Improved Computations for Convection Dominated Turbulent Flow Problems Using the Fractional Step Method

使用分数步法改进对流主导的湍流问题的计算

• 批准号: 8718436
• 负责人: Joannes Westerink
• 金额: $ 6万
• 依托单位: Texas A&M Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-09-01 至 1990-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8718436&HistoricalAwards=false
• 关键词: Improved; Computations; Convection; Dominated; Turbulent

The computation of transport problems are especially troublesome when the solution field contains steep gradients such as those of temperature or concentration. When solving such problems associated with convection either wiggly or unstable, solutions generally result when the standard finite difference of finite element methods are applied. There are schemes that add artificial or numerical diffusion to the computation to dampen numerical instabilities. However, such non-physical diffusion often serves to confuse the real damping that exists in the problem. The objective of this Engineering Initiation project is to expand on the recent developments in higher order schemes which are non-diffusive. In particular, the fractional step method will be used to treat a class of convective dominated problems. The benefits of this procedure includes accuracy and a relative increase in computational scheme will be possible. The institutional support is adequate and the P.I. has extensive experience on the NSF-JVNC supercomputer. I strongly recommend support.

当解决方案场含有陡峭的梯度（例如温度或浓度）时，运输问题的计算尤其麻烦。 当解决与对流或不稳定相关的问题时，当应用有限元方法的标准有限差异时，解决方案通常会产生。 有一些方案将人工或数值扩散添加到计算中，以减弱数值不稳定性。 但是，这种非物理扩散通常会混淆问题中存在的真正阻尼。 该工程启动项目的目的是扩大非排除较高方案的最新发展。 特别是，分数步骤方法将用于治疗一类对流主导的问题。 此过程的好处包括准确性，计算方案的相对增加。 机构支持足够，P.I.在NSF-JVNC超级计算机上拥有丰富的经验。 我强烈建议支持。