Experimental application of a dynamic observer to capture and predict the dynamics of a flat-plate boundary layer

Eliott Varon; Juan Guzman; Denis Sipp; Peter J. Schmid; Jean Luc Aider

Experimental application of a dynamic observer to capture and predict the dynamics of a flat-plate boundary layer

Eliott Varon, Juan Guzman, Denis Sipp, Peter J. Schmid, Jean Luc Aider

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The recent approach, proposed by Guzman-Inigo et al. [5], using System Identification to derive a Reduced Order Model from snapshots of a flow is applied to a transitional boundary layer growing over a flat-plate. It is shown that such an approach can indeed be applied to experimental PIV snapshots. Using a proper learning dataset and a proper local sensor, it is shown that the evolution of boundary layer can be properly estimated from the time evolution of the local probe and with no more than ten POD modes for the Reduced Order Model. The influence of the various parameters on the efficiency of the system identification technique is discussed.

Original language	English (US)
Title of host publication	Proceedings - 15th European Turbulence Conference, ETC 2015
Publisher	TU Delft
State	Published - Jan 1 2015
Externally published	Yes

Cite this

@inproceedings{fd099ba5930e498e8f16b19613fb77bf,

title = "Experimental application of a dynamic observer to capture and predict the dynamics of a flat-plate boundary layer",

abstract = "The recent approach, proposed by Guzman-Inigo et al. [5], using System Identification to derive a Reduced Order Model from snapshots of a flow is applied to a transitional boundary layer growing over a flat-plate. It is shown that such an approach can indeed be applied to experimental PIV snapshots. Using a proper learning dataset and a proper local sensor, it is shown that the evolution of boundary layer can be properly estimated from the time evolution of the local probe and with no more than ten POD modes for the Reduced Order Model. The influence of the various parameters on the efficiency of the system identification technique is discussed.",

author = "Eliott Varon and Juan Guzman and Denis Sipp and Schmid, {Peter J.} and Aider, {Jean Luc}",

note = "Generated from Scopus record by KAUST IRTS on 2022-09-13",

year = "2015",

month = jan,

day = "1",

language = "English (US)",

booktitle = "Proceedings - 15th European Turbulence Conference, ETC 2015",

publisher = "TU Delft",

address = "Netherlands",

}

TY - GEN

T1 - Experimental application of a dynamic observer to capture and predict the dynamics of a flat-plate boundary layer

AU - Varon, Eliott

AU - Guzman, Juan

AU - Sipp, Denis

AU - Schmid, Peter J.

AU - Aider, Jean Luc

N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The recent approach, proposed by Guzman-Inigo et al. [5], using System Identification to derive a Reduced Order Model from snapshots of a flow is applied to a transitional boundary layer growing over a flat-plate. It is shown that such an approach can indeed be applied to experimental PIV snapshots. Using a proper learning dataset and a proper local sensor, it is shown that the evolution of boundary layer can be properly estimated from the time evolution of the local probe and with no more than ten POD modes for the Reduced Order Model. The influence of the various parameters on the efficiency of the system identification technique is discussed.

AB - The recent approach, proposed by Guzman-Inigo et al. [5], using System Identification to derive a Reduced Order Model from snapshots of a flow is applied to a transitional boundary layer growing over a flat-plate. It is shown that such an approach can indeed be applied to experimental PIV snapshots. Using a proper learning dataset and a proper local sensor, it is shown that the evolution of boundary layer can be properly estimated from the time evolution of the local probe and with no more than ten POD modes for the Reduced Order Model. The influence of the various parameters on the efficiency of the system identification technique is discussed.

UR - http://www.scopus.com/inward/record.url?scp=85085776415&partnerID=8YFLogxK

M3 - Conference contribution

BT - Proceedings - 15th European Turbulence Conference, ETC 2015

PB - TU Delft

ER -

Experimental application of a dynamic observer to capture and predict the dynamics of a flat-plate boundary layer

Abstract

Other files and links

Fingerprint

Cite this