Multidimensional Aerothermodynamic Analysis For Planetary Probes using OLAP Cubes

Subrahmanyam, Prabhakar

doi:10.2514/6.2006-6274

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…OLAP Cubes. An OLAP cube has been constructed for multidimensional trajectory analysis [5]. A cube is a store of multidimensional data; it is defined by dimensions and measures.…”

Section: Olap Database Cubes and Multidimensional Analysismentioning

confidence: 99%

“…Sparta trajectory engine was designed with this mind; hence the trajectory calculations are completely autonomous and driven from a GUI. The trajectory engine is hooked to an OLAP database for multidimensional analysis capability [5]. OLAP is an Online Analytical Processing database that has a comprehensive list of atmospheric entry probes and their vehicle dimensions, trajectory data, aerothermal data, and material properties like carbon-, silicon-, and carbonphenolic-based ablators.…”

Section: Trajectory Datamentioning

confidence: 99%

“…The heating rate forq conv is in W/cm 2 if the velocity is given in m/s and the density in kg/m 3 . The maximum heating rate for an entry profile is evaluated at the stagnation point from (5) and one can see that the bigger the nose radius, the lower the heat rates: the total heat load of the mission is derived from the integration of the heat rates over the heat peak during entry. Radiative heat transfer is computed using the Tauber-Sutton Radiative heating correlation for Earth and Mars [16] aṡ…”

Section: Fay-riddell Sutton-grave and Mike Tauber Heatingmentioning

confidence: 99%

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High‐Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

Subrahmanyam¹

2009

International Journal of Aerospace Engineering

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This publication presents the architecture integration and implementation of various modules in Sparta framework. Sparta is a trajectory engine that is hooked to an Online Analytical Processing (OLAP) database for Multi-dimensional analysis capability. OLAP is an Online Analytical Processing database that has a comprehensive list of atmospheric entry probes and their vehicle dimensions, trajectory data, aero-thermal data and material properties like Carbon, Silicon and Carbon-Phenolic based Ablators. An approach is presented for dynamic TPS design. OLAP has the capability to run in one simulation several different trajectory conditions and the output is stored back into the database and can be queried for appropriate trajectory type. An OLAP simulation can be setup by spawning individual threads to run for three types of trajectory: Nominal, Undershoot and Overshoot trajectory. Sparta graphical user interface provides capabilities to choose from a list of flight vehicles or enter trajectory and geometry information of a vehicle in design. DOTNET framework acts as a middleware layer between the trajectory engine and the user interface and also between the web user interface and the OLAP database. Trajectory output can be obtained in TecPlot format, Excel output or in a KML (Keyhole Markup Language) format. Framework employs an API (application programming interface) to convert trajectory data into a formatted KML file that is used by Google Earth for simulating Earth-entry fly-by visualizations.

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“…OLAP Cubes. An OLAP cube has been constructed for multidimensional trajectory analysis [5]. A cube is a store of multidimensional data; it is defined by dimensions and measures.…”

Section: Olap Database Cubes and Multidimensional Analysismentioning

confidence: 99%

Section: Trajectory Datamentioning

confidence: 99%

Section: Fay-riddell Sutton-grave and Mike Tauber Heatingmentioning

confidence: 99%

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High‐Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

Subrahmanyam¹

2009

International Journal of Aerospace Engineering

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“…Sparta trajectory engine was designed with this in mind; hence the trajectory calculations are completely autonomous and driven from a GUI. The trajectory engine is hooked to an OLAP database for multi-dimensional analysis capability (Subrahmanyam, 2006). OLAP is an Online Analytical Processing database that has a comprehensive list of atmospheric entry probes and their vehicle dimensions, trajectory data, aero-thermal data and material properties like carbon, silicon and carbon-phenolic based ablators.…”

Section: Sparta Against Post and Trajoptmentioning

confidence: 99%

Development of an Interactive Hypersonic Flow Solver Framework for Aerothermodynamic Analysis

Subrahmanyam

2008

Engineering Applications of Computational Fluid Mechanics

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Sparta is a three-dimensional finite volume compressible Java based flow solver on multiple block structured grids. The flow solver is graphical user interface driven and platform independent as well. Finite-rate reaction kinetics, thermal and chemical non-equilibrium and high temperature transport coefficients are all developed and incorporated into the solver. Zero, one and two equation turbulence models have been implemented in the solver for turbulence modeling. The flow domain is discretized by a structured grid and a finite-volume approach is used to discretize the conservation equations. One of several schemes can be chosen from the user interface to calculate inviscid fluxes across cell faces while central differences schemes are used to calculate the viscous fluxes. The CFD solver includes a geometry engine to generate surface and volume grids, a trajectory engine to generate trajectory data given the appropriate atmospheric models, an aerodynamic flow solver to calculate the aerodynamic forces and moments and finally hooked to the Navier-Stokes engine. Probe models can also be selected automatically from the graphical user interface and the database. The database comprises vehicle dimensions, trajectory data, and aero-thermal, Thermal Protection Systems data for many different ballistic entry vehicles. Material properties for carbon and silicon based ablators have been obtained and can be accessed from the database. Comparative data analysis capability is achieved through a Relational Database Management System. Atmospheric models can be selected from the graphical user interface so that the multi-species to be solved are automatically populated before the solver is invoked. Sparta has been integrated to a planetary probe database and a trajectory code to study trajectory analysis, aerodynamic heating and flow-field analysis. The purpose of this research is twofold: to investigate a pure Java based multi-threaded CFD solver and to implement a semi-automatic and interactive solver for aerothermodynamics such that grids can be generated automatically given the geometry of the vehicles, trajectory data can be generated given the atmospheric model and TPS material from the graphical interface for the generation of flow field information for atmospheric entry vehicles. Sparta accepts hooks from the trajectory so that inputs for the flow solver can come from the trajectory output making the solver trajectory driven. This paper addresses the CFD development, implementation and capabilities of a hypersonic flow solver Sparta.

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Multidimensional Aerothermodynamic Analysis For Planetary Probes using OLAP Cubes

Cited by 2 publications

References 5 publications

High‐Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

High‐Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

Development of an Interactive Hypersonic Flow Solver Framework for Aerothermodynamic Analysis

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