Computational Fluid Dynamics 2006 2009
DOI: 10.1007/978-3-540-92779-2_59
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A Residual estimator based adaptation strategy for compressible flows

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Cited by 6 publications
(6 citation statements)
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“…差识别 [27] 、后验误差估计 [28] 、基于残差判据 [29] 、基于多尺度判据 [30] 等。选择梯度准则 [31,32] 作为网格自适应准则,并根据梯度准则设置了梯度阈值,梯度阈值通过梯度值分布趋势 确定,当网格梯度值达到或超过梯度阈值后,将提高网格分辨率。利用 ArcGIS 的 TIN 三 角网格创建工具 [33,34] 对需要调整的网格区域进行加密重构。网格自适应调整后,首先针对 单一一般限制指标划分等级,再综合各指标结果生成均质区域,最后叠加强限制指标, 形成最终均质区域。一般限制指标均质区域通过聚类形成,选择改进的等间距法 [35,36]…”
Section: 基于自适应三角网的海洋资源资产清查unclassified
“…差识别 [27] 、后验误差估计 [28] 、基于残差判据 [29] 、基于多尺度判据 [30] 等。选择梯度准则 [31,32] 作为网格自适应准则,并根据梯度准则设置了梯度阈值,梯度阈值通过梯度值分布趋势 确定,当网格梯度值达到或超过梯度阈值后,将提高网格分辨率。利用 ArcGIS 的 TIN 三 角网格创建工具 [33,34] 对需要调整的网格区域进行加密重构。网格自适应调整后,首先针对 单一一般限制指标划分等级,再综合各指标结果生成均质区域,最后叠加强限制指标, 形成最终均质区域。一般限制指标均质区域通过聚类形成,选择改进的等间距法 [35,36]…”
Section: 基于自适应三角网的海洋资源资产清查unclassified
“…The compressible Navier-Stokes equation in the conservative form can be expressed as The refinement criterion can be flow feature-based, and this kind of error indicator tries to identify the location of high gradient. The residual-based strategy, such as the R-parameter [18,19] proposed by Ganesh et al, can be used to devise a suitable criterion. Also, the sensitivity approach can be used to control the adaption process [20].…”
Section: Governing Equationsmentioning
confidence: 99%
“…This approach, which is simple and effective in some Computational Fluid Dynamics (CFD) applications, requires trial and error to determine the appropriate flow features and thus fails to provide a general and robust error estimate . Alternatively, the adaptation procedure can be conducted using residual‐based approaches in which the truncation error of the fluid flow quantities constructs the adaptation criteria . Moreover, output‐based adaptation criteria based on solutions to the so‐called adjoint (dual) problem, which is derived for an output of interest, have become very mature in recent years .…”
Section: Introductionmentioning
confidence: 99%
“…17,18 Alternatively, the adaptation procedure can be conducted using residual-based approaches in which the truncation error of the fluid flow quantities constructs the adaptation criteria. [19][20][21] Moreover, output-based adaptation criteria based on solutions to the so-called adjoint (dual) problem, which is derived for an output of interest, have become very mature in recent years. 22 In this type of error estimates, the solution of the adjoint problem is multiplied by the local contribution of the truncation error estimate to provide information about the interaction of the error in different components of the solution 23 and subsequently those locations that require more resolution (typically h-refinement) for a more accurate estimate of the output quantity.…”
Section: Introductionmentioning
confidence: 99%