Hypersonic nonequilibrium flow region identification and adaptive grid reconfiguration DSMC method
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摘要:
采用分子动力学理论导出系统熵与熵产率的计算公式,识别高超声速稀薄流非平衡区域。根据熵产与非平衡现象的基本关系,确定了衡量气体非平衡态的判断方法。由于熵产率参数存在局限性,提出了一种熵产克努森数(Knudsen number)作为气体非平衡态衡量参数,与局部克努森数相结合作为非平衡态判据。基于两种非平衡判据相结合的策略,发展了一套高超声速流场非平衡区域识别与网格自适应重构的DSMC(direct simulation Monte Carlo)计算方法。对典型非平衡流场进行模拟,数值结果表明:所提出的识别参数能精准识别全流场中的非平衡效应,识别率达到了99%以上。在此基础上重构非平衡区域网格,计算得到的流场宏观量相对误差小于3%,壁面气动参数相对误差小于5%,证明了自适应重构方法的有效性。
Abstract:By using the molecular dynamics theory, the calculation formulas for system entropy and entropy production rate were derived to identify non-equilibrium regions in hypersonic rarefied flows. A method for measuring the non-equilibrium state of gases was determined based on the fundamental relationship between entropy production and non-equilibrium phenomena. Due to the limitations of entropy production rate parameters, a gas non-equilibrium measure parameter called the entropy production Knudsen number was proposed, which was combined with the local Knudsen number as a criterion for non-equilibrium states. By integrating two non-equilibrium criteria, a direct simulation Monte Carlo (DSMC) computational method was developed for identifying non-equilibrium regions and performing grid adaptive reconstruction in hypersonic flow fields. Typical non-equilibrium flow fields were simulated, the results showed that the proposed identification parameters can accurately identify non-equilibrium effects throughout the flow field, with an identification rate of over 99%. On the basis of this strategy, the grid in the non-equilibrium region was reconstructed, and the relative errors of the macroscopic flow field quantities were less than 3%, while the relative errors of wall aerodynamic parameters were less than 5%, which demonstrated the effectiveness of adaptive reconstruction method.
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Key words:
- hypersonic /
- nonequilibrium flow /
- DSMC method /
- entropy generation rate /
- adaptive grid
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