New Location: Online workshop on Thursday and Friday
New Date: 19th - 20th November 2020
SIG: SIG32 Particle Image Velocimetry
Website: http://cfdforpiv.dlr.de/
Organisers:
Dr. Andreas Schröder, DLR, AS-EXV, Bunsenstr. 10, 37073 Göttingen, Germany
Dr. Benjamin Leclaire, ONERA, DAAA, Meudon-Paris, France
Dr. Andrea Sciacchitano, TU Delft, Delft, The Netherlands
Due to the ongoing spread of the new coronavirus we decided to organize our workshop and challenge on LPT and DA fully virtual on November 19 - 20, 2020.
Registration should be done on the workshop website only. All details are given there. The registration is free of charge and includes coffee breaks and one lunch. The workshop is financially supported by ERCOFTAC, LaVision GmbH and the H2020 EU project HOMER.
We would like to draw your attention to this workshop that is scheduled for November 19 - 20, 2020 as a virtual online meeting. Recently several data assimilation (DA) methods have been developed at the junction between experimental and numerical fluid mechanics and aerodynamics. DA allows increasing the spatial and temporal resolution of sparse measurement data and calculating and extracting physical meaningful content like pressure fields, coherent structures or periodic flow features for a better insight into the flow dynamics. We assume you might be interested in participating, sharing your views, experience and of course latest research results within a relatively small and focused community.
Many procedures are nowadays available that increase or enhance the information measured with Particle Image Velocimetry (PIV) or Lagrangian Particle Tracking (LPT) using techniques imported from the CFD and applied mathematics community. The advent of time-resolved and volumetric measurements have multiplied the possibilities with much excitement of PIV and LPT development researchers as well as from the applied fluid mechanics community. The methods range from regularization strategies using the (simplified) Navier-Stokes-equation or the use of the momentum equation to obtain pressure from velocity and acceleration measurements, machine learning, to variational data-assimilation frameworks using adjoint CFD.
The presentations (~15-minutes) will focus on recent studies, but as well on a larger perspective and showing the relevant work of different research groups related to data-assimilation for PIV and LPT processing. Several presentations are already confirmed. A detailed agenda will follow in May 2020. Do not hesitate to contact us in case you have any questions or require further information.
Since Friday, March 9, 2020 a synthetic test case based on an incompressible turbulent boundary layer flow with an immersed cylinder wake is available via the download link below to the participants of two challenges: https://w3.onera.fr/first_lpt_and_da_challenge/
Deadline for the upload of results of the LPT and DA challenge was on Friday, July 17, 2020! Both results will be compared with and assessed by physical measures (position, velocity, pressure, etc.) of the full LES input data. The presentation of the challenge results will cover half of the second day of the workshop.
Website: http://cfdforpiv.dlr.de/
Dr. Andreas Schröder, DLR, AS-EXV, Bunsenstr. 10, 37073 Göttingen, Germany, e-mail: Andreas.Schroeder@dlr.de
Dr. Benjamin Leclaire, ONERA, DAAA, Meudon-Paris, France, e-mail: Benjamin.Leclaire@onera.fr
Dr. Andrea Sciacchitano, TU Delft, Delft, The Netherlands, e-mail: A.Sciacchitano@tudelft.nl
Mrs. Catrin Rosenstock, DLR, AS, Bunsenstrasse 10, 37073 Göttingen, Germany; Tel: +49 551 709 2468, Fax: + 49 551 709 2830, e-mail: catrin.rosenstock@dlr.de