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Unsteady aerodynamics of wings in complex environments

复杂环境下机翼非定常空气动力学

基本信息

批准号：
2891558
负责人：
金额：
--
依托单位：
University of Southampton
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-2891558
关键词：
Unsteady aerodynamics wings complex environments

项目摘要

The large civil aircraft experiences extreme loads i.e., during turbulence and gusts. It is a great challenge to avoid clear-air turbulence (CAT), and the implications of sudden erratic turbulence on the aerodynamic characteristics of a subsonic wing in the troposphere and lower stratosphere have not been investigated enough. In particular, there is very little research into how turbulent eddies generated by the terrain that surrounds an airport located in a valley would interact with a climbing/descending aircraft. The aim of this project is to investigate the interactions between CAT (or gusts), the aircraft wing, and the formed wake flow. We aim to understand the underlying mechanisms for these interactions, and significantly enhance the accuracy of their prediction, and therefore to have a much better risk assessment of the CAT or gusts. Having tackled these problems will be beneficial to other applications, such as large wind turbines operating in gusty atmosphere, drones flying in extremely complex urban environments, front wings of race car loosing performance in wake generated by a preceding car.This project will use Computational Fluid Dynamics (CFD) approach to investigate the effects of large-scale turbulence on the performance characteristics of an aircraft wing during cruise, take-off and landing conditions. Numerical simulations will be carried out using the developed CFD software at the University of Southampton.

大型民用飞机承受极端载荷，即在湍流和阵风期间。避免晴空湍流(CAT)是一个巨大的挑战，而突然的不稳定湍流对对流层和平流层低层亚音速机翼气动特性的影响还没有得到足够的研究。特别是，关于位于山谷中的机场周围的地形产生的湍流涡流如何与上升/下降的飞机相互作用的研究很少。该项目的目的是研究猫(或阵风)、机翼和形成的尾流之间的相互作用。我们的目标是了解这些相互作用的潜在机制，并显著提高它们预测的准确性，从而对CAT或阵风有更好的风险评估。这些问题的解决将有益于其他应用，如在阵风大气中运行的大型风力涡轮机，在极其复杂的城市环境中飞行的无人机，赛车前翼因前车产生的尾流松动性能。本项目将使用计算流体动力学(CFD)方法来研究大尺度湍流对飞机机翼在巡航、起飞和降落条件下性能特性的影响。数值模拟将使用南安普顿大学开发的CFD软件进行。