Uncertainty Quantification in Multiscale Materials Modeling

Uncertainty Quantification in Multiscale Materials Modeling
Author: Yan Wang,David L. McDowell
Publsiher: Woodhead Publishing
Total Pages: 604
Release: 2020-03-10
ISBN 10: 008102942X
ISBN 13: 9780081029428
Language: EN, FR, DE, ES & NL

Uncertainty Quantification in Multiscale Materials Modeling Book Review:

Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales. Synthesizes available UQ methods for materials modeling Provides practical tools and examples for problem solving in modeling material behavior across various length scales Demonstrates UQ in density functional theory, molecular dynamics, kinetic Monte Carlo, phase field, finite element method, multiscale modeling, and to support decision making in materials design Covers quantum, atomistic, mesoscale, and engineering structure-level modeling and simulation

Energy and Water Development Appropriations for 2001 Department of Energy

Energy and Water Development Appropriations for 2001  Department of Energy
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Publsiher: Unknown
Total Pages: 329
Release: 2000
ISBN 10:
ISBN 13: SRLF:AA0010258549
Language: EN, FR, DE, ES & NL

Energy and Water Development Appropriations for 2001 Department of Energy Book Review:

Energy and Water Development Appropriations for 2001

Energy and Water Development Appropriations for 2001
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Publsiher: Unknown
Total Pages: 329
Release: 2000
ISBN 10:
ISBN 13: UCR:31210014730996
Language: EN, FR, DE, ES & NL

Energy and Water Development Appropriations for 2001 Book Review:

Model Validation and Uncertainty Quantification Volume 3

Model Validation and Uncertainty Quantification  Volume 3
Author: H. Sezer Atamturktur,Babak Moaveni,Costas Papadimitriou,Tyler Schoenherr
Publsiher: Springer Science & Business Media
Total Pages: 427
Release: 2014-04-11
ISBN 10: 3319045520
ISBN 13: 9783319045528
Language: EN, FR, DE, ES & NL

Model Validation and Uncertainty Quantification Volume 3 Book Review:

This third volume of eight from the IMAC - XXXII Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Linear Systems Substructure Modelling Adaptive Structures Experimental Techniques Analytical Methods Damage Detection Damping of Materials & Members Modal Parameter Identification Modal Testing Methods System Identification Active Control Modal Parameter Estimation Processing Modal Data

Improved Best Estimate Plus Uncertainty Methodology Including Advanced Validation Concepts to License Evolving Nuclear Reactors

Improved Best Estimate Plus Uncertainty Methodology Including Advanced Validation Concepts to License Evolving Nuclear Reactors
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2010
ISBN 10:
ISBN 13: OCLC:873865836
Language: EN, FR, DE, ES & NL

Improved Best Estimate Plus Uncertainty Methodology Including Advanced Validation Concepts to License Evolving Nuclear Reactors Book Review:

Many evolving nuclear energy programs plan to use advanced predictive multi-scale multi-physics simulation and modeling capabilities to reduce cost and time from design through licensing. Historically, the role of experiments was primary tool for design and understanding of nuclear system behavior while modeling and simulation played the subordinate role of supporting experiments. In the new era of multi-scale multi-physics computational based technology development, the experiments will still be needed but they will be performed at different scales to calibrate and validate models leading predictive simulations. Cost saving goals of programs will require us to minimize the required number of validation experiments. Utilization of more multi-scale multi-physics models introduces complexities in the validation of predictive tools. Traditional methodologies will have to be modified to address these arising issues. This paper lays out the basic aspects of a methodology that can be potentially used to address these new challenges in design and licensing of evolving nuclear technology programs. The main components of the proposed methodology are verification, validation, calibration, and uncertainty quantification. An enhanced calibration concept is introduced and is accomplished through data assimilation. The goal is to enable best-estimate prediction of system behaviors in both normal and safety related environments. To achieve this goal requires the additional steps of estimating the domain of validation and quantification of uncertainties that allow for extension of results to areas of the validation domain that are not directly tested with experiments, which might include extension of the modeling and simulation (M & S) capabilities for application to full-scale systems. The new methodology suggests a formalism to quantify an adequate level of validation (predictive maturity) with respect to required selective data so that required testing can be minimized for cost saving purposes by showing further testing wold not enhance the quality of the validation of predictive tools. The proposed methodology is at a conceptual level. When matured and if considered favorably by the stakeholders, it could serve as a new framework for the next generation of the best estimate plus uncertainty licensing methodology that USNRC developed previously. In order to come to that level of maturity it is necessary to communicate the methodology to scientific, design and regulatory stakeholders for discussion and debates. This paper is the first step to establish this communication.

Assessing the Reliability of Complex Models

Assessing the Reliability of Complex Models
Author: National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification
Publsiher: National Academies Press
Total Pages: 144
Release: 2012-07-26
ISBN 10: 0309256348
ISBN 13: 9780309256346
Language: EN, FR, DE, ES & NL

Assessing the Reliability of Complex Models Book Review:

Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.

Assessing the Reliability of Complex Models

Assessing the Reliability of Complex Models
Author: National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification
Publsiher: National Academies Press
Total Pages: 144
Release: 2012-07-26
ISBN 10: 0309256348
ISBN 13: 9780309256346
Language: EN, FR, DE, ES & NL

Assessing the Reliability of Complex Models Book Review:

Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.

Nuclear Power Plant Design and Analysis Codes

Nuclear Power Plant Design and Analysis Codes
Author: Jun Wang,Xin Li,Chris Allison,Judy Hohorst
Publsiher: Woodhead Publishing
Total Pages: 608
Release: 2020-11-10
ISBN 10: 0128181915
ISBN 13: 9780128181911
Language: EN, FR, DE, ES & NL

Nuclear Power Plant Design and Analysis Codes Book Review:

Nuclear Power Plant Design and Analysis Codes: Development, Validation, and Application presents the latest research on the most widely used nuclear codes and the wealth of successful accomplishments which have been achieved over the past decades by experts in the field. Editors Wang, Li,Allison, and Hohorst and their team of authors provide readers with a comprehensive understanding of nuclear code development and how to apply it to their work and research to make their energy production more flexible, economical, reliable and safe. Written in an accessible and practical way, each chapter considers strengths and limitations, data availability needs, verification and validation methodologies and quality assurance guidelines to develop thorough and robust models and simulation tools both inside and outside a nuclear setting. This book benefits those working in nuclear reactor physics and thermal-hydraulics, as well as those involved in nuclear reactor licensing. It also provides early career researchers with a solid understanding of fundamental knowledge of mainstream nuclear modelling codes, as well as the more experienced engineers seeking advanced information on the best solutions to suit their needs. Captures important research conducted over last few decades by experts and allows new researchers and professionals to learn from the work of their predecessors Presents the most recent updates and developments, including the capabilities, limitations, and future development needs of all codes Incudes applications for each code to ensure readers have complete knowledge to apply to their own setting.

Active Subspaces

Active Subspaces
Author: Paul G. Constantine
Publsiher: SIAM
Total Pages: 100
Release: 2015-03-17
ISBN 10: 1611973864
ISBN 13: 9781611973860
Language: EN, FR, DE, ES & NL

Active Subspaces Book Review:

Scientists and engineers use computer simulations to study relationships between a model's input parameters and its outputs. However, thorough parameter studies are challenging, if not impossible, when the simulation is expensive and the model has several inputs. To enable studies in these instances, the engineer may attempt to reduce the dimension of the model's input parameter space. Active subspaces are an emerging set of dimension reduction tools that identify important directions in the parameter space. This book describes techniques for discovering a model's active subspace and proposes methods for exploiting the reduced dimension to enable otherwise infeasible parameter studies. Readers will find new ideas for dimension reduction, easy-to-implement algorithms, and several examples of active subspaces in action.

Verification and Validation in Scientific Computing

Verification and Validation in Scientific Computing
Author: William L. Oberkampf,Christopher J. Roy
Publsiher: Cambridge University Press
Total Pages: 329
Release: 2010-10-14
ISBN 10: 1139491768
ISBN 13: 9781139491761
Language: EN, FR, DE, ES & NL

Verification and Validation in Scientific Computing Book Review:

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

Crystal Plasticity Finite Element Methods

Crystal Plasticity Finite Element Methods
Author: Franz Roters,Philip Eisenlohr,Thomas R. Bieler,Dierk Raabe
Publsiher: John Wiley & Sons
Total Pages: 208
Release: 2011-08-04
ISBN 10: 3527642099
ISBN 13: 9783527642090
Language: EN, FR, DE, ES & NL

Crystal Plasticity Finite Element Methods Book Review:

Written by the leading experts in computational materials science, this handy reference concisely reviews the most important aspects of plasticity modeling: constitutive laws, phase transformations, texture methods, continuum approaches and damage mechanisms. As a result, it provides the knowledge needed to avoid failures in critical systems udner mechanical load. With its various application examples to micro- and macrostructure mechanics, this is an invaluable resource for mechanical engineers as well as for researchers wanting to improve on this method and extend its outreach.

Handbook of Uncertainty Quantification

Handbook of Uncertainty Quantification
Author: Roger Ghanem,David Higdon,Howman Owhadi
Publsiher: Springer
Total Pages: 1000
Release: 2016-05-08
ISBN 10: 9783319123844
ISBN 13: 331912384X
Language: EN, FR, DE, ES & NL

Handbook of Uncertainty Quantification Book Review:

The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.

Computational Science ICCS 2020

Computational Science     ICCS 2020
Author: Valeria V. Krzhizhanovskaya
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 3030504336
ISBN 13: 9783030504335
Language: EN, FR, DE, ES & NL

Computational Science ICCS 2020 Book Review:

Engineering Optimization

Engineering Optimization
Author: R. Russell Rhinehart
Publsiher: John Wiley & Sons
Total Pages: 776
Release: 2018-05-29
ISBN 10: 1118936337
ISBN 13: 9781118936337
Language: EN, FR, DE, ES & NL

Engineering Optimization Book Review:

An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process. Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project. Examples, exercises, and homework throughout reinforce the author’s “do, not study” approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field. Providing excellent reference for students or professionals, Engineering Optimization: Describes and develops a variety of algorithms, including gradient based (such as Newton’s, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for “making the best choices” will find value in this introductory resource.

Model Validation and Uncertainty Quantification Volume 3

Model Validation and Uncertainty Quantification  Volume 3
Author: Robert Barthorpe
Publsiher: Unknown
Total Pages: 288
Release: 2020
ISBN 10: 9783030120764
ISBN 13: 3030120767
Language: EN, FR, DE, ES & NL

Model Validation and Uncertainty Quantification Volume 3 Book Review:

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools.

Government Reports Announcements Index

Government Reports Announcements   Index
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1996-06
ISBN 10:
ISBN 13: MINN:30000005966175
Language: EN, FR, DE, ES & NL

Government Reports Announcements Index Book Review:

Experimentation Validation and Uncertainty Analysis for Engineers

Experimentation  Validation  and Uncertainty Analysis for Engineers
Author: Hugh W. Coleman,W. Glenn Steele
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2018-04-09
ISBN 10: 1119417708
ISBN 13: 9781119417705
Language: EN, FR, DE, ES & NL

Experimentation Validation and Uncertainty Analysis for Engineers Book Review:

Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

Thermal Hydraulics of Water Cooled Nuclear Reactors

Thermal Hydraulics of Water Cooled Nuclear Reactors
Author: Francesco D'Auria
Publsiher: Woodhead Publishing
Total Pages: 1198
Release: 2017-05-18
ISBN 10: 0081006799
ISBN 13: 9780081006795
Language: EN, FR, DE, ES & NL

Thermal Hydraulics of Water Cooled Nuclear Reactors Book Review:

Thermal Hydraulics of Water-Cooled Nuclear Reactors reviews flow and heat transfer phenomena in nuclear systems and examines the critical contribution of this analysis to nuclear technology development. With a strong focus on system thermal hydraulics (SYS TH), the book provides a detailed, yet approachable, presentation of current approaches to reactor thermal hydraulic analysis, also considering the importance of this discipline for the design and operation of safe and efficient water-cooled and moderated reactors. Part One presents the background to nuclear thermal hydraulics, starting with a historical perspective, defining key terms, and considering thermal hydraulics requirements in nuclear technology. Part Two addresses the principles of thermodynamics and relevant target phenomena in nuclear systems. Next, the book focuses on nuclear thermal hydraulics modeling, covering the key areas of heat transfer and pressure drops, then moving on to an introduction to SYS TH and computational fluid dynamics codes. The final part of the book reviews the application of thermal hydraulics in nuclear technology, with chapters on V&V and uncertainty in SYS TH codes, the BEPU approach, and applications to new reactor design, plant lifetime extension, and accident analysis. This book is a valuable resource for academics, graduate students, and professionals studying the thermal hydraulic analysis of nuclear power plants and using SYS TH to demonstrate their safety and acceptability. Contains a systematic and comprehensive review of current approaches to the thermal-hydraulic analysis of water-cooled and moderated nuclear reactors Clearly presents the relationship between system level (top-down analysis) and component level phenomenology (bottom-up analysis) Provides a strong focus on nuclear system thermal hydraulic (SYS TH) codes Presents detailed coverage of the applications of thermal-hydraulics to demonstrate the safety and acceptability of nuclear power plants

Computational Science ICCS 2020

Computational Science     ICCS 2020
Author: Valeria V. Krzhizhanovskaya
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 3030504360
ISBN 13: 9783030504366
Language: EN, FR, DE, ES & NL

Computational Science ICCS 2020 Book Review:

American National Standard for the Determination of Steady State Neutron Reaction Rate Distributions and Reactivity of Nuclear Reactors

American National Standard for the Determination of Steady State Neutron Reaction Rate Distributions and Reactivity of Nuclear Reactors
Author: American Nuclear Society
Publsiher: Unknown
Total Pages: 25
Release: 1996
ISBN 10:
ISBN 13: PSU:000046441690
Language: EN, FR, DE, ES & NL

American National Standard for the Determination of Steady State Neutron Reaction Rate Distributions and Reactivity of Nuclear Reactors Book Review: