Moving Particle Semi-implicit Method
Recent Developments and Applications
- 1st Edition - May 19, 2023
- Imprint: Elsevier
- Authors: Gen Li, Guangtao Duan, Xiaoxing Liu, Zidi Wang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 5 0 8 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 5 0 9 - 5
Moving Particle Semi-implicit Method: Recent Developments and Applications offers detailed step-by-step guidance for advanced numerical models in the MPS method. With a strong fo… Read more
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Request a sales quoteMoving Particle Semi-implicit Method: Recent Developments and Applications offers detailed step-by-step guidance for advanced numerical models in the MPS method. With a strong focus on overcoming challenges, such as low improving accuracy and numerical stability, the book also examines the applications of MPS, particularly within nuclear engineering. Beginning with an introduction to grid-based and particle-based numerical methods, the book then reviews the original MPS method. Following chapters examine how the original method can be improved, covering topics such as improved discretization models, stabilization methods, multiphase flow and turbulence models, and improving efficiency.
Closing chapters analyze applications in nuclear and ocean engineering, as well as considering future developments and implications. This book is an essential read for graduates, researchers and engineers interested in nuclear engineering and computational fluid dynamics.
- Presents detailed information on the advanced numerical models in the Moving Particle Semi-Implicit (MPS) method, including the improved discretization scheme, stabilization method, boundary condition, multiphase flow and fluid-structure interaction
- Provides the latest advances in improving the accuracy, stability and consistency of the MPS method
- Highlights the nuclear and ocean engineering applications of MPS
Graduates, researchers and engineers interested in nuclear engineering and computational fluid dynamics
- Cover image
- Title page
- Table of Contents
- Copyright
- About the authors
- Chapter one. Introduction
- Abstract
- 1.1 Grid-based numerical method
- 1.2 Particle-based numerical method
- References
- Chapter two. Original moving particle semi-implicit method
- Abstract
- 2.1 Governing equations
- 2.2 Basic particle interaction models
- 2.3 Boundary conditions
- 2.4 Time marching algorithm
- References
- Chapter three. Improved discretization models
- Abstract
- 3.1 Improvement of pressure poisson equations
- 3.2 Corrective matrix for particle interaction models
- 3.3 Least square MPS
- 3.4 Conservative consistent MPS scheme
- 3.5 Particle-mesh coupling method
- References
- Chapter four. Stabilization methods
- Abstract
- 4.1 Gradient model with stabilizing force
- 4.2 Particle shifting scheme
- 4.3 Collision model
- 4.4 Dynamic stabilization
- 4.5 Artificial viscosity
- References
- Chapter five. Boundary conditions
- Abstract
- 5.1 Wall boundary
- 5.2 Free surface boundary
- 5.3 Inflow and outflow boundaries
- References
- Chapter six. Surface tension models
- Abstract
- 6.1 Potential-based model
- 6.2 Continuum model
- 6.3 Stress-based model
- References
- Chapter seven. Multiphase flow and turbulence models
- Abstract
- 7.1 Gas–liquid two-phase flow
- 7.2 Solid–liquid two-phase flow
- 7.3 Turbulence model
- References
- Chapter eight. Heat transfer models
- Abstract
- 8.1 Governing equation and discretization
- 8.2 Heat transfer boundary conditions
- 8.3 Solid–liquid phase change model
- 8.4 Gas–liquid phase change model
- References
- Chapter nine. Efficiency improvement
- Abstract
- 9.1 OpenMP parallelization
- 9.2 Message passing interface parallelization
- 9.3 Graphics processing unit acceleration
- 9.4 Multiresolution models
- References
- Chapter ten. Applications in nuclear engineering
- Abstract
- 10.1 Fundamental thermal hydraulics
- 10.2 Melt behavior in severe accidents
- References
- Chapter eleven. Applications in ocean engineering
- Abstract
- 11.1 Hydrodynamics
- 11.2 Fluid and elastic structure interactions
- References
- Chapter Twelve. Summary and outlook
- Abstract
- Index
- Edition: 1
- Published: May 19, 2023
- No. of pages (Paperback): 266
- No. of pages (eBook): 266
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443135088
- eBook ISBN: 9780443135095
GL
Gen Li
Gen Li is a professor at South China University of Technology. He got his PhD degree from Waseda University, Japan, in 2015, and then joined the faculty of the Xi’an Jiaotong University, China. In 2021, he moved to South China University of Technology where he is currently working. Prof. Li has been working on the particle method development and the method application in nuclear engineering for many years. He proposed an axisymmetric multiphase Moving Particle Semi-implicit (MPS) method and applied the MPS method to the simulations of nuclear reactor thermal hydraulics and severe accident phenomena. He has published more than 30 journal papers and got three projects from National Natural Science Foundation of China and Ministry of Science and Technology of China. He is an active member of the China Nuclear Society and has close collaboration with other international research institutions.
Affiliations and expertise
Professor, South China University of Technology, ChinaGD
Guangtao Duan
Guangtao Duan is a Project Assistant Professor at The University of Tokyo. He got his PhD degree from Xi’an Jiaotong University, China, in 2016. He worked as postdoctoral researcher in The University of Tokyo (2016-2019) and Waseda University (2017-2019). From 2020, he got his current position at The University of Tokyo. Dr. Duan has done a lot of excellent work on particle method development. He proposed a high-accuracy particle method, sharp interface algorithm in multiphase flow, and advanced solid-liquid and evaporation models. His research has been published on some highly influential international journals. Dr. Duan is also a project principal investigator of the Japan Society for the Promotion of Science.
Affiliations and expertise
Assistant Professor, The University of Tokyo, JapanXL
Xiaoxing Liu
Xiaoxing Liu is an associate professor at Sun Yat-Sen University. He completed his PhD study in Kyushu University, Japan, in 2012-2015. After that, he worked as postdoctoral research fellow in the same laboratory as his PhD study. In 2020, he joined the faculty of Sun Yat-Sen University. His research interests focus on the meshless particle methods and simulations of nuclear reactor severe accident. Dr. Liu also published many research papers related to advanced numerical models in particle method. He has served as session chair in many international conferences (IACM, NUTHOS, etc.).
Affiliations and expertise
Associate Professor, Sun Yat-Sen University, ChinaZW
Zidi Wang
Dr. Zidi Wang is a researcher at the Nuclear Safety Research Center, Japan Atomic Energy Agency. He received his B.Sci degree (2012) and M.Sci degree (2015) from Xi'an Jiaotong University and Shanghai Jiao Tong University, respectively. After that, he received his Ph.D. (2018) from the University of Tokyo, Japan. His research interests include the development of particle method for free surface/interfaces flows and its applications to nuclear safety analysis.
Affiliations and expertise
Researcher, Japan Atomic Energy Agency, Ibaraki, JapanRead Moving Particle Semi-implicit Method on ScienceDirect