Specialized CFD Grid Generation Methods for Near-Field Sonic Boom Prediction

Park, Michael A.; Campbell, Richard L.; Elmiligui, Alaa A.; Cliff, Susan E.; Nayani, Sudheer N.

doi:10.2514/6.2014-0115

Cited by 39 publications

(18 citation statements)

References 46 publications

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“…The provided unstructured mixed-element and tetrahedral-only grids for the AXIE, C25F, and C25D were created with the method of Park et al [66]. The JWB grids used the HeldenMesh tool.…”

Section: Required Gridsmentioning

confidence: 99%

“…Care was taken to ensure that the relative grid spacing distribution remained as similar as possible for the unstructured family of grids. The number of nodes and elements approximately doubled, and a characteristic grid spacing decreased by the cube root of one half between successive grids in the series [66]. Baseline grid spacing recommendations are provided for the C25F and C25P in Appendix A: C25D and C25F Grid Generation Guidelines.…”

Section: Required Gridsmentioning

confidence: 99%

“…Appendix A: C25D and C25F Grid Generation Guidelines See Park et al [66] for a survey of available techniques and the process used for SBPW1 and SBPW2. All lengths are in meters.…”

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confidence: 99%

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Nearfield Summary and Statistical Analysis of the Second AIAA Sonic Boom Prediction Workshop

Park

Nemec

2019

Journal of Aircraft

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A summary is provided for the Second AIAA Sonic Boom Workshop held 8-9 January 2017 in conjunction with AIAA SciTech 2017. The workshop used three required models of increasing complexity: an axisymmetric body, a wing body, and a complete configuration with flow-through nacelle. An optional complete configuration with propulsion boundary conditions is also provided. These models are designed with similar nearfield signatures to isolate geometry and shock/expansion interaction effects. Eleven international participant groups submitted nearfield signatures with forces, pitching moment, and iterative convergence norms. Statistics and grid convergence of these nearfield signatures are presented. These submissions are propagated to the ground, and noise levels are computed. This allows the grid convergence and the statistical distribution of a noise level to be computed. While progress is documented since the first workshop, improvement to the analysis methods for a possible subsequent workshop are provided. The complete configuration with flow-through nacelle showed the most dramatic improvement between the two workshops. The current workshop cases are more relevant to vehicles with lower loudness and have the potential for lower annoyance than the first workshop cases. The models for this workshop with quieter ground noise levels than the first workshop exposed weaknesses in analysis, particularly in convective discretization. * Research Scientist, Computational AeroSciences Branch, Mike.Park@NASA.gov, AIAA Senior Member. † Aerospace Engineer, Computational Aerosciences Branch, Marian.Nemec@NASA.gov, AIAA Senior Member.

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“…The provided unstructured mixed-element and tetrahedral-only grids for the AXIE, C25F, and C25D were created with the method of Park et al [66]. The JWB grids used the HeldenMesh tool.…”

Section: Required Gridsmentioning

confidence: 99%

Section: Required Gridsmentioning

confidence: 99%

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Nearfield Summary and Statistical Analysis of the Second AIAA Sonic Boom Prediction Workshop

Park

Nemec

2019

Journal of Aircraft

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“…A detailed description can be found in Ref. 31 . In present work, Advancing-Front method was used to generate the volume mesh of the inner cylinder wall and Inflate Generation method used to provide the aligned anisotropic cells for all tested configurations.…”

Section: B Mesh Strategymentioning

confidence: 99%

Near Field Sonic Boom Analysis with HUNS3D Solver

Wang

Ren

et al. 2017

55th AIAA Aerospace Sciences Meeting

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Accurate analysis of sonic boom pressure signature using Computational Fluid Dynamics (CFD) is still a challenging task. In this paper, four benchmark cases including two axisymmetric body, a simple delta wing body and a full configuration includes fuselage, wing, tail, flow-through nacelles, and blade wing were computed with a Reynold-averaged Navier-Stokes (RANS) based flow solver to predicted the near field sonic boom signature. The computed results from CFD agree well with the measured data in wind tunnel experiment. The effects of geometry equivalent radius, grid size, turbulence model and spatial discretization schemes are investigated and discussed. I.

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“…1. Park et al 12 reviews specialized grid methods that have been developed to calculate near-field pressure waveforms for sonic boom analysis. These methods have been shown to be accurate for simple configurations but can introduce an unacceptable level of variation for more complex and realistic vehicles, 13 especially as the corresponding sonic boom loudness metrics get lower.…”

Section: Introductionmentioning

confidence: 99%

Adjoint-Based Mesh Adaptation for the Sonic Boom Signature Loudness

Rallabhandi

Park

2017

35th AIAA Applied Aerodynamics Conference

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The mesh adaptation functionality of FUN3D is utilized to obtain a mesh optimized to calculate sonic boom ground signature loudness. During this process, the coupling between the discrete-adjoints of the computational fluid dynamics tool FUN3D and the atmospheric propagation tool sBOOM is exploited to form the error estimate. This new mesh adaptation methodology will allow generation of suitable meshes adapted to reduce the estimated errors in the ground loudness, which is an optimization metric employed in supersonic aircraft design. This new output-based adaptation could allow new insights into meshing for sonic boom analysis and design, and complements existing output-based adaptation techniques such as adaptation to reduce estimated errors in off-body pressure functional. This effort could also have implications for other coupled multidisciplinary adjoint capabilities (e.g., aeroelasticity) as well as inclusion of propagation specific parameters such as prevailing winds or non-standard atmospheric conditions. Results are discussed in the context of existing methods and appropriate conclusions are drawn as to the efficacy and efficiency of the developed capability.

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Specialized CFD Grid Generation Methods for Near-Field Sonic Boom Prediction

Cited by 39 publications

References 46 publications

Nearfield Summary and Statistical Analysis of the Second AIAA Sonic Boom Prediction Workshop

Nearfield Summary and Statistical Analysis of the Second AIAA Sonic Boom Prediction Workshop

Near Field Sonic Boom Analysis with HUNS3D Solver

Adjoint-Based Mesh Adaptation for the Sonic Boom Signature Loudness

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