Author: Desmond N. D. Hartford
Publisher: Thomas Telford
ISBN: 9780727732705
Category : Social Science
Languages : en
Pages : 468
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Book Description
Intends to assist the dam owner in evaluating the needs for dam safety improvement, selecting and prioritizing remedial and corrective actions, and improving the operation, maintenance and surveillance procedures. This book is intended not only for industry specialists but also for readers outside the dam engineering community.
Author: Ignacio Escuder-Bueno
Publisher: CRC Press
ISBN: 0203134346
Category : Technology & Engineering
Languages : es
Pages : 414
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Book Description
This book offers the state of the art on risk analysis, representing a primary tool for achieving effective management of critical infrastructures along with a suitable framework for the development of risk management models regarding natural, technological and human-induced hazards. Essential reading for graduate students and researchers interested in risk analysis as applied to all type of critical infrastructures, and for designers, engineers, owners and operators of critical infrastructures in general and dams in particular.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309035325
Category : Science
Languages : en
Pages : 295
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Book Description
From earth tectonics and meteorology to risk, responsibility, and the role of government, this comprehensive and detailed book reviews current practices in designing dams to withstand extreme hydrologic and seismic events. Recommendations for action and for further research to improve dam safety evaluations are presented.
Author: Limin Zhang
Publisher: John Wiley & Sons
ISBN: 1118558510
Category : Technology & Engineering
Languages : en
Pages : 496
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Book Description
This book integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner • The first book that introduces the causes, processes and consequences of dam failures • Integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner • Emphasizes integrating theory and practice to better demonstrate the application of risk assessment and decision methodologies to real cases • Intends to formulate dam-breaching emergency management steps in a scientific structure
Author: Yacov Y. Haimes
Publisher:
ISBN:
Category : Risk assessment
Languages : en
Pages : 248
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Book Description
Author: Ben Chie Yen
Publisher: ASCE Publications
ISBN: 9780784475928
Category : Technology & Engineering
Languages : en
Pages : 306
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Book Description
Prepared by the Subcommittee on Uncertainty and Reliability Analyses in Design of Hydraulic Structures of the Technical Committee on Probabilistic Approaches to Hydraulics of ASCE. This report contains 13 papers presenting the application of reliability analysis to the design and safety of hydraulic structures. Several recent major failures of engineering systems have raised public concern on the safety and reliability of engineering struct.ures. Decades ago, a quantitative evaluation of the reliability of structures was not possible and engineers used safety factors that were determined mainly through experience and judgement. Recent advances in probability methods and computers make it feasible to evaluate the contributions of various technologic and natural factors to the safety and reliability of structures.ØThe first four papers in this report discuss techniques pertinent to reliability and uncertainty analyses. The next nine papers explore how these techniques can be applied to dam safety, coastal floods, and hydraulic structures. The report concludes with a reprint of an article by Vrijling on the Eastern Scheldt Storm Surge Barrier of the Delta Project in the Netherlands and the use of reliability analysis for sewer design.
Author: Robert B. Jansen
Publisher:
ISBN:
Category : Dam failures
Languages : en
Pages : 348
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Book Description
Author: Terje Aven
Publisher: John Wiley & Sons
ISBN: 0470871237
Category : Mathematics
Languages : en
Pages : 208
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Book Description
Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis ? expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making. Presents a statistical framework for dealing with risk and uncertainty. Includes detailed coverage of building and applying risk models and methods. Offers new perspectives on risk, risk assessment and the use of parametric probability models. Highlights a number of applications from business and industry. Adopts a conceptual approach based on elementary probability calculus and statistical theory. Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.
Author: Etienne de Rocquigny
Publisher: John Wiley & Sons
ISBN: 1119941652
Category : Mathematics
Languages : en
Pages : 483
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Book Description
Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered ? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ? Are there connex domains that could provide models or inspiration for my problem ? Written by a leader at the crossroads of industry, academia and engineering, and based on decades of multi-disciplinary field experience, Modelling Under Risk and Uncertainty gives a self-consistent introduction to the methods involved by any type of modeling development acknowledging the inevitable uncertainty and associated risks. It goes beyond the “black-box” view that some analysts, modelers, risk experts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential nor challenging the practical plausibility of mathematical hypotheses; conversely it is also to attract environmental or engineering modellers to better handle model confidence issues through finer statistical and risk analysis material taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or support robust decision-making. Modelling Under Risk and Uncertainty: Addresses a concern of growing interest for large industries, environmentalists or analysts: robust modeling for decision-making in complex systems. Gives new insights into the peculiar mathematical and computational challenges generated by recent industrial safety or environmental control analysis for rare events. Implements decision theory choices differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty through a consistent multi-disciplinary set of statistical estimation, physical modelling, robust computation and risk analysis. Provides an original review of the advanced inverse probabilistic approaches for model identification, calibration or data assimilation, key to digest fast-growing multi-physical data acquisition. Illustrated with one favourite pedagogical example crossing natural risk, engineering and economics, developed throughout the book to facilitate the reading and understanding. Supports Master/PhD-level course as well as advanced tutorials for professional training Analysts and researchers in numerical modeling, applied statistics, scientific computing, reliability, advanced engineering, natural risk or environmental science will benefit from this book.
Author: Aytaç Güven
Publisher: Springer Nature
ISBN: 303047139X
Category : Technology & Engineering
Languages : en
Pages : 85
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Book Description
This book offers a timely report on methods for risk assessment procedures for dams, with a special emphasis on dams with small storage dimensions. It starts by introducing all important definitions relating to dams, dam safety, such as the most common failure modes, and risks. In turn, it describes in detail the most important evaluation procedures for various failure modes such as piping, flood, earthquake and stability are described in this chapter. Consequence assessment procedures, together with the different steps of the risk evaluation process, are analyzed, providing a guide on how to identify the appropriate failure mode for the examined dam and setting up the appropriate safety plan. The book introduces the most common methods for predicting peak breach discharge, analyzing some relevant case studies. Upon comparing the findings obtained with the different methods, the book concludes with some general suggestions and ideas for future developments. This book fills an important gap between theoretical works and real-life problems being investigating in practical research studies on dam safety and risk management. It provides readers with the necessary knowledge on risk analysis and shows how to apply this in practice to carry out dam safety studies. It offers practical guidelines to set up risk assessment procedures for different failure modes and predicting failure parameters such as failure time, peak breach discharge and breach width.
