Author: J. B. RivardPublisher:
ISBN:
Category : Light water reactors
Languages : en
Pages : 320
Book Description
Identification of Severe Accident Uncertainties
Author: J. B. RivardPublisher:
ISBN:
Category : Light water reactors
Languages : en
Pages : 320
Book Description
Training Course on Evaluation of Uncertainties in Best Estimate Accident Analysis for Advanced PWR
Author: Training Course on Evaluation of Uncertainties in Best Estimate Accident Analysis for Advanced PWRPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Severe Accident Risks: Appendices A, B, and C, final report
Author: Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 324
Book Description
Nuclear Safety in Light Water Reactors
Author: Bal Raj SehgalPublisher: Academic Press
ISBN: 0123884462
Category : Technology & Engineering
Languages : en
Pages : 732
Book Description
La 4e de couverture indique : Organizes and presents all the latest thought on LWR nuclear safety in one consolidated volume, provided by the top experts in the field, ensuring high-quality, credible and easily accessible information.
Lees' Loss Prevention in the Process Industries
Author: Frank LeesPublisher: Butterworth-Heinemann
ISBN: 0123977827
Category : Technology & Engineering
Languages : en
Pages : 3685
Book Description
Safety in the process industries is critical for those who work with chemicals and hazardous substances or processes. The field of loss prevention is, and continues to be, of supreme importance to countless companies, municipalities and governments around the world, and Lees’ is a detailed reference to defending against hazards. Recognized as the standard work for chemical and process engineering safety professionals, it provides the most complete collection of information on the theory, practice, design elements, equipment, regulations and laws covering the field of process safety. An entire library of alternative books (and cross-referencing systems) would be needed to replace or improve upon it, but everything of importance to safety professionals, engineers and managers can be found in this all-encompassing three volume reference instead. The process safety encyclopedia, trusted worldwide for over 30 years Now available in print and online, to aid searchability and portability Over 3,600 print pages cover the full scope of process safety and loss prevention, compiling theory, practice, standards, legislation, case studies and lessons learned in one resource as opposed to multiple sources
夏目忠雄さんを偲ぶ
Author: Uncertainty and Quality in Science for Policy
Author: S.O. FuntowiczPublisher: Springer Science & Business Media
ISBN: 9400906218
Category : Social Science
Languages : en
Pages : 254
Book Description
This book explains the notational system NUSAP (Numeral, Unit, Spread, Assessment, Pedigree) and applies it to several examples from the environmental sciences. The authors are now making further extensions of NUSAP, including an algorithm for the propagation of quality-grades through models used in risk and safety studies. They are also developing the concept of `Post-normal Science', in which quality assurance of information requires the participation of `extended peer-communities' lying outside the traditional expertise.
Advanced Reactor Safety Research Quarterly Report
Author: Sandia National Laboratories. Advanced Reactor Research DepartmentPublisher:
ISBN:
Category : Pressurized water reactors
Languages : en
Pages : 256
Book Description
Modeling Rare Events Under Uncertainties
Author: Malak Ali El-GherianiPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The development of the oil and gas industry is accompanied by high risks that increase the potential for major accidents. Improving safety through implementing safety measures maintains the risk within an acceptable level and helps to prevent the occurrence of accidents. Identifying and treating uncertainty is the main challenge in performing risk analysis. This uncertainty reflects the lack of information about the accident scenario and its potential causes, as well as the absence of a modeling technique used to model accident scenarios. In most situations, there are either few or no data available to perform risk analysis. Gathering the required data from other relevant sources is one of the solutions to overcome this challenge. In the presented work, the first part of the developed methodology considers Hierarchical Bayesian Analysis (HBA) as a robust technique for an event's frequency estimation using data collected from several sources. Results demonstrate the power of HBA in treating the uncertainty within the gathered data and providing the appropriate estimation of an event's frequency. The estimated event's frequency is then integrated into Bowtie (BT) analysis, one of the modeling techniques, in order to predict the occurrence of a major accident. Due to their limitations, the standard modeling techniques are unable to capture the variation of risks as changes take place in the system. Therefore, their results involve a degree of uncertainty, considered as model uncertainty. In the second part of the presented study, the developed methodology has been improved by integrating HBA and Bayesian Network (BN) into one framework to cope with data and model uncertainties simultaneously. HBA handles the uncertainty within the multi-source data, while BN is used to model the accident scenario in order to treat model uncertainty. Using HBA along with BN provides more accurate estimations and better handling of uncertainties.
Author: