• Title/Summary/Keyword: Laboratory safety behavior

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Effect of University Lab Manager Safety Leadership on Student Safety Behavior : The Controlled Mediating Effect of Individual Safety Motivation (대학 연구실책임자 안전리더십이 학생의 안전행동에 미치는 영향 : 개인 안전동기의 조절된 매개효과를 중심으로)

  • Jo, Han Jin;Lee, Hwang Won;Lee, Hyun Ju;Roh, Young Hee
    • Journal of the Korean Society of Safety
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    • v.37 no.2
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    • pp.54-68
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    • 2022
  • The purpose of this study is to provide implications for improving the safety behavior of university lab students by grasping the relationship between leaders' safety leadership, the lab's safety climate, and individual safety motivation variables. To this end, a survey was conducted on nationwide university laboratories, and the main results are as follows. First, transformational and transactional safety leadership had a positive effect on safety behavior, while the laissez-faire one had a negative impact.Second, it was found that the laboratory safety climate plays a mediating role in the relationship in which safety leadership affects safety behavior. Third, it was found that individual safety motivation was governed by the laboratory safety climate's effect on safety behavior. Fourth, individual safety motivation was found to control the mediating effect of the laboratory safety climate in the relationship between safety leadership and safety behavior. The conclusion of this study is the following: to strengthen the safety behavior of university laboratory students, the laboratory manager must operate the laboratory with a transformational and transactional safety leadership. Additionally, educational institutions must effectively operate their own safety-day programs to create a safe climate for each laboratory and improve students' safety motives.

College Students' Safety Behaviors in the Dental Technology Laboratory Predicted by the Theory of Planned Behavior (치기공전공 대학생의 실습실 안전 행동에 대한 계획된 행위 이론 검증)

  • Park, Jong-Hee
    • The Journal of Korean Society for School & Community Health Education
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    • v.10 no.2
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    • pp.15-27
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    • 2009
  • Background and Goals: This study set out to apply the Theory of Planned Behavior (TPB), which is known to provide good explanations about human behavior, and test it to see if it could predict safety behavior by affecting the intention for safety behavior and perceived behavioral control and if intention for safety behavior would be influenced by attitude toward behavior, subjective norm, and perceived behavioral control. Methods: The subjects were 98 dental technology majors in D City. The questionnaires were distributed, filled out and collected on the spot. Each item was measured on a seven-point scale, and it's interpreted that the higher mean of each item would translate into safety behavior. Results: The analysis results of the Theory of Reasoned Action (TRA) variables indicate that only subjective norm ($\beta$ = .528, p < .000) had explanatory power of 27.2% (F = 37.170, P <.001) for intention for safety behavior. The results show that subjective norm and attitude toward behavior affect intention for safety behavior. The analysis results of the TPB variables revealed that intention for safety behavior had explanatory power of 26.6% (F = 36.072, p <.000) for behavior. When intention was added by perceived behavioral control, the explanatory power increased to 34.5% (F = 26.530, p <.000). And when it's added by knowledge, the explanatory power increased to 39.0% (F =21.661, p <.000). The results suggest that intention has the biggest influence on predicting safety behavior. Conclusion: The results show that the TPB model by Ajzen (1985) has greater forecasting power for intention and act of safety behavior than the TRA model by Fishbein & Ajzen (1980) and the TPB model can applied in the prediction of safety behavior. Thus safety behavior is considered as behavior whose determination control is limited. And safety education programs that add knowledge to the TPB variables will help the students promote their safety behavior.

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Corrosion fatigue crack growth behavior of 316LN stainless steel in high-temperature pressurized water

  • Zhang, Ziyu;Tan, Jibo;Wu, Xinqiang;Han, En-Hou;Ke, Wei
    • Nuclear Engineering and Technology
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    • v.53 no.9
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    • pp.2977-2981
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    • 2021
  • Corrosion fatigue crack growth (FCG) behavior of 316LN stainless steel was investigated in high-temperature pressurized water at different temperatures, load ratios (R = Kmax/Kmin) and rise times (tR). The environmental assisted effect on FCG rate was observed when both the R and tR exceeded their critical values. The FCG rate showed a linear relation with stress intensity factor range (ΔK) in double logarithmic coordinate. The environmental assisted effect on FCG rate depended on the ΔK and quantitative relations were proposed. Possible mechanisms of environmental assisted FCG rate under different testing conditions are also discussed.

Research on Enhancing the Safety Behaviors of Research Workers Using Structural Equation Modeling (구조방정식을 활용한 연구활동종사자의 안전행동 향상 방안 연구)

  • Gyeongyun Kim;Han Jin Jo;Jeong-Hun Won
    • Journal of the Korean Society of Safety
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    • v.38 no.6
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    • pp.79-87
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    • 2023
  • This study focuses on safety behavior among research workers and investigates the factors influencing their safety behavior. The selected variables for examining their impact on researchers' safety behavior are safety leadership, safety climate, and safety motivation. Surveys were conducted to analyze the structural equation modeling among these variables. The results indicate that the safety leadership of research supervisors positively influences the creation of a safety climate in research laboratories. Additionally, the safety climate positively impacts research workers' safety motivation and behavior. Therefore, to enhance the safety behavior of research workers, it is necessary to strengthen safety leadership education to improve the safety leadership of laboratory supervisors. The laboratory can enhance its safety climate by implementing management policies and safety regulations, fostering communication among members, and providing safety education.

Differences in Safety Leadership, Safety Climate, Safety Motivation, and Safety Behavior Based on Participation in the Certification System for Exemplary Laboratories in Safety Management (안전관리 우수연구실 인증제 참여 여부에 따른 안전리더십, 안전분위기, 안전동기, 안전행동 차이 분석)

  • Gyeongyun Kim;Jeong-Hun Won
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.58-64
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    • 2023
  • This study aims to analyze the differences between the safety leadership of the laboratory director, safety climate, safety motivation, and safety behavior of research workers based on whether they have participated in the certification system for exemplary laboratories in safety management (CSEL). An online survey was conducted among research workers to analyze the effect of the CSEL. The independent variables used in the survey were participation and non-participation in the CSEL, while the dependent variables were the safety leadership of the laboratory director, safety climate, safety motivation, and safety behavior of research workers. The results demonstrate that the group that participated in the CSEL had statistically significantly higher levels of safety leadership, safety climate, safety motivation, and safety behavior than the one that did not do so. Therefore, it can be concluded that the CSEL has a positive impact on the establishment of an autonomous safety management system in a laboratory by improving the safety culture and safety behavior of research workers. Further, the extrinsic factors, which are subfactors for safety motivation, did not reflect a significant difference between the group that participated in the CSEL and the one that did not. Thus, a reward system for research workers with excellent safety activities should be operated by research institutes since it is necessary to strengthen the intrinsic safety motivation of individual research workers which can be strengthened by compensation. The government should consider measures such as providing research incentives to researchers participated in CSEL.

A study on improvement of the safety level in university laboratory using the safety management assessment (안전관리 평가를 통한 연구실 안전수준 개선방안에 관한 연구 -호남지역 대학 중심으로-)

  • Park, Hai-Chun;Cho, Sang-Hoon;Sim, Chul-Woo
    • Journal of the Korea Safety Management & Science
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    • v.14 no.3
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    • pp.11-19
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    • 2012
  • Especially because of the distinctiveness that new experiments and research provoke coexistence of various risk factors, the researchers in university laboratory are being exposed to incidents that are difficult to predict. Due to the fact that the numbers of accidents that occur at the university laboratory are increasing, the necessity for laboratory safety management is on the rise. Most laboratory accidents are caused by the ability that can detect risk factors such as unsafe behavior or unsafe condition but is not working perfectly. In order to prevent researchers in advance from unsafe behavior or unsafe condition, effective safety education, systematic safety management, safe research environment, continuous safety check and proper measures after accident are the most important factors. In this study, survey was conducted in university laboratory to identify the factors that affect on safety management and to measure the safety management level. As a result, effective measures are proposed for the improvement of the safety management level.

A Study about Clinical Training Environment and Safety of Dental Technology Students (치기공과 학생의 임상실습 환경과 안전에 관한 연구)

  • Jung, Hyo-kyung
    • Journal of Technologic Dentistry
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    • v.38 no.4
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    • pp.343-352
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    • 2016
  • Purpose: The intention of the study is to reveal the factors that influence the safety-behavior and safety-accident of the students of dental laboratory science. We intend to use the study as a basic data of searching effective ways to heighten the safety-behavior of clinical training and to prevent safety-accident. Methods: The survey was conducted on dental technology students. The collected data was analyzed by the statistical program SPSS 21.0. The results were analyzed by reliability, frequency, t-test, correlation, multiple regression. To test for significance on each item, p<0.05 has been decided as a standard. Results: The results of the study showed that the safety of the students was influenced by the school year, the leader of clinical training, clinical training environment and the experience of safety education. The safety-accident turned out to be influenced by the school year of the student and the safety behavior. Conclusion: Active leader of clinical training, clinical training environment that enables the safety-behavior, and the offering of the systematic safety education were the most important factors to heighten the safety behavior of the students and prevent the safety-accident. These factors were expected to not only induce the safety-behavior but also prevent the safety-accident as well.

Nonlocal Formulation for Numerical Analysis of Post-Blast Behavior of RC Columns

  • Li, Zhong-Xian;Zhong, Bo;Shi, Yanchao;Yan, Jia-Bao
    • International Journal of Concrete Structures and Materials
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    • v.11 no.2
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    • pp.403-413
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    • 2017
  • Residual axial capacity from numerical analysis was widely used as a critical indicator for damage assessment of reinforced concrete (RC) columns subjected to blast loads. However, the convergence of the numerical result was generally based on the displacement response, which might not necessarily generate the correct post-blast results in case that the strain softening behavior of concrete was considered. In this paper, two widely used concrete models are adopted for post-blast analysis of a RC column under blast loading, while the calculated results show a pathological mesh size dependence even though the displacement response is converged. As a consequence, a nonlocal integral formulation is implemented in a concrete damage model to ensure mesh size independent objectivity of the local and global responses. Two numerical examples, one to a RC column with strain softening response and the other one to a RC column with post-blast response, are conducted by the nonlocal damage model, and the results indicate that both the two cases obtain objective response in the post-peak stage.

Convergence study of traditional 2D/1D coupling method for k-eigenvalue neutron transport problems with Fourier analysis

  • Boran Kong ;Kaijie Zhu ;Han Zhang ;Chen Hao ;Jiong Guo ;Fu Li
    • Nuclear Engineering and Technology
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    • v.55 no.4
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    • pp.1350-1364
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    • 2023
  • 2D/1D coupling method is an important neutron transport calculation method due to its high accuracy and relatively low computation cost. However, 2D/1D coupling method may diverge especially in small axial mesh size. To analyze the convergence behavior of 2D/1D coupling method, a Fourier analysis for k-eigenvalue neutron transport problems is implemented. The analysis results present the divergence problem of 2D/1D coupling method in small axial mesh size. Several common attempts are made to solve the divergence problem, which are to increase the number of inner iterations of the 2D or 1D calculation, and two times 1D calculations per outer iteration. However, these attempts only could improve the convergence rate but cannot deal with the divergence problem of 2D/1D coupling method thoroughly. Moreover, the choice of axial solvers, such as DGFEM SN and traditional SN, and its effect on the convergence behavior are also discussed. The results show that the choice of axial solver is a key point for the convergence of 2D/1D method. The DGFEM SN based 2D/1D method could converge within a wide range of optical thickness region, which is superior to that of traditional SN method.

Fractal behavior identification for monitoring data of dam safety

  • Su, Huaizhi;Wen, Zhiping;Wang, Feng
    • Structural Engineering and Mechanics
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    • v.57 no.3
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    • pp.529-541
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    • 2016
  • Under the interaction between dam body, dam foundation and external environment, the dam structural behavior presents the time-varying nonlinear characteristics. According to the prototypical observations, the correct identification on above nonlinear characteristics is very important for dam safety control. It is difficult to implement the description, analysis and diagnosis for dam structural behavior by use of any linear method. Based on the rescaled range analysis approach, the algorithm is proposed to identify and extract the fractal feature on observed dam structural behavior. The displacement behavior of one actual dam is taken as an example. The fractal long-range correlation for observed displacement behavior is analyzed and revealed. The feasibility and validity of the proposed method is verified. It is indicated that the mechanism evidence can be provided for the prediction and diagnosis of dam structural behavior by using the fractal identification method. The proposed approach has a high potential for other similar applications.