Non-Oberbeck-Boussinesq效应下两相自然对流问题的建模及高效算法研究
批准号:
12101391
项目类别:
青年科学基金项目(C类)
资助金额:
30.0 万元
负责人:
潘晓敏
依托单位:
学科分类:
微分方程数值解的基础理论与方法
结题年份:
2024
批准年份:
2021
项目状态:
已结题
项目参与者:
潘晓敏
中文摘要
两相流中的自然对流广泛存在于自然界和工业生产中。大温差条件下,流体物性参数随温度的变化不可忽略,需要考虑non-Oberbeck-Boussinesq(NOB)效应。因此,为了更加准确、高效地认识两相自然对流,需要建立有效的数学模型并设计高效的数值算法探讨NOB效应对该问题的影响。项目拟采用交错时间离散思想,针对单相NOB自然对流,建立改善时间步长限制、精确、高效的隐式方法及并行格式;考虑物性参数随温度的非线性变化,耦合相场模型,建立NOB假设下的两相自然对流模型;将求解单相问题的隐式算法拓展到两相系统,设计稳定、高精度、高效并能精确捕捉变化的数值方法及并行格式;拓展两相NOB自然对流算法到三维问题,探究NOB效应对不同两相流体系统流动、传热、相界面变化的影响。该项目是数学、热力学等领域的深刻交叉,拓宽了非等温两相流问题的研究思路,对准确、高效地模拟非等温两相流的流动和传热具有重要意义。
英文摘要
Two-phase natural convection not only occurs in natural science and many chemical engineering applications but also is the key issue of scientific problems (e.g., nuclear reactor and nanofluid technology). For the cases with relatively large temperature difference, the physical parameters of two phases may strongly depend on the temperature, and non-Oberbeck-Boussinesq (NOB) effects should be involved. Therefore, it will be a new and valuable topic to investigate the NOB effects on two-phase natural convection problems. Firstly, inspired by our previous work, for single-phase natural convection with NOB effects, the staggered time discretization technique is introduced to propose a stable, accurate, and efficient projection-method-based implicit numerical scheme. Secondly, by considering the nonlinear temperature-dependence of physical properties (e.g., fluid density, viscosity, thermal conductivity, and specific heat capacity) and phase-field model (Cahn-Hilliard equation), a reasonable mathematical model can be designed for describing the two-phase natural convection problems with NOB effects. Based on this mathematical model, a new method can be developed based on the proposed scheme for single-phase natural convection. It is expected that the method is able to not only maintain the high stability, excellent accuracy, and efficiency but also capture the interface movement accurately. Two- and three-dimensional two-phase natural convection problems will be simulated by considering the NOB effects using the parallelized version of the proposed algorithms. Moreover, the NOB effects on fluid motion, heat transfer, and interface movement will be investigated and analyzed in detail. The present work is a kind of mathematics-based multidisciplinary area and will expand the research areas of two-phase natural convection problems.
本项目聚焦于 NOB (non-Oberbeck-Boussinesq) 效应下的自然对流问题,旨在开发高效、稳定的数值算法,以应对大温差条件下复杂流体流动与热传递的模拟。首先,针对 NOB 效应下的单相自然对流问题,本项目提出了一种基于隐式 Crank-Nicolson 时间离散格式的算法。该算法有效解决了大温差条件下控制方程中的非线性耦合问题,显著提高了计算效率并减少了时间步长限制。数值实验结果表明,该算法在不同流体(如空气、水、甘油等)环境下展现了良好的稳定性和精度。其次,本项目成功将 NOB 效应下的自然对流问题扩展至三维空间,并验证了所提出算法在处理湍流问题中的能力。通过与现有的实验数据和理论结果进行对比,验证了算法的可行性与准确性。最后,项目引入了一种新的标量辅助变量方法来求解多相流问题。该方法利用超双曲正切函数 (tanh) 作为辅助变量,能够确保数值稳定性,并在长时间模拟中保持高效性。超双曲正切函数的有界性、光滑性和正性特性,对于确保所提出数值算法在长期演化中的无条件能量稳定性至关重要。该方法显著提升了多相流问题的求解精度,提供了具有一阶、二阶、三阶和四阶精度的无条件稳定的数值算法。本项目的研究成果为非等温自然对流问题提供了新的数值解法,并推动了 NOB 效应在计算流体力学中的应用。所提出的高效算法和数值模拟方法不仅对学术研究具有重要意义,还为能源、环境和材料科学等领域的工业应用提供了理论支持。
大温差条件下纳米流体传热的高精度数值算法与数据驱动参数反演
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批准号:--
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项目类别:省市级项目
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资助金额:0.0万元
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批准年份:2025
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负责人:潘晓敏
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依托单位:
国内基金
海外基金