Optimization of regularized B-spline smoothing for turbulent Lagrangian trajectories

Autor: Paul Debue, Adam Cheminet, Valentina Valori, Bérengère Dubrulle, Christophe Cuvier, Fançois Daviaud, Jean-Philippe Laval, Yasar Ostovan, Jean-Marc Foucaut
Přispěvatelé: Laboratoire de Mécanique des Fluides de Lille – Kampé de Fériet - UMR 9014 (LMFL), Centrale Lille-ONERA-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Service de physique de l'état condensé (SPEC - UMR3680), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Systèmes Physiques Hors-équilibre, hYdrodynamique, éNergie et compleXes (SPHYNX), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut Rayonnement Matière de Saclay (IRAMIS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), ANR-16-CE06-0006,EXPLOIT,Etude expérimentale des structures dissipatives en turbulence(2016)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Experimental Thermal and Fluid Science
Experimental Thermal and Fluid Science, Elsevier, 2021, 127, pp.110376. ⟨10.1016/j.expthermflusci.2021.110376⟩
Experimental Thermal and Fluid Science, 2021, 127, pp.110376. ⟨10.1016/j.expthermflusci.2021.110376⟩
ISSN: 0894-1777
DOI: 10.1016/j.expthermflusci.2021.110376⟩
Popis: International audience; The denoising of Lagrangian trajectories based on regularized B-spline is investigated. The aim is to find systematic criteria for optimization of algorithms used in 4D-PTV in order to optimize the quality of 4D-PTV measurements of turbulent flows as well as high-order of turbulence statistics. We introduce and adapt to this context two innovative tuning strategies which are commonly used in the Tikhonov regularization of inverse problems based on -curve shape and Normalized Cumulative Periodogram (NCP). The corresponding strategies are tested on synthetic Lagrangian trajectories computed from Direct Numerical Simulation with additional white Gaussian noise. Error-based quantities like Signal-to-Noise Ratio as well as statistical Lagrangian quantities are investigated to compare the different strategies. We then apply the algorithm to experimental data from a 4D-PTV Lagrangian measurements in a turbulent Von Kármán flow. We show the ability of those strategies to optimize the quality of the signal compared to conventional methods. Moreover, the strategies are more adaptable to real experimental noise.
Databáze: OpenAIRE