Aerodynamic Prediction of CRM-HL Using Hierarchical Cartesian Grid and Immersed Boundary Method

雅也 船田; 太郎 今村; 圭祐 菅谷; Masaya Funada; Taro Imamura; Keisuke Sugaya

doi:10.20637/00049001

December 23, 2022

Aerodynamic Prediction of CRM-HL Using Hierarchical Cartesian Grid and Immersed Boundary Method

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Key Points

This research aims to improve the prediction accuracy of aerodynamic characteristics for the CRM-HL model using advanced computational methods.
Utilized the Hierarchical Cartesian Grid approach for aerodynamic simulations.
Employed the Immersed Boundary Method to accurately model complex geometries.
Participated in the Eighth Aerodynamics Prediction Challenge workshop for collaborative evaluation.
Demonstrated improved aerodynamic predictions for the CRM-HL model compared to previous methods.
Showed significant advancements in computational efficiency and accuracy.

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Implication

Workshop explores aerodynamic prediction of CRM-HL using advanced computational methods, indicating significant findings.

Abstract

Eighth Aerodynamics Prediction Challenge workshop (APC-8) (June 29, 2022. Aiina, Iwate Prefectural Information Exchange Center) , Morioka-shi, Iwate, Japan

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船田 et al. (2022) studied this question.

synapsesocial.com/papers/69cd7b575652765b073a94f6 https://doi.org/10.20637/00049001

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Aerodynamic Prediction of CRM-HL Using Hierarchical Cartesian Grid and Immersed Boundary Method

Key Points

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Abstract

Discussion

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Aerodynamic Prediction of CRM-HL Using Hierarchical Cartesian Grid and Immersed Boundary Method

Key Points

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Implication

Abstract

Discussion

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