EPISODE: an Extract Plug-In Scalable Order-reduced Data Environment

ABSTRACT: JMSI Inc (DBA Intelligent Light) proposes to develop EPISODE - a new large scale data management tool that enables an engineer to more readily extract knowledge and insight from their large scale physics based simulations and experimental data. The Extract Plug-In Scalable reduced Order Data Environment, EPISODE, shall consist of a highly scalable data Extract Plug-In Components Toolkit (EPIC Toolkit) for use with any CFD solver or with experimental data. EPIC shall consist of standard extracts such as primitive variables on grid surfaces but it also shall include Reduced Order Models (ROM) such as Proper Orthogonal Decomposition (POD), Fast-Fourier Transforms (FFT) and Wavelet Analysis. The user shall be able to utilize the EPIC tools in their solver, interact with it through the EPISODE User Interface and dynamically change the extract information. With a simple"click", an EPIC enabled solver would output data extracts with a user specified number of eigen modes; all without stopping the solver or manually managing datafiles. The EPISODE User Interface shall be based upon JMSI"s well known FieldView post-processing software and shall allow the engineer to explore the design space predicted from unsteady simulations using a neural network tool known as"Self Organizing Maps". BENEFIT: EPISODE and the EPIC Toolkit allow the user to explore the design space predicted from unsteady CFD and experimental data. It can be used to perform design studies utilizing unsteady simulations and experiments for a large range of design issues such as increased reliability and efficiency of turbomachinery and internal combustion engines, improved transport aircraft handling qualities in landing configurations and reduction of fluid-structures acoustic unsteady loads in nuclear power plants.