Probabilistic Risk Analysis
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Probabilistic Risk Analysis
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Author : Tim Bedford
language : en
Publisher: Cambridge University Press
Release Date : 2001-04-30
Probabilistic Risk Analysis written by Tim Bedford and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-30 with Mathematics categories.
A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
Risk Analysis In Engineering
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Author : Mohammad Modarres
language : en
Publisher: CRC Press
Release Date : 2016-04-27
Risk Analysis In Engineering written by Mohammad Modarres and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-27 with Mathematics categories.
Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p
Uncertainty In Risk Assessment
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Author : Terje Aven
language : en
Publisher: John Wiley & Sons
Release Date : 2013-12-17
Uncertainty In Risk Assessment written by Terje Aven and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-17 with Mathematics categories.
Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situations concerning high-consequence technologies (e.g., nuclear, oil and gas, transport, etc.), the theories and methods studied in Uncertainty in Risk Assessment have wide-ranging applications from engineering and medicine to environmental impacts and natural disasters, security, and financial risk management. The main focus, however, is on engineering applications. While requiring some fundamental background in risk assessment, as well as a basic knowledge of probability theory and statistics, Uncertainty in Risk Assessment can be read profitably by a broad audience of professionals in the field, including researchers and graduate students on courses within risk analysis, statistics, engineering, and the physical sciences. Uncertainty in Risk Assessment: Illustrates the need for seeing beyond probability to represent uncertainties in risk assessment contexts. Provides simple explanations (supported by straightforward numerical examples) of the meaning of different types of probabilities, including interval probabilities, and the fundamentals of possibility theory and evidence theory. Offers guidance on when to use probability and when to use an alternative representation of uncertainty. Presents and discusses methods for the representation and characterization of uncertainty in risk assessment. Uses examples to clearly illustrate ideas and concepts.
Probabilistic Risk Analysis And Bayesian Decision Theory
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Author : Marcel van Oijen
language : en
Publisher: Springer Nature
Release Date : 2022-11-23
Probabilistic Risk Analysis And Bayesian Decision Theory written by Marcel van Oijen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-23 with Mathematics categories.
The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions abounding in the literature. The approach is expanded to more complex risk analysis with three components rather than two, and with various definitions of hazard. Equations are derived to quantify the uncertainty of each risk component and show how the approach relates to Bayesian decision theory. Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.
Probabilistic Risk Assessment
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Author :
language : en
Publisher:
Release Date : 2000
Probabilistic Risk Assessment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Reliability (Engineering) categories.
Contains references to documents in the NASA Scientific and Technical (STI) Database.
Probabilistic Risk Assessment Of Engineering Systems
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Author : M. Stewart
language : en
Publisher: Springer
Release Date : 1997-11-30
Probabilistic Risk Assessment Of Engineering Systems written by M. Stewart and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-11-30 with Technology & Engineering categories.
Probabilistic risk and hazard assessments are applied to a wide range of engineering systems, mainly for regulatory reasons needed for development consent, system certification and occupational health and safety issues. The purpose of this book is to raise awareness of the limitations, uncertainties and other issues inherent in probabilistic risk analysis procedures. Probabilistic Risk Assessment of Engineering Systems describes: the importance of probabilistic risk assessment in decision making, i.e. risk management; types of risk and probabilistic risk analysis procedures; data needed for the conduct of probabilistic risk analysis; and acceptable/tolerable risk and other risk acceptance criteria. In essence, the book provides a multi-disciplinary and integrated explanation of risk assessment procedures that will enable the non-specialist reader to gain valuable insights into the development of risk analysis procedures. Practising engineers and graduate engineering students across a range of disciplines will find this book immensely useful.
Probabilistic Safety Assessment And Management 96
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Author : Carlo Cacciabue
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Probabilistic Safety Assessment And Management 96 written by Carlo Cacciabue and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
IE-2 > FV 5E-3 > FV IE-3 > FV IE-4 > FV Trun- Total IST and IST Components Total IST FV> IE-2 Type >5E-3 > IE-3 > IE-4 >0 cated IPE Components Not Modeled in PRA Components 11 3 6 5 27 73 100 AOV 2 CV 4 21 24 16 12 77 94 171 4 6 10 HOV 4 34 158 MOV 2 5 35 33 24 25 124 43 43 MV 2 PORV 1 1 2 PUMP 12 5 6 1 3 27 9 36 54 54 SOV SRV 20 3 23 23 Total 39 17 73 61 49 45 284 313 597 ------- --- Table 2. Levell IPEEE Basic Event Importance - Risk Achievement Worth Total IST and (PE IST Components Not Total IST 2>RAW>0 Truncated Type RAW>2 Components Modeled in PRA Components 100 AOV 13 9 5 27 73 CV 52 16 9 77 94 171 4 4 6 10 HOV MOV 60 54 10 124 34 158 43 43 MV PORV 2 2 2 PUMP 24 3 27 9 36 SOV 54 54 SRV 23 23 23 597 Total 155 102 27 284 313 ~~--- -. . j S 702 and 2 includes the following IST component types: pumps, air-operated valves (AOV), check valves (CV), hydraulically-operated valves (HOV), motor-operated valves (MOV), manual valves (MV), pressurizer power-operated relief valves (PORV), solenoid operated valves (SOV), and safety reliefvalves (SRV).
Uncertainty Characterization In Risk Analysis For Decision Making Practice
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Author : Enrico Zio
language : en
Publisher: FonCSI
Release Date : 2012-05-01
Uncertainty Characterization In Risk Analysis For Decision Making Practice written by Enrico Zio and has been published by FonCSI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-01 with Technology & Engineering categories.
This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise. The document provides : a description of the risk assessment process, as used in hazardous industries such as nuclear power and offshore oil and gas extraction ; a classification of sources of uncertainty (both epistemic and aleatory) and a description of techniques for uncertainty representation ; a description of the different steps involved in a Probabilistic Risk Assessement (PRA) or Quantitative Risk Assessment (QRA), and an analysis of the types of uncertainty that can affect each of these steps ; annexes giving an overview of a number of tools used during probabilistic risk assessment, including the HAZID technique, fault trees and event tree analysis.
Probabilistic Risk Assessment Pra
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Author : U.S. Nuclear Regulatory Commission. Division of Risk Analysis
language : en
Publisher:
Release Date : 1984
Probabilistic Risk Assessment Pra written by U.S. Nuclear Regulatory Commission. Division of Risk Analysis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Nuclear facilities categories.
Low Probability High Consequence Risk Analysis
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Author : Ray Waller
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-21
Low Probability High Consequence Risk Analysis written by Ray Waller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-21 with Science categories.
In recent years public attention has focused on an array of low-probability/high-consequence (LC/HC) events that pose a signif icant threat to human health, safety, and the environment. At the same time, public and private sector responsibilities for the assessment and management of such events have grown because of a perceived need to anticipate, prevent, or reduce the risks. In attempting to meet these responsibilities, legislative, judicial, regulatory, and private sector institutions have had to deal with the extraordinarily complex problem of assessing and balancing LP/ HC risks against the costs and ben if its of risk reduction. The need to help society cope with LP/HC events such as nuclear power plant accidents, toxic spills, chemical plant explosions, and transportation accidents has given rise to the development of a new intellectual endeavor: LP/HC risk analysis. The scope and complexity of these analyses require a high degree of cooperative effort on the part of specialists from many f~elds. Analyzing technical, social, and value issues requires the efforts of physicists, biologists, geneticists, statisticians, chemists, engineers, political scientists, sociologists, decision analysts, management scientists, economists, psychologists, ethicists, lawyers, and policy analysts. Included in this volume are papers by authors in each of these disciplines. The papers share in common a focus on one or more of the following questions that are generic to the analysis of LP/HC risks.