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Charles Meneveau, the Louis M. Sardella Professor in Mechanical Engineering and an associate director of the Institute for Data Intensive Engineering and Science at the Johns Hopkins University, focuses his research on understanding and modeling hydrodynamic turbulence, and on complexity in fluid mechanics in general. He combines computational ...
Johns Hopkins public database with direct numerical simulation data TurBase public database with experimental data from European High Performance Infrastructures in Turbulence (EuHIT) Authority control databases : National
Turbulence remains the major unsolved domain of fluid mechanics. Theodorsen identified the main turbulence-creating terms in the equations of motion as (q x curl q . curl curl q); he showed that two-dimensional turbulence cannot exist; that vortex lines stretching and bending is the important mechanism and ingredient of turbulence.
DermAtlas is an open-access website devoted to dermatology that is hosted by Johns Hopkins University's Bernard A. Cohen and Christoph U. Lehmann. Its goal is to build a large-high-quality dermatologic atlas, a database of images of skin conditions, and it encourages its users to submit their dermatology images and links for inclusion.
Project MUSE, Johns Hopkins University Press: SciELO: Multidisciplinary: 573,525 Database and a model for cooperative electronic publishing in developing countries (mostly South America and Africa). Indexes >1700 journals. Free FAPESP, CNPq and BIREME: ScienceDirect: Science including Medicine: 18,000,000
Joseph Katz [1] is an Israel-born American fluid dynamicist, known for his work on experimental fluid mechanics, cavitation phenomena and multiphase flow, turbulence, turbomachinery flows and oceanography flows, flow-induced vibrations and noise, and development of optical flow diagnostics techniques, including Particle Image Velocimetry (PIV) and Holographic Particle Image Velocimetry (HPIV).
The model attempts to predict turbulence by two partial differential equations for two variables, k and ω, with the first variable being the turbulence kinetic energy (k) while the second (ω) is the specific rate of dissipation (of the turbulence kinetic energy k into internal thermal energy). SST (Menter’s Shear Stress Transport)
Computational fluid dynamics and hydrodynamic turbulence research generate massive data sets. The Johns Hopkins Turbulence Databases contains over 350 terabytes of spatiotemporal fields from Direct Numerical simulations of various turbulent flows. Such data have been difficult to share using traditional methods such as downloading flat ...