Verification Validation And Uncertainty Quantification Of Multi Physics Modeling Of Nuclear Reactors
Download Verification Validation And Uncertainty Quantification Of Multi Physics Modeling Of Nuclear Reactors full books in PDF, epub, and Kindle. Read online free Verification Validation And Uncertainty Quantification Of Multi Physics Modeling Of Nuclear Reactors ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Verification Validation and Uncertainty Quantification of Multi Physics Modeling of Nuclear Reactors
Author | : Maria Avramova,Kostadin Ivanov |
Publsiher | : Woodhead Publishing Series in |
Total Pages | : 300 |
Release | : 2018-09-15 |
Genre | : Technology & Engineering |
ISBN | : 012814954X |
Download Verification Validation and Uncertainty Quantification of Multi Physics Modeling of Nuclear Reactors Book in PDF, Epub and Kindle
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
Uncertainty Quantification in Multiscale Materials Modeling
Author | : Yan Wang,David L. McDowell |
Publsiher | : Woodhead Publishing |
Total Pages | : 606 |
Release | : 2020-03-10 |
Genre | : Technology & Engineering |
ISBN | : 9780081029428 |
Download Uncertainty Quantification in Multiscale Materials Modeling Book in PDF, Epub and Kindle
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
Reactor Physics Methods and Applications
Author | : Tengfei Zhang,Ding She,Shripad T. Revankar,Jun Wang,Qian Zhang |
Publsiher | : Frontiers Media SA |
Total Pages | : 272 |
Release | : 2022-06-29 |
Genre | : Technology & Engineering |
ISBN | : 9782889764570 |
Download Reactor Physics Methods and Applications Book in PDF, Epub and Kindle
Expansion of the Severe Accident Code MELCOR by Coupling External Models
Author | : Dietrich, Philipp |
Publsiher | : KIT Scientific Publishing |
Total Pages | : 162 |
Release | : 2017-02-20 |
Genre | : Heat |
ISBN | : 9783731506034 |
Download Expansion of the Severe Accident Code MELCOR by Coupling External Models Book in PDF, Epub and Kindle
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 |
Genre | : Technology & Engineering |
ISBN | : 9783319045528 |
Download Model Validation and Uncertainty Quantification Volume 3 Book in PDF, Epub and Kindle
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
Model Validation and Uncertainty Quantification Volume 3
Author | : Roland Platz,Garrison Flynn,Kyle Neal,Scott Ouellette |
Publsiher | : Springer Nature |
Total Pages | : 208 |
Release | : 2023-10-06 |
Genre | : Technology & Engineering |
ISBN | : 9783031370038 |
Download Model Validation and Uncertainty Quantification Volume 3 Book in PDF, Epub and Kindle
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the third volume of ten 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: Introduction of Uncertainty Quantification Uncertainty Quantification in Dynamics Model Form Uncertainty and Selection incl. Round Robin Challenge Sensor and Information Fusion Virtual Sensing, Certification, and Real-Time Monitoring Surrogate Modeling
Advanced Modeling and Simulation of Nuclear Reactors
Author | : Jingang Liang,Qingming He,Shichang Liu,Yang Liu,Jiankai Yu |
Publsiher | : Frontiers Media SA |
Total Pages | : 161 |
Release | : 2023-04-10 |
Genre | : Technology & Engineering |
ISBN | : 9782832520314 |
Download Advanced Modeling and Simulation of Nuclear Reactors Book in PDF, Epub and Kindle
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 |
Genre | : Mathematics |
ISBN | : 9780309256346 |
Download Assessing the Reliability of Complex Models Book in PDF, Epub and Kindle
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.