Prevention of Human Factors and Reliability Analysis in Operating of Sipping Device on IPR-R1 TRIGA Reactor, a Study Case

2017 ◽  
pp. 155-170 ◽  
Author(s):  
Maritza Rodriguez Gual ◽  
Rogerio Rival Rodrigues ◽  
Vagner de Oliveira ◽  
Claudio Lopes Cunha
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Triga Reactor ◽  
Study Case

Calibrating Design Guidelines using Mental Workload and Reliability Analysis

2020 ◽  
Vol 2674 (8) ◽  
pp. 360-369
Author(s):  
Karim Habib ◽  
Maged Gouda ◽  
Karim El-Basyouny
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Mental Workload ◽  
Design Guidelines ◽  
Horizontal Curves ◽  
Road Design ◽  
Sight Distance ◽  
Stopping Sight Distance ◽  
The Many ◽  
Time Required

The generic nature of road design is indiscriminate to age, race, or gender, as it is implicitly assumed that there are few behavioral differences between drivers while traversing various alignment elements (e.g., horizontal curves, tangential segments, etc.). For instance, the perception reaction time required, which is based on an 85th percentile value, on a tangent section is the same as that on a horizontal curve. This suggests that current guidelines do not consider the complexity that some geometric features might induce on drivers, and consequently, there is a need to address the many considerations of diversity. In this respect, human factors should be explicitly included in design guidelines. One aspect of human factors that has received little attention in the literature is related to the mental workload. In this study, a procedure is presented to estimate the mental workload for stopping sight distance. Then, reliability analysis is conducted to compare the change in the probability of non-compliance owing to the available sight distance and based on the mental workload. By analyzing data from 12 horizontal curves in Alberta, Canada, the probability of non-compliance dropped from 9.1% to 0.7%, and a moderate correlation with collisions was found. The results of the analysis showed that incorporating mental workload into the geometric design process can improve safety performance.

Enhancing Human Reliability Analysis through Visualization: First Steps

1995 ◽  
Vol 39 (15) ◽  
pp. 1011-1014
Author(s):  
Robert E. Richards ◽  
Steven Novak ◽  
Lon N. Haney ◽  
Henry A. Romero ◽  
Harold S. Blackman
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Theoretical Development ◽  
Human Reliability ◽  
Major Focus ◽  
Human Reliability Analysis ◽  
Improved Methods

Over the last 15 years practitioners and researchers in the area of human factors and human reliability analysis (HRA) at the Idaho National Engineering Laboratory (INEL) have been developing improved methods and tools for performing HRAs. During this last year a major focus has been placed on applying visualization to enhance HRA processes and the communication of HRA results. The team has explored various metaphors, concepts, and has built some initial visualization prototypes. This paper is a summary of the project's progress to date with emphasis on the conceptual and theoretical development to date. Secondarily, the paper describes, briefly, some of the prototyping efforts.

scholarly journals Human Reliability Analysis for Verification and Validation of New Designs

2019 ◽  
Vol 63 (1) ◽  
pp. 2170-2174
Author(s):  
Ronald Laurids Boring
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Empirical Studies ◽  
Nuclear Industry ◽  
Internal Quality ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Performance Shaping Factors ◽  
System Interfaces

As the commercial nuclear industry prepares to extend the life of existing power reactors and build new reactors, it becomes necessary to verify and validate the human-system interfaces found in the main control rooms and elsewhere at the plants. Verification has consisted of comparison of the system to human factors standards. Validation has consisted of operator-in-the-loop studies to identify potential shortcomings in the system design and establish the safety of operations of the system. The empirical studies in support of validation have typically been led by human factors experts, who treat the validation exercise as a type of detailed usability study to meet regulatory and internal quality standards. Human reliability analysis (HRA) has not held a prominent role in validation. In this paper, we explore the role of HRA to augment human factors studies. It is suggested that HRA can serve as an important driver in the design of validation studies by identifying those critical performance shaping factors known to lead to decreased operator reliability. Additionally, HRA can support verification by serving as a standard checklist against which to base expected operator performance.

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