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Application of Exactly Linearized Error Transport Equations to Sonic Boom Prediction Workshop
Joseph M Derlaga1, Michael A Park1, Sriram K Rallabhandi1
1NASA Langley Research Center, Hampton, Virginia, 23681.
Quantifying computational errors is crucial for accurate sonic boom prediction. Linearized error transport equations (ETE) with complex-step methods offer a way to estimate these discretization errors in computational fluid dynamics (CFD).
Area of Science:
- Aerospace Engineering
- Computational Science
- Acoustics
Background:
- Computational Fluid Dynamics (CFD) workshops highlight challenges in predicting phenomena like sonic booms.
- Discrepancies between simulated and experimental results stem from various errors, necessitating error quantification for reliable decision-making.
Purpose of the Study:
- To quantify errors in CFD simulations, specifically focusing on discretization errors.
- To implement and demonstrate a method for estimating errors in complex multidisciplinary analyses, including sonic boom propagation.
Main Methods:
- Linearized error transport equations (ETE) were combined with truncation error estimation.
- A complex-step method was employed for exact linearization, minimizing modifications to existing CFD and multidisciplinary analysis codes.
- Uniformly refined grids from the 2nd AIAA Sonic Boom Prediction Workshop were utilized.
Main Results:
- The study demonstrates the utility of ETE for error quantification in multidisciplinary analysis.
- A direct link was established between estimated discretization error and flow features (resolved or under-resolved).
- The method proved effective in analyzing the atmospheric propagation of sonic boom signatures.
Conclusions:
- The linearized error transport equations (ETE) provide a valuable tool for quantifying discretization errors in CFD.
- This approach facilitates more reliable predictions in complex scenarios like sonic boom analysis.
- The method's integration with complex-step linearization ensures broad applicability with minimal code changes.
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