Development of Aerodynamic Optimisation

空气动力学优化的发展

• 批准号: 2894268
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2894268
• 关键词: Development; Aerodynamic; Optimisation

My interest in fluid dynamic modelling developed during my degree and subsequent industrial employment, and has now matured to the extent that I feel comfortable planning postgraduate study within the field. CFD itself is a mature field, and my intention is therefore to move in to the next cutting-edge area of shape optimisation using CFD. Exciting questions relating to designing optimal geometries using CFD remain unanswered in many respects. For example, two of the most fundamental restrictions to fluid-based geometric optimisation are that the topology of the shape usually remains unchanged, and also that the parameter set defining the shape does not change in terms of resolution. My objectives will therefore be focused on exploring topology free parameterisations that also permit geometric refinement. One current area of interest is volume of solid parameterisations. These parameterisations will be used so that additional design variables may be added during the optimisation process, and so that the method has full scope to explore a wide variety of shapes. The goal will be to create tools which are able to automatically generate new aerodynamic designs with improved performance. Tools for achieving this exist in part within the University of Bristol, in the form of in-house CFD tools, as well as a pre-existing history of developing parameterisations. The existing CFD tools will be coupled to new parameterisations, and the capability to geometrically refine will be included. The final step will be to make these methods accessible to practitioners in industry so that they can be readily applied to real-world problems. My interest in fluid dynamic modelling developed during my degree and subsequent industrial employment, and has now matured to the extent that I feel comfortable planning postgraduate study within the field. CFD itself is a mature field, and my intention is therefore to move in to the next cutting-edge area of shape optimisation using CFD. Exciting questions relating to designing optimal geometries using CFD remain unanswered in many respects. For example, two of the most fundamental restrictions to fluid-based geometric optimisation are that the topology of the shape usually remains unchanged, and also that the parameter set defining the shape does not change in terms of resolution. My objectives will therefore be focused on exploring topology free parameterisations that also permit geometric refinement. One current area of interest is volume of solid parameterisations. These parameterisations will be used so that additional design variables may be added during the optimisation process, and so that the method has full scope to explore a wide variety of shapes. The goal will be to create tools which are able to automatically generate new aerodynamic designs with improved performance. Tools for achieving this exist in part within the University of Bristol, in the form of in-house CFD tools, as well as a pre-existing history of developing parameterisations. The existing CFD tools will be coupled to new parameterisations, and the capability to geometrically refine will be included. The final step will be to make these methods accessible to practitioners in industry so that they can be readily applied to real-world problems.

我对流体动力学建模的兴趣是在我的学位和随后的行业工作中发展起来的，现在已经成熟到可以在该领域内规划研究生学习的程度。CFD本身是一个成熟的领域，因此我的目的是进入使用CFD进行形状优化的下一个前沿领域。有关使用CFD设计最佳几何形状的激动人心的问题在许多方面仍然没有得到回答。例如，基于流体的几何优化的两个最基本的限制是形状的拓扑通常保持不变，以及定义形状的参数集在分辨率方面不会改变。因此，我的目标将集中在探索也允许几何精化的无拓扑参数化。当前感兴趣的一个领域是实体参数的体积。将使用这些参数，以便在优化过程中添加额外的设计变量，从而使该方法具有探索各种形状的全部范围。目标将是创造能够自动生成性能更好的新的空气动力学设计的工具。实现这一点的工具部分存在于布里斯托尔大学内部，以内部CFD工具的形式存在，以及先前存在的开发参数化的历史。现有的CFD工具将与新的参数化相结合，并将包括几何优化的能力。最后一步是让工业从业者能够接触到这些方法，这样它们就可以很容易地应用于现实世界的问题。我对流体动力学建模的兴趣是在我的学位和随后的行业工作中发展起来的，现在已经成熟到可以在该领域内规划研究生学习的程度。CFD本身是一个成熟的领域，因此我的目的是进入使用CFD进行形状优化的下一个前沿领域。有关使用CFD设计最佳几何形状的激动人心的问题在许多方面仍然没有得到回答。例如，基于流体的几何优化的两个最基本的限制是形状的拓扑通常保持不变，以及定义形状的参数集在分辨率方面不会改变。因此，我的目标将集中在探索也允许几何精化的无拓扑参数化。当前感兴趣的一个领域是实体参数的体积。将使用这些参数，以便在优化过程中添加额外的设计变量，从而使该方法具有探索各种形状的全部范围。目标将是创造能够自动生成性能更好的新的空气动力学设计的工具。实现这一点的工具部分存在于布里斯托尔大学内部，以内部CFD工具的形式存在，以及先前存在的开发参数化的历史。现有的CFD工具将与新的参数化相结合，并将包括几何优化的能力。最后一步是让工业从业者能够接触到这些方法，这样它们就可以很容易地应用于现实世界的问题。