风扇／OGV宽频噪声建模的高保真CFD

该项目旨在解决超高旁通比（UHBR）航空发动机产生的宽带噪声问题。通过采用高保真计算流体动力学（CFD）技术，如大涡动模拟（LES），研究团队旨在解析风扇尾流中的湍流现象，并优化叶片设计，从而完善噪声预测模型。申请者应具备工程学、数学或物理学的背景，且最好具有CFD相关的实践经验。

About the project Ultra High Bypass Ratio (UHBR) aeroengines offer a pathway to quieter, more efficient aviation. However, their larger and slower fans introduce new challenges for broadband noise. Using high-fidelity computational fluid dynamics (CFD), this project will identify the turbulence characteristics that drive fan broadband noise and develop fast, accurate models for future aeroengine design. Fan wake turbulence interacting with outlet guide vanes (OGVs) is a major source of broadband noise in UHBR aeroengines. Current semi-analytical engineering models rely on simplified representations of the wake turbulence, which may not fully capture the highly non-uniform and anisotropic characteristics of realistic fan wakes. As UHBR designs push towards larger fans and shorter rotor-stator spacing, accurately representing these wake characteristics becomes increasingly important for reliable broadband noise prediction. This project will employ scale-resolving CFD, such as Large Eddy Simulation (LES) or Detached Eddy Simulation (DES), to simulate representative fan-OGV stages at low-speed conditions. The fan wake will be characterised in terms of turbulence intensity, integral length scales, velocity spectra and spatial coherence, with particular emphasis on their spanwise variation. The predicted turbulence characteristics will be validated against available experimental data. The unsteady OGV loading and broadband acoustic response will then be analysed to quantify how different turbulence characteristics influence broadband noise generation across frequencies and duct modes. The findings will identify the turbulence statistics most relevant to broadband noise prediction. These insights will inform improved semi-analytical engineering models, which will be assessed against existing approaches and experimental data to demonstrate improved prediction accuracy. The project is jointly funded by Rolls-Royce and the EPSRC Centre for Doctoral Training in Sustainable Sound Futures . You'll be hosted within the Rolls-Royce University Technology Centre (UTC) in Propulsion Systems Noise at the Institute of Sound and Vibration Research (ISVR), University of Southampton. The UTC is a world-leading hub for aeroacoustics research, offering close collaboration with the global Rolls-Royce noise engineering team in the UK and Germany. Find out more about our research . Training will be tailored to your background and needs, with opportunities to develop expertise throughout the project. We value curiosity, collaboration, persistence and a willingness to learn. The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.

入学要求 英国2:1荣誉学位或同等国际学位，且所学专业为以下领域之一： 工程学 数学 物理学 一个密切相关的学科领域 理想的技能： 计算流体动力学（CFD）经验，理想情况下应适用于涡轮机械或其他内部流动现象 对尺度分解湍流建模方法（如 LES、DES）的了解 数据分析经验，尤其是大型数据集的统计分析经验 在获得聘用之前，您必须同意接受基本人员安全标准（BPSS）检查，并同意在罗尔斯-罗亚斯大学推进系统噪声技术中心内遵循我们的标准工作程序。

资助：完全由资金支持（英国及国际资金） 学费与资助 我们为英国本土学生和国际学生提供多种资助机会。符合条件的学生可通过“地平线欧洲”学费减免，自动免除国际学生学费与英国本土学生学费之间的差额。 大学通过竞争性遴选授予的校长助学金，为遴选排名靠前的申请人支付国际学生学费与英国本土学生学费之间的差额。 本校各学院通过竞争性遴选提供的博士奖助金，通常为遴选排名靠前的申请人支付按英国本土学生标准收取的学费，并提供生活津贴。 资助采用滚动授予方式，因此请尽早申请，以尽可能增加进入资助评选的机会。 如需了解更多信息，请访问我们的研究生研究资助页面。

如何申请 您需： 选择课程类型（研究型）、2027/28学年、工程与物理科学学院 选择全日制或非全日制 搜索工程与环境博士项目（7175） 在申请表第2部分填写导师姓名 申请材料应包括： 您的CV（个人简历） 2份学术推荐信 截至目前的学位课程成绩单和证书 英语语言资格证明（如适用）