Numerical modelling and simulation of complex multiphase flows.

复杂多相流的数值建模和模拟。

• 批准号: 418403-2012
• 负责人: Hay, Alexander
• 金额: $ 1.6万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=573638
• 关键词: Numerical; modelling; simulation; complex; multiphase

Multiphase flows are ubiquitous in Nature and Technology so that it is estimated that over half of industrial applications involve to some extent multiphase flow processes. Engineers face unprecedented challenges because of the increasing complexity of the analyses needed to design multiphase flow systems. This research focuses on separated flows (as opposed to dispersed flows) and rely on computational models to improve the predictive capability and scientific analysis of multiphase flow systems. While direct numerical simulations is more and more used, there are many difficulties that are not currently addressed by available commercial software though the strategic importance of such tools. Hence, we target the development of a adaptive finite-element front capturing methodology along with an implicit fully-coupled solution procedure with highly stable time integrators. The proposed simulation approach will lead to higher fidelity models incorporating complex physics. Furthermore, anisotropic adaptivity will guarantee error levels in solutions so that reliable multiphase flow analysis can be performed with a high degree of confidence. Hence it will pave the way to the scientific analysis of multiphase flow phenomena and allow for simulations that are beyond the reach of existing solvers. A second aspect is to provide engineers with low-cost surrogate models of multiphase flow systems to speed up the design cycle of products. Indeed, the simulation methodology just described leads to computationally demanding models that produce solutions with a level of details mandatory for scientific understanding but which usually far exceeds what is needed to design engineering systems. We propose to use reduced-order modelling to reduce the mathematical complexity of these large numerical models to yield low-cost approximations required for performing the numerous repeated analyses essential in design optimization.

多相流本质和技术无处不在，因此估计超过一半的工业应用在某种程度上涉及多相流过程。工程师面临前所未有的挑战，因为设计多相流系统所需的分析的复杂性日益增加。这项研究的重点是分离的流（而不是分散流），并依靠计算模型来改善对多相流系统的预测能力和科学分析。 虽然直接数值模拟越来越多地使用，但是尽管这种工具的战略重要性，但目前尚未通过可用的商业软件解决许多困难。因此，我们针对自适应有限元捕获方法的开发以及具有高度稳定的时间积分器的隐式完全耦合的解决方案程序。提出的仿真方法将导致更高的保真度模型结合了复杂的物理学。此外，各向异性适应性将确保解决方案中的误差水平，以便可以高度置信度进行可靠的多相流分析。因此，它将为多相流现象的科学分析铺平道路，并允许模拟现有求解器无法触及的模拟。 第二个方面是为工程师提供多相流系统的低成本替代模型，以加快产品的设计周期。确实，刚刚描述的模拟方法会导致计算要求的模型，这些模型产生了具有科学理解的一系列细节的解决方案，但通常远远超过了设计工程系统所需的内容。我们建议使用降低的建模来降低这些大数字模型的数学复杂性，以产生执行设计优化必不可少的众多重复分析所需的低成本近似值。