面向净零城市的数据驱动城市空气动力学研究

该项目结合了三维粒子追踪、机器学习与流体力学技术，用于分析建筑物周围的城市气流，旨在提高风荷载预测精度并降低城市环境中的碳足迹。申请者应具备工程或物理领域的背景，拥有流体力学或数据驱动分析方面的经验将更具优势。

About the project This project combines cutting-edge 3D particle tracking, machine learning and fluid mechanics to measure and predict urban airflow around buildings. The research will support safer, healthier and lower-carbon urban environments while providing world-class experimental and computational training. Engineering net-zero cities requires better methods for predicting wind loading, designing ventilation, ensuring pedestrian comfort and mitigating pollutant dispersion in complex urban environments. Current high-fidelity computational fluid dynamics (CFD) methods can provide detailed flow information but are often too computationally expensive for design and planning. This project addresses the challenge of obtaining accurate flow and pressure data around buildings using a combination of advanced experiments, physics-informed machine learning and data assimilation. You'll develop novel object-aware 3D Particle Tracking Velocimetry (PTV) methods based on retroreflective shadowgraph imaging, enabling flow measurements in complex urban geometries with significant visual occlusions. These measurements will be combined with state-of-the-art data assimilation techniques, such as our PIGLET framework , to reconstruct velocity and pressure fields while enforcing known flow physics and quantifying uncertainty. An extension will investigate reduced-order models for predicting unsteady flow and pollutant dispersion using resolvent analysis and Gaussian process regression. The measurements will be validated against large eddy simulations of urban flows and applied to problems including pedestrian-level wind comfort, natural ventilation and structural wind loading. Improved prediction capability could support reduced embodied carbon in buildings through less conservative wind-loading estimates, improved passive ventilation strategies, and safer, more liveable urban environments. You'll join a thriving research community of over 50 PhDs, postdoctoral researchers and academics within the Aerodynamics and Flight Mechanics Group . You'll have access to our world-class Centre for Experimental Fluid Mechanics laboratories equipped with state-of-the-art flow diagnostics, which are complemented by our IRIDIS high-performance computing facilities . You'll receive comprehensive, hands-on training in advanced experimental and computational techniques for fluid mechanics, including 3D particle tracking velocimetry and large eddy simulation. You'll also develop expertise in data-driven analysis, scientific computing, and the application of machine learning to large datasets. In addition to technical training, you'll have access to the University’s doctoral college professional development programme, offering workshops including research communication, high performance computing, and academic writing. You'll be supported to publish your research, present at international conferences, and collaborate with academic and industrial partners, gaining valuable professional experience. This training will equip you with a highly sought-after skill set, spanning experimental aerodynamics, CFD, data science, and physics-based modelling, that will prepare you for careers in academia, research and development, or industry. 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 物理学 相关课题

资助：竞争性资助 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。

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