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These volumes contain the papers presented at the 4th International Conference on Probabilistic Safety Assessment and Management (PSAM 4), held in New York City in September 98. The conference provided a forum for the presentation of innovative methods and applications of risk-based approaches to improve the design and operation of technological systems and processes from the economic and safety points of view. Papers reflect progress made on methods and applications in such areas as modeling and analysis of complex systems, human and organizational performance assessment, software reliability, data collection and analysis, expert judgement modeling and use, identification and assessment of various types of uncertainty, risk-informed regulatory and operational decision making, and public perception of risk. A diverse range of disciplines are represented including aerospace, nuclear, fossil fuels, chemical systems, marine technology, transportation, information technology, medical systems, environment, and defense.
A collection of papers presented at the PSAM 7 – ESREL ’04 conference in June 2004, reflecting a wide variety of disciplines, such as principles and theory of reliability and risk analysis, systems modelling and simulation, consequence assessment, human and organisational factors, structural reliability methods, software reliability and safety, insights and lessons from risk studies and management/decision making. This volume covers both well-established practices and open issues in these fields, identifying areas where maturity has been reached and those where more development is needed.
Current issues and approaches in the reliability and safety analysis of dynamic process systems are the subject of this book. The authors of the chapters are experts from nuclear, chemical, mechanical, aerospace and defense system industries, and from institutions including universities, national laboratories, private consulting companies, and regulatory bodies. Both the conventional approaches and dynamic methodologies which explicitly account for the time element in system evolution in failure modeling are represented. The papers on conventional approaches concentrate on the modeling of dynamic effects and the need for improved methods. The dynamic methodologies covered include the DYLAM methodology, the theory of continuous event trees, several Markov model construction procedures, Monte Carlo simulation, and utilization of logic flowgraphs in conjunction with Petri nets. Special emphasis is placed on human factors such as procedures and training.
This book outlines how to conduct a complete environmental risk assessment. The first part documents the psychology and philosophy of risk perception and assessment, introducing a taxonomy of uncertainty and the importance of context. It provides a critical examination of the use and abuse of expert judgement and goes on to outline approaches to hazard identification and subjective ranking that account for uncertainty and context. The second part of the book describes technical tools that can assist risk assessments to be transparent and internally consistent. These include interval arithmetic, ecotoxicological methods, logic trees and Monte Carlo simulation. These methods have an established place in risk assessments in many disciplines and their strengths and weaknesses are explored. The last part of the book outlines some new approaches, including p-bounds and information-gap theory, and describes how quantitative and subjective assessments can be used to make transparent decisions.
Preventable dust explosions continue to occur in industry in spite of significant research and practice efforts worldwide over many years. There is a need for effective understanding of the unique hazards posed by combustible dust. This book describes a number of dust explosion myths – which together cover the main source of dust explosion hazards – the reasons they exist and the corresponding scientific and engineering facts that mitigate these circumstances. An Introduction to Dust Explosions describes the main erroneous beliefs about the origin and propagation of dust explosions. It offers fact-based explanations for their occurrence and the impact of such events and provides a critical guide to managing and mitigating dust explosion risks. - Designed to prevent accidents, injury, loss of life and capital damage - An easy-to-read, scientifically rigorous treatment of the facts and fictions of dust explosions for those who need to – or ought to – understand dust explosions, their occurrence and consequences - Enables the management and mitigation of these critical industrial hazards
This book constitutes the refereed proceedings of the 10th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2017, held in Washington, DC, USA, in July 2017. The 16 full papers and 27 short papers presented were carefully reviewed and selected from 79 submissions. Owing to its strong multi-disciplinary heritage, the papers represent a large range of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science and use numerous types of computational methods such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. They are organized in the following topical sections: behavioral and social sciences; cyber and intelligence applications; information, systems, and network sciences; and methodology.
The world of the twenty first century is an energy consuming society. Due to increasing population and living standards, each year the world requires more energy and new efficient systems for delivering it. Furthermore, the new systems must be inherently safe and environmentally benign. These realities of today's world are among the reasons that lead to serious interest in deploying nuclear power as a sustainable energy source. Today's nuclear reactors are safe and highly efficient energy systems that offer electricity and a multitude of co-generation energy products ranging from potable water to heat for industrial applications. The goal of the book is to show the current state-of-the-art in the covered technical areas as well as to demonstrate how general engineering principles and methods can be applied to nuclear power systems.
This book includes extended and revised versions of a set of selected papers from the 17th International Conference on Software Technologies, ICSOFT 2022, held in Lisbon, Portugal, during July 11–13, 2022. The 10 full papers included in this book were carefully reviewed and selected from 102 submissions. They were organized in topical sections as follows: tool assisted empirical approach to reusability models assessment; functional programming; three forms of mutant subsumption: basic, strict and broad; and on the efficiency of building large collections of software: modeling, algorithms, and experimental results.
Safety and Reliability of Complex Engineered Systems contains the Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015, held 7-10 September 2015 in Zurich, Switzerland. It includes about 570 papers accepted for presentation at the conference. These contributions focus on theories and methods in the area of risk, safety and
Reliability and safety are core issues that must be addressed throughout the life cycle of engineering systems. Reliability and Safety Engineering presents an overview of the basic concepts, together with simple and practical illustrations. The authors present reliability terminology in various engineering fields, viz., electronics engineering, software engineering, mechanical engineering, structural engineering and power systems engineering. The book describes the latest applications in the area of probabilistic safety assessment, such as technical specification optimization, risk monitoring and risk informed in-service inspection. Reliability and safety studies must, inevitably, deal with uncertainty, so the book includes uncertainty propagation methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer theory and probability bounds. Reliability and Safety Engineering also highlights advances in system reliability and safety assessment including dynamic system modeling and uncertainty management. Case studies from typical nuclear power plants as well as from structural, software and electronic systems are also discussed. Reliability and Safety Engineering combines discussions of the existing literature on basic concepts and applications with state-of-the-art methods used in reliability and risk assessment of engineering systems. It is designed to assist practicing engineers, students and researchers in the areas of reliability engineering and risk analysis.