
doi: 10.1155/2012/783101
handle: 2263/19128
The numerical simulation of aeroacoustic phenomena requires high‐order accurate numerical schemes with low dispersion and low dissipation errors. A technique has recently been devised in a Computational Fluid Dynamics framework which enables optimal parameters to be chosen so as to better control the grade and balance of dispersion and dissipation in numerical schemes (Appadu and Dauhoo, 2011; Appadu, 2012a; Appadu, 2012b; Appadu, 2012c). This technique has been baptised as the Minimized Integrated Exponential Error for Low Dispersion and Low Dissipation (MIEELDLD) and has successfully been applied to numerical schemes discretising the 1‐D, 2‐D, and 3‐D advection equations. In this paper, we extend the technique of MIEELDLD to the field of computational aeroacoustics and have been able to construct high‐order methods with Low Dispersion and Low Dissipation properties which approximate the 1‐D linear advection equation. Modifications to the spatial discretization schemes designed by Tam and Webb (1993), Lockard et al. (1995), Zingg et al. (1996), Zhuang and Chen (2002), and Bogey and Bailly (2004) have been obtained, and also a modification to the temporal scheme developed by Tam et al. (1993) has been obtained. These novel methods obtained using MIEELDLD have in general better dispersive properties as compared to the existing optimised methods.
Miinimized Integrated Exponential Error for Low Dispersion and Low Dissipation (MIEELDLD), Other numerical methods (fluid mechanics), QA1-939, Hydro- and aero-acoustics, Computational aeroacoustics, Numerical simulation, Aeroacoustics -- Computer simulation, Mathematics
Miinimized Integrated Exponential Error for Low Dispersion and Low Dissipation (MIEELDLD), Other numerical methods (fluid mechanics), QA1-939, Hydro- and aero-acoustics, Computational aeroacoustics, Numerical simulation, Aeroacoustics -- Computer simulation, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
