2026年1月28日至2月10日，应澳大利亚墨尔本大学计算力学讲席教授Richard Sandberg (Chair Professor of Computational Mechanics in the Department of Mechanical Engineering at the University of Melbourne)的邀请，上海交大船海计算水动力学研究中心(CMHL)主任万德成教授在墨尔本大学作短期学术访问。Richard Sandberg讲席教授目前还担任墨尔本能源研究所所长(Melbourne Energy Institute’s Interim Director)。本次访问得到了上海交通大学-墨尔本大学种子基金（及联培博士）项目的资助。
Richard Sandberg教授是湍流流动精细化数值模拟领域知名专家，特别在基于精细化模拟技术理解湍流流动和流噪声机理，以及通过机器学习技术提升和改进低阶湍流数值模型可靠性等方面做出了杰出工作。下面是Richard Sandberg教授团队通过LES方法精细化模拟喷气式发动机压缩机叶片上复杂的湍流流动。
访问期间，万德成教授与Richard Sandberg教授进行了深入交流，特别是湍流的高保真数值仿真技术，通过机器学习技术改进和提高适用于工程应用的低阶精度湍流计算模型的可靠性，以及可再生能源和船舶工程节能方法与技术。万德成教授详细介绍了上海交大CMHL研究中心近几年在各向异性湍流高保真数值模拟、多相流湍流精细化模拟、船艉分离湍流精细化仿真、船舶减阻与高效推进技术等方面的工作。Richard Sandberg教授非常认可CMHL研究中心开展的研究工作，并高度赞赏CMHL研究中心取得的出色研究成果。万德成教授向Richard Sandberg教授和夫人赠送了上海交大CMHL研究中心成立20周年的纪念礼品。Richard Sandberg教授对CMHL研究中心成立20周年表示热烈祝贺！双方通过交流，进一步明确了今后开展合作研究的具体方向和工作内容，同时还探讨了联合培养博士生的工作计划。此外，万德成教授还与Richard Sandberg教授团队成员进行了交流。
万德成教授在访问墨尔本大学期间，还专程拜会了墨尔本大学电子机械与基建工程学院(School of Electrical, Mechanical and Infrastructure Engineering)院长、流体力学专家Jason Monty教授，以及墨尔本大学副校长、流体力学专家Ivan Marusic讲席教授，与他们分别进行了深入交谈，为未来开展学术交流与合作奠定了基础。
附Richard Sandberg教授简介：
Prof. Richard Sandberg is Chair Professor of Computational Mechanics in the Department of Mechanical Engineering at the University of Melbourne, and the Melbourne Energy Institute’s Interim Director. He also leads the program of Power Generation and Transport of the Melbourne Energy Institute. His main interests are in (i) high-fidelity simulation of transitional and turbulent flows to gain physical understanding of flow and noise generation mechanisms, (ii) pursuing novel machine-learning approaches to help assess and improve low-order models that can be employed in an industrial context. He received his PhD in 2004 in Aerospace Engineering at the University of Arizona and prior to joining the University of Melbourne, he was a Professor of Fluid Dynamics and Aeroacoustics in the Aerodynamics and Flight Mechanics research group at the University of Southampton and headed the UK Turbulence Consortium (www.turbulence.ac.uk), coordinating the work packages for compressible flows and flow visualisations and databases. He was awarded a veski innovation fellowship in July 2015 entitled: “Impacting Industry by enabling a step-change in simulation fidelity for flow and noise problems” and has been granted an Australian Research Council Future Fellowship for 2020-2024 to work on integrating high-fidelity simulation and machine-learning based turbulence modelling. Between 2016 and 2019 he was member of the Australian National Computational Merit Allocation Committee. He has coordinated many large-scale high-fidelity turbomachinery simulation projects, with awards from INCITE, ALCC, PRACE and NCMAS. He is an editor for Journal of Turbomachinery, Flow, Turbulence and Combustion, Theoretical and Computational Fluid Dynamics and a member of ASME’s Gas Turbine Technology Group (GTTG) leadership team.