Development of a Less Dissipative Interface Variable Reconstruction to Solve the Euler Equations by Q Learning Method
學年 112
學期 2
出版（發表）日期 2024-07-01
作品名稱 Development of a Less Dissipative Interface Variable Reconstruction to Solve the Euler Equations by Q Learning Method
作品名稱（其他語言）
著者 Niu, Yang-yao
單位
出版者
著錄名稱、卷期、頁數 Communications in Computational Physics 36(2),　p.160-199
摘要 In this study, we propose a blend of the average of THINC-EM and MUSCL (ATM) methods based on the AUSMD scheme for solving detonation wave problems. It is well known that the simulation of the detonation problems can produce incorrect shock information or strong spurious due to the stiff source term. Accurate simulation of detonation problems plays a crucial role in the design of detonation engines. The proposed ATM method combines the MUSCL and THINC-EM methods with different weighting functions, the optimized parameters of which are determined by the Q-learning method in order to accurately capture detonation waves, shock waves, and expansion fans. To validate the proposed numerical method, one and two-dimensional shock tube and the detonation tube and nozzles are chosen as benchmark test cases. Our numerical results show that the proposed the ATM type AUSMD scheme has great potential for handling more complex detonation problems and pulse detonation engine flow problems.
關鍵字
語言 en
ISSN 1815-2406
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Yang-Yao Niu
審稿制度 是
國別 HKG
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126904 )