effective combustibility was gained when the sawdust content was 20∼30 wt.% in the sample and the lauan with -30+50 mesh was used. But. although the circumstance temperature increased. burning efficiency of the samples wet$.$e not affect by it. Finally. the average burning times were obtained by considering the weighting factors related on the mixing ratio and the circumstance temperature. And then. it were compared with the combustion risk level and the effects of cation and anion of oxidizing substances as dangerous goods.

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An Investigation into Capsizing Accident and Potential Technology for Vessel Stability Assessment

  • Long, Zhan-Jun;Jeong, Jae-Hun;Jung, Jin-Woo;Lee, Seung-Keon
    • Journal of Navigation and Port Research
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    • v.37 no.1
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    • pp.55-61
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    • 2013
  • In this paper, ship accidents are analyzed briefly and the main objective is to investigate a potential technological approach for risk assessment of vessel stability. Ship nonlinear motion equation and main parameters that induce ship capsizing in beam seas have analyzed, the survival probability of a ferry in random status have estimated and finally find out a risk assessment concept for ship's intact stability estimation by safe basin simulation method. Since a few main parameters are considered in the paper, it is expected to be more accurately for estimating ship survival probability when considering ship rolling initial condition and all other impact parameters in the future research.

A Study on Safety Cos Estimation Using Process Risk Assessment for Polyol Process (polyol공정에 대한 위험성 평가에 의한 안저비용 산정에 관한 연구)

  • Lee, Jun-Suk;Lee, Young-Soon;Park, Young-Ku
    • Journal of the Korean Society of Safety
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    • v.17 no.1
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    • pp.68-71
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    • 2002
  • A research on accident loss calculation for polyol process without safety management activities, and safety cost estimation using process risk assessment has been implemented. In order to estimate a magnitude of loss, accident scenarios were made by combining result made from HAZOP Study method with accident possibility analysis results implemented with FTA. Also effect assessment was implement for accident consequence of each scenario. And minimum possible loss cost has been calculated when safety investment do or not. Result from cost-benefit analysis was shown as approximately \335 billion(=USS44,000 billion), as cost after subtracting safety management cost from minimum possible loss cost.

Failure Risk Assessment of Reinforced Concrete Sewer Pipes on Crack-Related Defects (원심력철근콘크리관의 결함에 따른 심각도 평가 -균열 사례를 중심으로-)

  • Han, Sangjong;Shin, Hyunjun;Hwang, Hwankook
    • Journal of Korean Society of Water and Wastewater
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    • v.27 no.6
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    • pp.731-741
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    • 2013
  • CCTV inspection method has been used in Korea for more than 20 years, but there is no proper assessment system for sewer failure severity that considers the domestic circumstances. This study classified the defects caused by the overburden load of reinforced concrete sewer pipes depending on severity and developed defect code by analyzing the domestic CCTV inspection videos. The defect score was assigned to each defect code, and it was classified into 5 grades for the decision-making of repair and rehabilitation. The result of this study is expected to be useful for domestic CCTV inspectors to assess the sewer condition and helpful for managers to make a decision of repair and rehabilitation.

Probabilistic seismic risk assessment of simply supported steel railway bridges

  • Yilmaz, Mehmet F.;Caglayan, Barlas O.;Ozakgul, Kadir
    • Earthquakes and Structures
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    • v.17 no.1
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    • pp.91-99
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    • 2019
  • Fragility analysis is an effective tool that is frequently used for seismic risk assessment of bridges. There are three different approaches to derive a fragility curve: experimental, empirical and analytical. Both experimental and empirical methods to derive fragility curve are based on past earthquake reports and expert opinions which are not suitable for all bridges. Therefore, analytical fragility analysis becomes important. Nonlinear time history analysis is commonly used which is the most reliable method for determining probabilistic demand models. In this study, to determine the probabilistic demand models of bridges, time history analyses were performed considering both material and geometrical nonlinearities. Serviceability limit states for three different service velocities were considered as a performance goal. Also, support displacements, component yielding and collapse limits were taken into account. Both serviceability and component fragility were derived by using maximum likely hood methods. Finally, the seismic performance and critical members of the bridge were probabilistically determined and clearly presented.

Nutrition Intervention in a Gastric Cancer Patient With Gastrectomy for 12 Months: A Case Report

  • So Young Youn;Bo Eun Kim;Eun Mee Kim
    • Clinical Nutrition Research
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    • v.12 no.1
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    • pp.1-6
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    • 2023
  • Gastrectomy is the most effective method of treating gastric cancer, but it is commonly associated with weight loss, nutritional deficiencies, and the increased risk of malnutrition due to post-surgery complications, including gastric stasis, dumping syndrome, malabsorption, and maldigestion. Malnutrition is a risk factor for postoperative complications and poor prognosis. To prevent it and guarantee a quick recovery after surgery, continuous and individualized nutrition intervention should be performed both before surgery and postoperatively. The Department of Dietetics at Samsung Medical Center (SMC) performed nutritional status assessment before gastrectomy, initial nutritional assessment within 24 hours of admission, description of therapeutic diet after surgery, nutrition counselling before discharge, and nutritional status assessment and individual nutrition counselling after 1, 3, 6, and 12 months from surgery. This is a case report of a patient who underwent gastrectomy as well as intensive nutrition intervention in SMC.

An Application Study of Accident Analysis Method Based on Epidemiological Model to Improve Occupational Safety and Health Management System (사업장 안전보건관리체계 향상을 위한 역학모형 기반의 사고분석기법 활용 방안 연구)

  • Kyunghwan Kim;Kihyo Jung
    • Journal of the Korea Safety Management & Science
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    • v.25 no.2
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    • pp.9-15
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    • 2023
  • The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.

Probabilistic Safety Assessment of Nuclear Power Plants Using Bayes Method

  • Shim, Kyu-Bark
    • Communications for Statistical Applications and Methods
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    • v.8 no.2
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    • pp.453-464
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    • 2001
  • A commercial nuclear power station contains at least tow emergency diesel generators(EDG) to control the risk of severe core damage during station blackout accidents. Therefore, the reliability of the EDG's to start and load-run on demand must be maintained at a sufficiently high level. Probabilistic safety assessments(PSA) are increasingly being used to quantify the public risk of operating potentially hazardous systems such as nuclear power reactors. In this paper, to perform PSA, we will introduce three different types of data and use Bayes procedure to estimate the error rate of nuclear power plant EDG, and using practical examples, illustrate which method is more reasonable in our situation.

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Economic Assessment of a Wind Farm Project Using Least Square Monte-Carlo (LSMC) Simulation (최소자승몬테카를로 시뮬레이션을 이용한 풍력발전설비 투자계획)

  • Kim, Jin-A;Lee, Jong-Uk;Lee, Jae-Hee;Joo, Sung-Kwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.1
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    • pp.32-35
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    • 2011
  • The economic value of a wind farm project is influenced by various risk factors such as wind power output and electricity market price. In particular, there is uncertainty in the economic evaluation of a wind farm project due to uncertain wind power outputs, which are fluctuated by weather factors such as wind speed, and volatile electricity market prices. This paper presents a systematic method to assess the economic value and payback period of a wind farm project using Least Square Monte-Carlo (LSMC) simulation. Numerical example is presented to validate the effectiveness of the proposed economic assessment method for a wind farm project.