A higher-order method for finding vortex core lines

Röth,; Peikert,

doi:10.1109/visual.1998.745296

Cited by 105 publications

(80 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These newer schemes also detect the presence of highly curved 'hairpin' vortices that can be missed by the current algorithm (Roth and Peikert 1998). Future work may include using this approach on our current and future numerical simulations.…”

Section: Discussionmentioning

confidence: 95%

Vortex detection in a simulated supercell thunderstorm

Orf

Semeraro

Wilhelmson

2007

Atmospheric Science Letters

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 95%

Vortex detection in a simulated supercell thunderstorm

Orf

Semeraro

Wilhelmson

2007

Atmospheric Science Letters

View full text Add to dashboard Cite

show abstract

“…Roth and Peikert [13] devised a method based on higher-order partial derivatives to do vortex detection in their standard problem, the bent helical vortex.…”

Section: Background and Related Workmentioning

confidence: 99%

Vortex Detection in Vector Fields Using Geometric Algebra

Pollock¹,

Mann

2013

Adv. Appl. Clifford Algebras

View full text Add to dashboard Cite

show abstract

“…Topology-based methods exploit the fact that there is a critical point at the vortex core in the plane containing the swirling motion. By their very nature, these methods provide a description of a vortex in terms of its core line [28][29][30][31][32] or core region [33]. There are also techniques that produce feature-level descriptions of a vortex using ridge/valley-line extraction [7,[34][35][36].…”

Section: Related Workmentioning

confidence: 99%

Feature‐based adaptive mesh refinement for wingtip vortices

Kasmai

Thompson

Luke

et al. 2011

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARYFeature-based solution-adaptive mesh refinement is an attractive strategy when it is known a priori that the resolution of certain key features is critical to achieving the objectives of a simulation. In this paper, we apply vortex characterization techniques, which are typically employed to visualize vortices, to identify regions of the computational domain for mesh refinement. We investigate different refinement strategies that are facilitated by these vortex characterization techniques to simulate the flow past a wing in a wind tunnel. Our results, which we compare with experimental data, indicate that it is necessary to refine the region within and near the vortex extent surface to obtain an accurate prediction. Application of the identified mesh refinement strategy also produced observed improvement in the results predicted for a spinning missile with deflected canards.

show abstract

A higher-order method for finding vortex core lines

Cited by 105 publications

References 19 publications

Vortex detection in a simulated supercell thunderstorm

Vortex detection in a simulated supercell thunderstorm

Vortex Detection in Vector Fields Using Geometric Algebra

Feature‐based adaptive mesh refinement for wingtip vortices

Contact Info

Product

Resources

About