2010
DOI: 10.1016/j.jcp.2009.09.020
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High-order sonic boom modeling based on adaptive methods

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Cited by 156 publications
(119 citation statements)
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“…It is based on Wolf [10], our in-house flow solver developped in the Gamma3 team at Inria. The advection equation is the following:…”
Section: Advection Solvermentioning
confidence: 99%
“…It is based on Wolf [10], our in-house flow solver developped in the Gamma3 team at Inria. The advection equation is the following:…”
Section: Advection Solvermentioning
confidence: 99%
“…Considering that the near-¦eld data have been extracted very close to the source compared to that is presented in the literature [8], a study of convergence in r/L should be performed to validate the pressure levels. The problems of numerical resolution of both matching methods on the downstream part of the matched signal must also be tackled to improve the robustness and the accuracy of the global sonic boom prediction process.…”
Section: Configuration Aerodynamics Sonic Boom and Aerodynamic Modelmentioning
confidence: 99%
“…Even though attempts to perform CFD from the body to the ground with both evolutive schemes and equation formulations, as proposed by Kandil et al [7] or hybrid approaches more recently developed by Alauzet and Loseille performing calculations up to the far-¦eld before ray tracing propagation [8], the three-layer approach remains very competitive. Page and Plotkin proposed an e©cient three-layer approach [9] based on CFD computations for the near-¦eld, a near-to far-¦eld matching through multipole decomposition of the source of disturbances and an acoustic propagation through atmosphere.…”
Section: Introductionmentioning
confidence: 99%
“…[4][5][6][7] Uniformly reducing the errors associated with all local-error sources of the flow may not be optimal from an engineering context, where calculating an output functional may be of greater concern. An alternative method is to estimate the error in the calculation of a specified engineering output functional.…”
Section: Introductionmentioning
confidence: 99%
“…A constant-complexity scaling 7 can optionally be applied to M to allow the user to directly specify the size of the adapted grid. This size can be set to obtain an optimal grid that is computable with available resources.…”
mentioning
confidence: 99%