Johns Hopkins Turbulence Databases

Publications and abstracts:

      ●  Yi Li, Eric Perlman, Minping Wan, Yunke Yang, Charles Meneveau, Randal Burns, Shiyi Chen, Alexander Szalay, and Gregory Eyink. A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence. Journal of Turbulence, 9:N31, 2008. [ DOI | arXiv ]
      ●  Huidan Yu, Kalin Kanov, Eric Perlman, Jason Graham, Edo Frederix, Randal Burns, Alexander Szalay, Gregory Eyink, and Charles Meneveau. Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database. Journal of Turbulence, 13:N12, 2012. [ DOI ]
      ●  Eric Perlman, Randal Burns, Yi Li, and Charles Meneveau. Data exploration of turbulence simulations using a database cluster. In Proceedings of the 2007 ACM/IEEE conference on Supercomputing - SC '07, page 1, New York, New York, USA, 2007. ACM Press. [ DOI ]
      ●  J. Graham, K. Kanov, X. I. A. Yang, M. Lee, N. Malaya, C. C. Lalescu, R. Burns, G. Eyink, A. Szalay, R. D. Moser, and C. Meneveau. A Web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES. Journal of Turbulence, 17(2):181-215, 2016. [ DOI ]
      ●  Xiaodan Wang, Eric Perlman, Randal Burns, Tanu Malik, Tamas Budav├íri, Charles Meneveau, and Alexander Szalay. JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations. In 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, pages 1-11. IEEE, 2010. [ DOI ]
      ●  Kalin Kanov, Eric Perlman, Randal Burns, Yanif Ahmad, and Alexander Szalay. I/O streaming evaluation of batch queries for data-intensive computational turbulence. In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '11, page 1, New York, New York, USA, 2011. ACM Press. [ DOI ]
      ●  Kalin Kanov, Randal Burns, Greg Eyink, Charles Meneveau, and Alexander Szalay. Data-intensive spatial filtering in large numerical simulation datasets. In 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pages 1-9. IEEE, 2012. [ DOI ]
      ●  Zhao Wu, Jin Lee, Charles Meneveau, and Tamer Zaki. Application of a self-organizing map to identify the turbulent-boundary-layer interface in a transitional flow. Physical Review Fluids, 4(2):023902, 2019. [ DOI ]

Sample publications of Turbulence Database usage:

Disclaimer: While many efforts have been made to ensure that these data are accurate and reliable within the limits of the current state of the art, neither JHU nor any other party involved in creating, producing or delivering the website shall be liable for any damages arising out of users' access to, or use of, the website or web services. Users use the website and web services at their own risk. JHU does not warrant that the functional aspects of the website will be uninterrupted or error free, and may make changes to the site without notice.

Last update: 9/11/2019 12:10:10 PM