VRL

Research

Stress Tensor Exploration for Turbulent Combustion Calculations

Themes People Videos Talks Sponsors Publications Bibliography

Status: Active

Simulation and modeling of turbulent flow, and of turbulent reacting flowin particular, involves solving for and analyzing time-dependent and spatially dense tensor quantities, such as turbulent stress tensors. Visual exploration of these tensor quantities can effectively steer the computational modeling of combustion systems. The project builds a visual analysis tool to be utilized in debugging, benchmarking, and verification of models and solutions in turbulent combustion.

Themes

Visual Analysis in Science and Engineering

People

Md. Abedul Haque
Timothy Luciani
Liz Marai
Adrian Maries
Shiwangi Singh

Sponsors

NSF CBET-1250171 (CDS&E: Data Management and Visualization in Petascale Turbulent Combustion Simulation)

NSF CAREER IIS-0952720 *old* (Tracking, Computational Modeling and Interdisciplinary Edu)

NSF CAREER IIS-1541277 *new* (Tracking, Computational Modeling and Interdisciplinary Edu)

Videos

Stress Tensors Visualization in Computational Turbulent Combustion: An Application
Stress Tensor Visualization in Turbulent Combustion
Tensor Visualization in Computational Turbulent Combustion: A Case Study
Visualization of Evolution of Shock in a 3D Time-Varying Dataset
Visualization of Shock in a 3D Time-Varying Dataset

 



Talks

 



 

Publications

2017

M. Monfort, T. Luciani, J. Komperda, B. Ziebart, F. Mashayek, G.E. Marai, "A Deep Learning Approach to Identifying Shock Locations in Turbulent Combustion Tensor Fields", Mathematics and Visualization Series, Springer, Vol. 0(0), pp. 1--15, 2017. In Press. (pdf) (bibtex: Monfort-2017-ADL).

2016

G.E. Marai, T. Luciani, A. Maries, L. Yilmaz, M. Nik, "Visual Descriptors for Dense Tensor Fields in Computational Turbulent Combustion: A Case Study", Journal of Imaging Science and Technology, Vol. 1(2), pp. 1--11, Feb 2016. (pdf) (bibtex: Marai-2016-VDF).

G.E. Marai, T. Luciani, A. Maries, L. Yilmaz, M. Nik, "Visual Descriptors for Dense Tensor Fields in Computational Turbulent Combustion: A Case Study", Conference on Visualization and Data Analysis 2016, Part of IS&T Electronic Imaging 2016, pp. 1--12, Feb 2016. (pdf) (bibtex: Marai-2016-VDF).

2015

A. Maries, T. Luciani, P.H. Pisciuneri, M.B. Nik, S.L. Yilmaz, P. Givi, G.E. Marai, "A Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields", Visualization and Processing of Higher Order Descriptors for Multi-Valued Data. Editors: Ingrid Hotz and Thomas Schultz, Springer, pp. 1--18, 2015. In Press. (pdf) (bibtex: Maries-2015-ACM).

2014

M. Hlawitschka, I. Hotz, A. Kratz, G.E. Marai, R. Moreno, G. Scheuermann, M. Stommel, A. Wiebel, E. Zhang, "Top Challenges in the Visualization of Engineering Tensor Fields", Visualization and Processing of Tensors and Higher-Order Descriptors for Multi-field Data, C.F. Westin, B. Burgeth and A. Vilanova (editors), Springer, pp. 1--13, 2014. (pdf) (bibtex: Hlawitschka-2014-TCI).

2013


T. Luciani, A. Maries, M. Nik, S.L. Yilmaz, G.E. Marai, "Visualization of Tensor Quantities Used in Computational Turbulent Combustion", 66th Annual Meeting of the APS Division of Fluid Dynamics, pp. 1--1, 2013. (pdf) (bibtex: Luciani-2013-VOT).

2012


T. Luciani, A. Maries, H. Tran, M. Nik, S.L. Yilmaz, G.E. Marai, "A Novel Method for Tracking Tensor-based Regions of Interest in Large-Scale, Spatially-Dense Turbulent Combustion Data", IEEE Visualization 2012 Poster Abstracts with System Demonstration, pp. 1--2, Oct 2012. In Press. (pdf) (bibtex: Luciani-2012-ANM).
A. Maries, Md. A. Haque, S. L. Yilmaz, M. B. Nik, G.E. Marai, "Interactive Exploration of Stress Tensors Used in Computational Turbulent Combustion", New Developments in the Visualization and Processing of Tensor Fields, D. Laidlaw and A. Villanova (editors), Springer, pp. 137--156, 2012. (pdf) (bibtex: Maries-2012-IEO).

2010


Md. A. Haque, A. Maries, S.L. Yilmaz, M.B. Nik, G.E. Marai, "Tensor Visualization in Computational Turbulent Combustion: A Case Study", IEEE Visualization 2010, Poster Abstracts with System Demonstration, pp. 1--2, 2010. (pdf) (bibtex: Haque-2010-TVI).
Top