Verification  Validation and Uncertainty Quantification of Multi Physics Modeling of Nuclear Reactors Book

Verification Validation and Uncertainty Quantification of Multi Physics Modeling of Nuclear Reactors


  • Author : Maria Avramova
  • Publisher : Woodhead Publishing Series in
  • Release Date : 2018-09-15
  • Genre: Technology & Engineering
  • Pages : 300
  • ISBN 10 : 012814954X

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Verification Validation and Uncertainty Quantification of Multi Physics Modeling of Nuclear Reactors Excerpt :

Verification, Validation and Uncertainty Quantification in Multi-Physics Modeling of Nuclear Reactors is a key reference for those tasked with ensuring the credibility and reliability of engineering models and simulations for the nuclear industry and nuclear energy research. Sections discuss simulation challenges and revise key definitions, concepts and terminology. Chapters cover solution verification, the frontier discipline of multi-physics coupling verification, model validation and its applications to single and multi-scale models, and uncertainty quantification. This essential guide will greatly assist engineers, scientists, regulators and students in applying rigorous verification, validation and uncertainty quantification methodologies to the M&S tools used in the industry. The book contains a strong focus on the verification and validation procedures required for the emerging multi-physics M&S tools that have great potential for use in the licensing of new reactors, as well as for power uprating and life extensions of operating reactors. Uniquely--and crucially for nuclear engineers--demonstrates the application of verification, validation and uncertainty methodologies to the modeling and simulation (M&S) of nuclear reactors Equips the reader to develop a rigorously defensible validation process irrespective of the particular M&S tool used Brings the audience up-to-speed on validation methods for traditional M&S tools Extends the discussion to the emerging area of validation of multi-physics and multi-scale nuclear reactor simulations

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

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


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2010
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : OCLC:873865836

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

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

Uncertainty Quantification in Multiscale Materials Modeling Book

Uncertainty Quantification in Multiscale Materials Modeling


  • Author : Yan Wang
  • Publisher : Woodhead Publishing
  • Release Date : 2020-03-10
  • Genre: Technology & Engineering
  • Pages : 604
  • ISBN 10 : 9780081029428

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Uncertainty Quantification in Multiscale Materials Modeling Excerpt :

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

Model Validation and Uncertainty Quantification  Volume 3 Book

Model Validation and Uncertainty Quantification Volume 3


  • Author : H. Sezer Atamturktur
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-04-11
  • Genre: Technology & Engineering
  • Pages : 427
  • ISBN 10 : 9783319045528

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Model Validation and Uncertainty Quantification Volume 3 Excerpt :

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

Reactor Physics  Methods and Applications Book

Reactor Physics Methods and Applications


  • Author : Tengfei Zhang
  • Publisher : Frontiers Media SA
  • Release Date : 2022-06-29
  • Genre: Technology & Engineering
  • Pages : null
  • ISBN 10 : 9782889764570

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Assessing the Reliability of Complex Models Book

Assessing the Reliability of Complex Models


  • Author : National Research Council
  • Publisher : National Academies Press
  • Release Date : 2012-07-26
  • Genre: Mathematics
  • Pages : 144
  • ISBN 10 : 9780309256346

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Assessing the Reliability of Complex Models Excerpt :

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.

High Performance Computing Applications in Numerical Simulation and Edge Computing Book

High Performance Computing Applications in Numerical Simulation and Edge Computing


  • Author : Changjun Hu
  • Publisher : Springer Nature
  • Release Date : 2019-08-28
  • Genre: Computers
  • Pages : 247
  • ISBN 10 : 9789813299870

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High Performance Computing Applications in Numerical Simulation and Edge Computing Excerpt :

This book constitutes the referred proceedings of two workshops held at the 32nd ACM International Conference on Supercomputing, ACM ICS 2018, in Beijing, China, in June 2018. This volume presents the papers that have been accepted for the following workshops: Second International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and First International Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018. The 20 full papers presented during HPCMS 2018 and HiDEC 2018 were carefully reviewed and selected from numerous submissions. The papers reflect such topics as computing methodologies; parallel algorithms; simulation types and techniques; machine learning.

Nuclear Power Plant Design and Analysis Codes Book

Nuclear Power Plant Design and Analysis Codes


  • Author : Jun Wang
  • Publisher : Woodhead Publishing
  • Release Date : 2020-11-10
  • Genre: Technology & Engineering
  • Pages : 608
  • ISBN 10 : 9780128181911

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Nuclear Power Plant Design and Analysis Codes Excerpt :

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.

Energy and Water Development Appropriations for 2001 Book

Energy and Water Development Appropriations for 2001


  • Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
  • Publisher : Unknown
  • Release Date : 2000
  • Genre: Energy development
  • Pages : null
  • ISBN 10 : UCBK:C072279309

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Energy and Water Development Appropriations for 2001 Excerpt :

Computational Science     ICCS 2020 Book

Computational Science ICCS 2020


  • Author : Valeria V. Krzhizhanovskaya
  • Publisher : Springer Nature
  • Release Date : 2020-06-19
  • Genre: Computers
  • Pages : 667
  • ISBN 10 : 9783030504335

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Computational Science ICCS 2020 Excerpt :

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Energy and Water Development Appropriations for 2010 Book

Energy and Water Development Appropriations for 2010


  • Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
  • Publisher : Unknown
  • Release Date : 2009
  • Genre: Federal aid to energy development
  • Pages : null
  • ISBN 10 : MINN:31951D031238772

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Energy and Water Development Appropriations for 2014 Book

Energy and Water Development Appropriations for 2014


  • Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
  • Publisher : Unknown
  • Release Date : 2013
  • Genre: Federal aid to energy development
  • Pages : null
  • ISBN 10 : STANFORD:36105050648463

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Energy and Water Development Appropriations for 2014 Excerpt :