• Title/Summary/Keyword: total factor of safety

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A Study on Incidence of Risk Factor for Assessing Maritime Traffic Risk

  • Kim, Inchul
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.3
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    • pp.217-223
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    • 2017
  • In order to assess risk as a basic step for securing safety, it requires to select risk factors and determine the frequency and the severity of the consequence of each risk factor. This research adopted common risk factors among well-known maritime risk assessment models, and proposed objective criteria to gauge the risk level of each risk factor. The starting points of risk evolution were chosen for criteria according to related studies and seafarers' experience. The rate of risk appearance over the criteria is named as the incidence of risk factor. Therefore, the total risk level is expressed as the combination of incidence of each risk factor and severity. This quantitative method would be applied to measuring and comparing the risk level of target maritime zones, and it would also be useful to survey which risk factor be focused for reducing the total risk of a certain maritime zone.

Exploratory Factor Analysis Study on the Safety Culture of Highway Management Agencies (고속도로 관리기관의 안전문화에 대한 탐색적 요인분석 연구)

  • Jeong-Soo Seo;Kyung-Ok Jeong
    • Journal of the Korea Safety Management & Science
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    • v.26 no.1
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    • pp.55-61
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    • 2024
  • In this paper, in order to study the relationship between the safety culture of highway management agencies and disaster reduction activities (BCMS), a measurement tool was identified through previous research on safety culture, and the validity of the measurement tool was confirmed through exploratory factor analysis. I want to check. The subjects of the study were workers belonging to disaster reduction activity management system certification organizations among highway management organizations. The highway management agencies are the Korea Expressway Corporation, which manages the functional continuity of national highways nationwide, and 8 of the 21 private road agencies that manage the functional continuity of the highways. The safety culture measurement tool is an indicator that measures safety culture factors, and is reorganized by the researcher based on survey items from previous studies, with management/manager safety values and attitudes, safety communication, safety education and training, and safety regulations/management system as subfactors. A total of 24 questions were comprised of the survey tool. As a result of the study, the result of exploratory factor analysis was that the safety culture scale was extracted into four factors based on theoretical grounds, and the total cumulative variance was 80.360%. When checking the questions for each factor, it was found that all the questions loaded on the factor that was originally intended to be measured. Factor 1 is management, factor 2 is safety, and factor 3 is communication., Factor 4 was named education. Number of questions: 4 management questions, 3 safety questions, communication It consisted of 4 questions and 2 education questions.

Elementary School Students Development of a Scale to Measure the Outdoor School Safety Behavior in Elementary Students (초등학생 실외 학교생활 위험행위 측정도구 개발)

  • Park Kyung Min
    • Journal of Korean Public Health Nursing
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    • v.17 no.1
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    • pp.113-121
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    • 2003
  • Purpose : This study was performed to develop a scale of outdoor school safety behavior in Korean elementary students. Methods : A list of 40 items were selected by priori experiences of school health teachers and a literature review. For evaluation of the appropriateness of the 32 items, questionnaires were reviewed by an expert group which was consisted of 10 professionals. Validity of the 31 items was screened in this process with 4 point Likert scale. Using the preliminary tool. data were collected from 684 subjects for item analysis and factor analysis. A total of 26 items were remained, and items with the lower than 0.2 item-total correlation coefficient were removed. Factor analysis was done with these 26 items, and 26 items with factor loadings higher or equal to 0.4 were remained. Relsult : 1. Cronbach's alpha for the 26 items was 0.70 2. Five factors were identified with eigen value 1.0 These contributed $51.617\%$ of the variance in the total score. 3. Each factor was labled 'vonobserbance of safety rule', 'good habit for safety', 'careless action', 'lack of safety knowledge', 'injurious action to friend' It is suggested that this scale could be used to measure outdoor school safety behaviors among elementary students in Korea.

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Application of Margin of Safety Considering Regional Characteristics for the Management of Total Maximum Daily Loads (지역특성을 고려한 수질오염총량관리 안전부하량 적용)

  • Park, Jun Dae;Oh, Seung Young;Kim, Yong Seok
    • Journal of Korean Society on Water Environment
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    • v.30 no.3
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    • pp.351-360
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    • 2014
  • The allocation of margin of safety (MOS) at a uniform rate to all areas of the unit watershed makes it very difficult to keep the load allotment stable in the area for lack of reduction measures like forest land. This study developed an equation to calculate margin of safety differentially according to the regional characteristics. The equation was formulated on the basis of the regional characteristic factors such as a load contribution factor for land use type and a site conversion factor for the unit watershed. The load contribution factor represents a contribution of loads from a particular land use. The site conversion factor was derived from the site conversion ratio of a unit watershed. Margin of safety for the non-point pollution load in the land use sector decreased by 20~25% in three river basins. The margin of safety in the unit watersheds with low site occupation ratios decreased in high rate, while in the unit watersheds with large urban area decreased in low rate. With the application of the differential margin of safety considering regional characteristics, not only the reduction of pollution loads can become lighter but also it can be easier to develop plans for Total Maximum Daily Loads (TMDLs) even where the reduction measures are not available.

Developing the Vulnerability Factor Structure Affecting Injuries and Health Problems Among Migrant Seafood Processing Industry Workers

  • Jiaranai, Itchaya;Sansakorn, Preeda;Mahaboon, Junjira
    • Safety and Health at Work
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    • v.13 no.2
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    • pp.170-179
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    • 2022
  • Background: The vulnerability of international migrant workers is on the rise, affecting the frequency of occupational accidents at workplaces worldwide. If migrant workers are managed in the same way as native workers, the consequences on safety assurance and risk management will be significant. This study aimed to develop the vulnerability factor model for migrant workers in seafood processing industries because of significant risk-laden labor of Thailand, which could be a solution to control the risk effectively. Methods: A total of 569 migrant workers were surveyed (432 Burmese and 137 Cambodian), beginning with 40 initial vulnerability factors identified in the questionnaire established from experts. The data were analyzed through descriptive analysis; exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to ascertain the model. Results: The result of content validity >0.67 and the Cronbach's alpha of 0.957 specified the high reliability of 40 factors. The EFA indicated a total variance of 65.49%. The final CFA validated the model and had an empirical fitting; chi-square = 85.34, Adjust Goodness-of-Fit Index = 0.96, and root mean square error of approximation = 0.016. The structure concluded with three dimensions and 18 factors. Dimension 1 of the structure, "multicultural safety operation," contained 12 factors; Dimension 2, "wellbeing," contained four factors; and Dimension 3, "communication technology," contained two factors. Conclusion: The vulnerability factor structure developed in this study included three dimensions and 18 factors that were significantly empirical. The knowledge enhanced safety management in the context of vulnerability factor structure for migrant workers at the workplace.

Analysis on Reduction Effect Factors of Occupational Accident Fatalities in Construction Industry - Focusing on Economic and Workforce Factors - (건설업의 산업재해 사고사망자 감소 영향요인 분석 - 경제적 요인 및 노동력 요인을 중심으로 -)

  • Song, Byungchoon;Won, Jeong-Hun
    • Journal of the Korean Society of Safety
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    • v.35 no.2
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    • pp.55-60
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    • 2020
  • The purpose of this study is to analyze the influence of the economic and workforce factors on the annual number of occupational accident fatalities occurring at the construction sites. The considered variables of the economic factor are the amount of economic losses caused by industrial accidents, the GDP, and the total monthly wage for each economically active population. And, the variables related to the workforce factor are the number of economically active population, the number of female economically active population, and the number of labor union members. The multiple regression analysis was conducted to determine the effect of two factors on the total number of occupational fatalities in the construction industry. The results show that GDP among considered variables in the economic factor had a statistically significant negative relationship with the number of the construction accident fatalities in the construction industry. Among variables related to the workforce factor, economically active population showed a statistically significant negative relationship with the number of the construction accident fatalities.

A Three Dimensional Study on the Probability of Slope Failure(II) (사면(斜面)의 삼차원(三次元) 파괴확률(破壞確率)에 관(關)한 연구(硏究)(II))

  • Kim, Young-Su;Tcha, Hong-Jun;Jung, Sung-Kwan
    • Journal of Industrial Technology
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    • v.3
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    • pp.53-63
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    • 1983
  • The probability of failure is used to analyze the reliability of three dimensional slope failure, instead of conventional factor of safety. The strength parameters are assumed to be normal variated and beta variated. These are interval estimated under the specified confidence level and maximum likelihood estimation. The pseudonormal and beta random variables are generated using the uniform probability transformation method according to central limit theorem and rejection method. By means of a Monte-Carlo Simulation, the probability of failure is defined as; Pf=M/N N : Total number of trials M : Total number of failures Some of the conclusions derived from the case study include; 1. Three dimensional factors of safety are generally much higher than 2-D factors of safety. However situations appear to exist where the 3-D factor of safety can be lower than the 2-D factor of safety. 2. The F3/F2 ratio appears to be quite sensitive to c and ${\phi}$ and to the shape of the 3-D shear surface and the slope but not to be to the unit weight of soil. 3. In cases that strength parameters are assumed to be normal variated and beta variated, the relationships between safety factor and the probability of failure are fairly consistent, regardless of the shape of the 3-D shear surface and the slope. 4. As the c-value is increased, the probability of failure for the same safety factor is increased and as the ${\phi}-value$ is increased, the probability of failure for the same safety factor is decreased.

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Development of Plant Safety Information Management System for Preventive Maintenance (사전예방을 위한 설비안전정보시스템 개발)

  • Kim Tae Hwan;Yang Kwang Mo;Choi Seung Hee;Kang Kyung Sik
    • Journal of the Korea Safety Management & Science
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    • v.7 no.2
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    • pp.1-12
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    • 2005
  • TPM(Total Productive Management) that is enforcing introducing more than $80\%$ in domestic manufacturing industry is using total plant efficiency by the evaluation index, and as a result, can see a lot of examples that plant productivity is increased. This study's purpose centers total productive management activities that is management system for total plant efficiency's maximization, plant information system that total productive management activities factor that is enforcing in manufacturing industry can develop evaluation model that can evaluate qualitative activities by quantitative activities in process that maximize total plant efficiency wishes to do design.

Safety Assessment of Reinforced Concrete Members by Expected Total Cost Minimization (총기대비용최소화에 의한 R.C부재의 안전도 평가)

  • 이증빈;손용우;박주원
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1994.10a
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    • pp.152-159
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    • 1994
  • One of the main objectives of the study is to propose a pratical and realistic reliability analysis by ETCM(Expected Total Cost Minimization). This study is intended to propose the safety assesment and capacity rating of existing reinforced concrete members by evaluating the safety evaluation index, that is RF(Rating Factor) from the results of the field test and inspection for 5 reinforced concrete bridges. ETCM method is used for the reliability analysis of the proposed models. The proposed reliability model and method are applied the safety assesment and system factors of reinforced concrete members.

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Study on Soil Parameters and Two Dimensional Analysis in Slope Stability (사면안정 2차원해석과 토질정수에 관한 연구)

  • 김경진;김규문;박일철
    • Journal of the Korean Professional Engineers Association
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    • v.18 no.3
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    • pp.21-27
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    • 1985
  • Earthen mass located beneth a sloping group surface, whether natural or manmade, have a tendency to move downward and outward under the influence of gravity. Unless this tendency is suitably counteracted by the Shearing resistances within the mass, a landslide occurs. Avoiding such instabilities is a major concern of the geotechnical engineer. The shearing behavior of a soil is determined empirically, i.e., by field tests or laboratory tests. This results are applied to the slope stability analysis. The factor of safety for slope stability analysis is much more sensitive to the choice of strength parameters as interpreted from soil tests than to the choice of the computational method of analysis. This paper was investigated the influence of the change in the factor of safety due to a change in one of the parameters, relative to the total change in the factor of safety due to change in all parameters. A conclusion may be reached with respect to the required precision definition of the different variables to limit uncertainties in the factor of safety to tolerable levels.

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