Thomas S. Lund

dblp:16/1316 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
computational fluid dynamics
0.011995
Large Eddy Simulation of a Spatially-Developing Boundary Layer · SC 1995
Computational science and engineering › computational fluid dynamics
large eddy simulation
0.011995
Large Eddy Simulation of a Spatially-Developing Boundary Layer · SC 1995
Computational science and engineering › computational fluid dynamics
turbulence simulation
0.011995
Large Eddy Simulation of a Spatially-Developing Boundary Layer · SC 1995

Methods — techniques the papers use, named apart from their topics

large-eddy simulation · 0.0dynamic eddy viscosity model · 0.0
YearPublicationVenuePosition
1995 Large Eddy Simulation of a Spatially-Developing Boundary Layer
abstract
A method for generation of a three-dimensional, time-dependent turbulent inflow condition for simulation of spatially-developing boundary layers is described. Assuming self-preservation of the boundary layer, a quasi-homogeneous coordinate is defined along which streamwise inhomogeneity is minimized (Spalart 1988). Using this quasi-homogeneous coordinate and decomposition of the velocity into a mean and periodic part, the velocity field at a location near the exit boundary of the computational domain is re-introduced at the in- flow boundary at each time step. The method was tested using large eddy simulations of a flat-plate boundary layer for momentum thickness Reynolds numbers ranging from 1470 to 1700. Subgrid scale stresses were modeled using the dynamic eddy viscosity model of Germano et al. (1991). Simulation results demonstrate that the essential features of spatially-developing turbulent boundary layers are reproduced using the present approach without the need for a prolonged and computationally expensive laminar-turbulent transition region. Boundary layer properties such as skin friction and shape factor as well as mean velocity profiles and turbulence intensities are in good agreement with experimental measurements and results from direct numerical simulation. Application of the method for calculation of spatially-developing complex turbulent boundary layers is also described.
Kyle D. Squires, Thomas S. Lund
SC3