Moving Particle Semi-implicit Method - Couverture souple

Li

Couverture souple

ISBN 10 : 0443135088 ISBN 13 : 9780443135088

Editeur : Elsevier, 2023

Synopsis

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 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.

A propos du livre

À propos des auteurs

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.

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.

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.).

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.

Détails de l'édition

• Éditeur: Elsevier
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 0443135088
• ISBN 13: 9780443135088
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 266
• Coordonnées du fabricant: ELSEVIER; https://www.elsevier.com/es-es; ; Mooswaldallee 6; Freiburg; 79108; Allemagne