Spatiotemporal analysis of laboratory-generated turbulence
Pages 405 - 408
Abstract
The study of stratified and turbulent shear flows is of great societal interest. In addition to its visually striking nature, such flows are ubiquitous and understanding them is vital for understanding a number of phenomena, including but not limited to, improved comprehension of heat transfer in the oceans and atmosphere. Such knowledge is typically obtained through costly and careful observation of the natural environment. However, careful experiments can accurately model facets of the environment within a laboratory, allowing for the rapid generation of high-quality data and insight into the governing physics. One such recent experiment is the stratified inclined duct (SID) [7, 8, 9, 10, 11, 12, 13, 14, 16]. A study is underway to leverage the work of the SID to address some of the costs of a lab, that is, reliable and real-time annotation of experimental data, with the fundamental goal of developing an algorithm to predict mixing events and turbulence in generic stratified experiments. To do so, HPC resources are utilized to analyze 349 GB of shared SID shadowgraph data. The initial and highly visual stages of this work are the subject of this visualization, as this process is representative of how academic research projects that are supported by modern HPC environments.
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- Spatiotemporal analysis of laboratory-generated turbulence
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Published In
July 2023
519 pages
ISBN:9781450399852
DOI:10.1145/3569951
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Published: 10 September 2023
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PEARC '23: Practice and Experience in Advanced Research Computing
July 23 - 27, 2023
OR, Portland, USA
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