2014
DOI: 10.1007/s00348-013-1650-z
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Kriging regression of PIV data using a local error estimate

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Cited by 26 publications
(14 citation statements)
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“…. Additionally, to obtain smooth and dense deformation data that can be conveniently used as input for the numerical simulation, a further interpolation of the experimental deformation data (Figure 3(a)) was performed using a Kriging regression technique [17], which can inherently process the unstructured scattered data. The raw deformation data was regressed on a structured mesh with size of 23×18, thus 414 points at each time step.…”
Section: Page 6 Of 31mentioning
confidence: 99%
“…. Additionally, to obtain smooth and dense deformation data that can be conveniently used as input for the numerical simulation, a further interpolation of the experimental deformation data (Figure 3(a)) was performed using a Kriging regression technique [17], which can inherently process the unstructured scattered data. The raw deformation data was regressed on a structured mesh with size of 23×18, thus 414 points at each time step.…”
Section: Page 6 Of 31mentioning
confidence: 99%
“…3b. Then, a Kriging regression technique (Baar et al 2014) with a correlating length of 2 mm in all directions was used in order to combine the two measurement volumes and to provide a complete visualization of the flow field. The starting position of the wing was adjusted based on the desired measurement phase so as to have the wing oriented normal to the measurement volume during image acquisition.…”
Section: Tomographic Particle Image Velocimetrymentioning
confidence: 99%
“…In the context of reconstructing measured velocity fields using GPR, previous works took the route of reconstructing the velocity components independently from each other, precluding enforcement of the mass conservation equation or other physical constraints (de Baar et al 2014;Gunes and Rist 2008;Inggs and Lord 1996;Lee et al 2008). In these works, the state is chosen as where u k are the Cartesian velocity components.…”
Section: Enforcing Mass Conservationmentioning
confidence: 99%