Advanced Landing Gear Aero-loads and Aero-noise Prediction (ALGAAP)

先进起落架航空载荷和航空噪声预测 (ALGAAP)

• 批准号: 101371
• 金额: $ 79.23万
• 依托单位: AIRBUS OPERATIONS LIMITED
• 依托单位国家: 英国
• 项目类别: BEIS-Funded Programmes
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=101371
• 关键词: Advanced; Landing; Gear; Aero; loads

There are two principal activities in this project, related by the common objective of providing high-precision, aero-loads and noise predicition for landing gear and doors. The first activity will develop and test a 1/10th scale aircraft model including detailed models of main and nose landing gears. The landing gear models include movable doors, landing gear, steering and bogies. Loads data is captured using miniature load cells mounted on the model components in addition to pressure tapings. The second activity will focus on the development of high precision CFD landing-gear aero-loads and noise-prediction methods using non-steady CDF codes used previously for noise prediction. These models will be validated against a variety of wind tunnel tests including PIV testing. Validation of these CFD models against wind-tunnel test data is the objective of the project.

该项目有两个主要活动，与为起落架和起落架提供高精度、空气载荷和噪音预测的共同目标相关。第一项活动将开发和测试1/10比例的飞机模型，包括主起落架和前起落架的详细模型。起落架模型包括活动门、起落架、转向和转向架。除了压力胶带外，还可以使用安装在模型组件上的微型称重传感器来捕获负载数据。第二项活动将侧重于开发高精度的CFD起落架空气载荷和使用以前用于噪声预测的非稳态CDF代码的噪声预测方法。这些模型将通过包括PIV测试在内的各种风洞测试进行验证。根据风洞试验数据验证这些CFD模型是该项目的目标。