These white papers and technical publications help engineers and scientists working with computational fluid dynamic (CFD), other simulation and test data understand critical issues you are facing in industry today. They provide in-depth reports on specific topics – defining problems and offering solutions. Our goal is to inform you about particular issues and methodologies so that you can make the best decision possible.
Streamlines, particle paths and streaklines provide detailed information about the vector direction and magnitude in localized regions – without all the clutter of many other vector-field visualization methods. This white paper discusses their differences, and how and when to use them.
You need to share the results of your work with key players both inside and outside your organization. This paper discusses output formats, color and layout to help you present your results more effectively in print, online and on screen.
The visualization and analysis of data from many different sources – CFD, other simulation and test data – is complicated by the diversity of formats, units and coordinate systems. This white paper outlines the basic steps for analyzing this kind of heterogeneous data.
CFD is playing an increasingly larger role in simulation-based parametric analysis. This paper discusses the three roles that computational fluid dynamics (CFD) is playing: 1) Prediction and optimization, 2) Sensitivity analysis, and 3) Probabilistic analysis.
The application of parametric CFD analysis to engineering design is broken down into these five stages: 1) Problem definition, 2) Dimensional reduction, 3)Experimental design, 4) Management of CFD simulations, and 5) Metadata analysis. This white paper discusses each stage.
The increase in number of simulation cases used in engineering and scientific analysis has revealed a gap in current post-processing analysis capabilities. This white paper explores what is needed to fill that gap.
Investigating various aspects of wind power generation involves the numerical simulation of the flow around wind turbines and the acoustic field associated with the unsteady fluid behavior. This paper discusses the analysis methods and results obtained by Innovative Technology Applications Company, LLC (ITAC).
Improved Performance of Large Data Visualization
In situ visualization of unsteady CFD simulations is supported by Subzone-load-on-demand (SZL). Performance is analyzed using four unsteady data sets: an unsteady multi-block structured CFD simulation of a wind turbine, an unsteady unstructured-grid hurricane simulation, and synthetic structured and unstructured data.
In this paper, the isosurface for a simulated 1 trillion-cell CFD dataset was visualized using the SZL technology. With traditional visualization technology, this would require a super-computer, but with SZL it was possible on an engineering workstation with 128GB of memory.
The size and number of datasets analyzed by post-processing and visualization tools is growing with Moore’s law. Conversely, the disk-read data transfer rate is only doubling every 36 months and is destined to be the bottleneck for traditional post-processing architectures. This paper discusses a method that eliminates this bottleneck.
The second SZL white paper explains the sub-division of the data set into subzones with 256 cells or nodes allows the node map of finite-element data to be compressed by more than a factor of two. The compressed node maps allow random access for each cell. The resulting file is 37% to 55% smaller than the original data sets and loading is faster.
A Subzone-Based Client-Server Technique for I/O Efficient Analysis and Visualization of Large Remote Data sets
The SZL technique discussed in this paper differs from traditional client-server architectures. This paper discusses the technique used, the speedups in transfer time and the substantial memory reduction compared with traditional client-server techniques.
The subzone-based in situ technique is a compromise between writing the full three-dimensional dataset and traditional in situ visualization techniques. This white paper discusses the technique and its advantages.