Improving Finite Volume Methods for Industrial CFD: Adaptation, Error Quantification, and Robust Convergence

改进工业 CFD 的有限体积方法：适应、误差量化和鲁棒收敛

• 批准号: 537052-2018
• 负责人: OllivierGooch, Carl
• 金额: $ 5.68万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=720220
• 关键词: Improving; Finite; Volume; Methods; Industrial

As computer power has grown, the complexity of problems simulated using computational fluid dynamics (CFD) has grown apace. Greater emphasis is also being placed on quantifying the accuracy of simulation results. Existing techniques for this task often have prohibitively large computational resource requirements.Addressing this need requires a new paradigm in which a robust flow solver with adaptive and error quantification capabilities reliably produces solutions with known error bounds with minimal human intervention. This project will prototype new techniques for estimating and reducing numerical error in simulation of flow problems, and for making commercial CFD software more efficient and able to compute solutions more robustly. We will do this work in a unified framework compatible with the second-order unstructured mesh finite volume methods employed in modern commercial CFD solvers. We expect that these advances can begin to be deployed in current commercial CFD solvers within two to five years. We will also work with ANSYS Canada to assess the use of new algorithms developed in our previous collaborative project in combination with their existing commercial flow solver. While the present work will focus on second-order methods, we expect that more accurate finite volume methods will migrate into commercial CFD solvers, and we will plan for a clear upgrade path to providing adaptation and robustness improvements for high order methods in the five to ten year time frame.These advances will provide an important competitive advantage to our industrial partner in this project, ANSYS Canada, as the vendor whose software will be the first to provide these capabilities. In turn, their Canadian customers will benefit through improved accuracy of and confidence in simulation results and increased productivity of engineers using CFD.

随着计算机能力的增强，使用计算流体动力学 (CFD) 模拟的问题的复杂性也在迅速增加。人们还更加重视量化模拟结果的准确性。 用于此任务的现有技术通常需要大量的计算资源。解决这一需求需要一种新的范例，其中具有自适应和误差量化功能的鲁棒流求解器能够以最少的人为干预可靠地生成具有已知误差范围的解决方案。 该项目将建立新技术的原型，用于估计和减少流动问题模拟中的数值误差，并使商业 CFD 软件更加高效并能够更稳健地计算解决方案。 我们将在与现代商业 CFD 求解器中使用的二阶非结构化网格有限体积方法兼容的统一框架中完成这项工作。 我们预计这些进步可以在两到五年内开始应用于当前的商业 CFD 求解器。 我们还将与 ANSYS Canada 合作，结合他们现有的商业流量求解器，评估我们之前的合作项目中开发的新算法的使用情况。虽然目前的工作将重点关注二阶方法，但我们预计更准确的有限体积方法将迁移到商业 CFD 求解器中，并且我们将计划一条明确的升级路径，为五阶方法提供适应性和鲁棒性改进。十年的时间框架。这些进步将为我们在该项目中的工业合作伙伴 ANSYS Canada 提供重要的竞争优势，因为其软件将成为第一个提供这些功能的供应商。反过来，他们的加拿大客户将通过提高仿真结果的准确性和信心以及使用 CFD 提高工程师的工作效率而受益。