非平衡流动中不确定性传播的研究

IF 1.1 4区 工程技术 Q4 MECHANICS
Tianbai Xiao
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引用次数: 0

摘要

粗粒度流体模型的现场解与实际流动物理之间存在相当大的不确定性。研究不确定性的产生、传播和演化为发展完善的理论和可靠的数值方法提供了巨大的机遇和挑战。本文研究了从分子到水动力的多尺度气体流动的随机行为,特别关注了非平衡效应。基于随机输入的气体动力学模型及其宏观系统进行了理论分析。采用一种新开发的随机动力学格式对多尺度非平衡流动进行了数值模拟。气体演化过程中涉及不同种类的不确定性。新的物理观测,如平均场和不确定性之间的同步旅行模式,不同阶的不确定性的敏感性和边界效应的影响,从连续到稀薄的状态,识别和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Investigation of Uncertainty Propagation in Non-equilibrium Flows
ABSTRACT Considerable uncertainties can exist between the field solutions of coarse-grained fluid models and the real-world flow physics. To study the emergence, propagation, and evolution of uncertainties poses great opportunities and challenges to develop both sound theories and reliable numerical methods. In this paper, we study the stochastic behaviour of multi-scale gaseous flows from molecular to hydrodynamic level, especially focussing on the non-equilibrium effects. The theoretical analysis is presented based on the gas kinetic model and its upscaling macroscopic system with random inputs. A newly developed stochastic kinetic scheme is employed to conduct numerical simulation of multi-scale and non-equilibrium flows. Different kinds of uncertainties are involved in the gas evolutionary processes. New physical observations, such as the synchronous travel pattern between mean fields and uncertainties, sensitivity of different orders of uncertainties and the influence of boundary effects from continuum to rarefied regimes, are identified and analysed.
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来源期刊
CiteScore
2.70
自引率
7.70%
发文量
25
审稿时长
3 months
期刊介绍: The International Journal of Computational Fluid Dynamics publishes innovative CFD research, both fundamental and applied, with applications in a wide variety of fields. The Journal emphasizes accurate predictive tools for 3D flow analysis and design, and those promoting a deeper understanding of the physics of 3D fluid motion. Relevant and innovative practical and industrial 3D applications, as well as those of an interdisciplinary nature, are encouraged.
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