Multiscale and Multiphysics Modeling of Nuclear Facilities with Coupled Codes and its Uncertainty Quantification and Sensitivity Analysis

Liu, Chunyu

ISBN 10: 365843421X / ISBN 13: 9783658434212

Published by Springer Spektrum, 2024

About this Item

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 42808152/1

Bibliographic Details

• Title: Multiscale and Multiphysics Modeling of Nuclear Facilities with Coupled Codes and its Uncertainty Quantification and Sensitivity Analysis
• Publisher: Springer Spektrum
• Publication Date: 2024
• Language: English
• ISBN 10: 365843421X
• ISBN 13: 9783658434212
• Binding: Soft cover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

About this title

Synopsis

In this book, the author provides a deep study into multiscale and multiphysics modeling of nuclear facilities, underscoring the critical role of uncertainty quantification and sensitivity analysis to ensure the confidence in the numerical results and to identify the system characteristics. Through an in-depth study of the liquid metal cooling system from the TALL-3D loop to the SMDFR core, the research highlights the natural circulation instability, strong coupling effects, perturbation tolerance, and system stability. The culmination of the research is the formulation of an optimized uncertainty-based control scheme, demonstrating its versatility beyond the nuclear domain to other energy sectors. This groundbreaking work not only advances the comprehension and utilization of coupling schemes and uncertainty methodologies in nuclear system modeling but also adeptly bridges the theoretical constructs with tangible application, positioning itself as an indispensable resource for design, safety analysis, and advanced numerical modeling in the broader energy sector.

About the Author

 Chunyu Liu is a senior researcher at the Chair of Nuclear Technology at the Technical University of Munich, Germany, where he is involved in research, project management and teaching. His research focuses on high-fidelity numerical simulations as well as uncertainty quantification and sensitivity analysis for advanced nuclear systems.