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January 30, 2024Open Access

Contribution of JAXA to APC-9 using GPU-accelerated FaSTAR: free-air and in-tunnel RANS calculations for CLmax prediction on the CRM high-lift configuration

Paul Zehner Andrea Sansica Atsushi HASHIMOTO

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Key Points

Assess the effectiveness of GPU-accelerated FaSTAR in predicting CLmax for the CRM high-lift configuration.
Utilized GPU-accelerated FaSTAR for aerodynamic calculations.
Conducted free-air and in-tunnel RANS simulations.
Focused on the CRM high-lift configuration for analysis.
Improved accuracy in CLmax predictions using GPU acceleration.
Demonstrated feasibility of real-time simulations for aerodynamic testing.

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Implication

Workshop evaluates GPU-accelerated predictions of CLmax in high-lift configurations, indicating advancements in aerodynamic simulations.

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Cite This Study

Zehner et al. (2024) studied this question.

synapsesocial.com/papers/69cd7a815652765b073a7b7f https://doi.org/10.20637/0002000236

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Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context:

1Contribution of JAXA to APC-9 using FaSTAR: Free-air and in-tunnel Hybrid RANS/LES calculations for CLmax prediction on the CRM high-lift configurationOriginal Research · 2024
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