1. Catalogs
  2. Dantec Dynamics A/S
  3. OPD case study: Backward-facing step

OPD case study: Backward-facing step

OPD case study: Backward-facing step
1 / 12 PagesView full catalog

OPD case study: Backward-facing step

Product catalog summary
Case Study Overview: The document examines the dynamics of the flow field behind a backward-facing step in a narrow channel using time-resolved Particle Image Velocimetry (PIV). It evaluates the instability of the free shear layer of Kelvin-Helmholtz type through simple averaging, Proper Orthogonal Decomposition (POD), and Oscillation Pattern Decomposition (OPD).
Introduction: The study focuses on the complex spatio-temporal dynamics of turbulent velocity fields behind a backward-facing step, highlighting the need for advanced analysis methods beyond classical statistics to extract valuable information from PIV data.
Experimental Setup: Experiments were conducted in a blow-down facility with a wind tunnel of rectangular cross-section. A backward-facing step was placed near the channel inlet, and the Time-Resolved PIV method was used with a high-frequency laser and camera system to capture flow dynamics.
Statistical Analysis by Averaging: This section covers the classical approach of using first and second-order statistics to evaluate turbulent data. While averaging provides a general view, it does not capture the detailed dynamics and structure of the recirculation zone.
Dynamical Analysis by POD: POD is noted for extracting deterministic features from turbulent flows by identifying spatial modes with maximum turbulent kinetic energy. However, it struggles with dynamic analysis due to dense frequency spectra.
Dynamical Analysis by OPD: OPD is introduced as a superior technique for analyzing coherent structures in the flow. It evaluates individual oscillating modes, providing detailed information on frequency, topology, and dynamics, offering a clearer understanding of oscillatory behavior compared to POD.
Conclusion: The study concludes that OPD is more effective in extracting usable information from time-resolved PIV measurements, especially in the frequency domain, providing comprehensive analysis crucial for aeroelasticity and aeroacoustics applications.
Specifications and Procedures: OPD analyzes flow field dynamics by decomposing it into modes characterized by unique frequency, damping, and topology. It provides detailed descriptions of OPD modes related to Kelvin-Helmholtz instability, with data on frequencies, e-folding times, and periodicities.
Key Findings: OPD modes reveal typical flow topology linked with pseudoperiodical processes, efficiently study resonant effects in aeroelastic systems, and provide a spectrum of important frequencies and flow field topologies suitable for aeroelastic and aeroacoustic analysis.
Advantages of OPD: OPD offers a detailed representation of flow dynamics, capturing traveling and pulsating structures, provides frequency-domain information unavailable through Fourier analysis, and results are applicable as input data for other simulation methods.
Limitations: OPD requires more computational resources and time, and cannot be replaced by Fourier analysis due to its unique ability to link modes and frequencies to specific topologies.
Conclusion: OPD is presented as a superior tool for understanding turbulent flow dynamics, particularly in resonance cases with other dynamic systems, providing insights into spatial and temporal characteristics crucial for advanced fluid dynamics research.
References: The document cites works by V. Uruba and others on decomposition methods in turbulence research and spatio-temporal data analysis.
See more

Catalog excerpts

OPD case study: Backward-facing step-1

CASE STUDY: BACKWARD-FACING STEP. COMPARISON OF EVALUATION OF TIME-RESOLVED PIV MEASUREMENT BY SIMPLE AVERAGING, PROPER ORTHOGONAL DECOMPOSITION (POD), AND OSCILLATION PATTERN DECOMPOSITION (OPD) (Empty line size 14) Prof. Vaclav URUBA (Empty line size 12) Dynamics of the flow field behind a backward-facing step in a narrow channel is studied experimentally, using time-resolved PIV technique. Instability of the free shear layer of Kelvin-Helmholtz (K–H) type is evaluated, using simple averaging, Proper Orthogonal Decomposition (POD), and Oscillation Pattern Decomposition (OPD) methods. Typical time-mean structures of velocity statistics as well as dynamical structures are being presented. OPD method shows far superior results, because it is the only method available, which can extract full useable information of a TRPIV measurement in frequency domain. Keywords: Time-resolved PIV, Proper Orthogonal Decomposition, Oscillation Pattern Decomposition, channel flow, backward facing step, Kelvin-Helmholtz instability. 1. Introduction All practical cases in the field of fluid dynamics typically include turbulent velocity fields. The flow behind a backward facing step is one of canonical cases, generating highly dynamical flow field, including backflow regions. To study such type of flow case, which is characterized by spatiotemporal dynamics, proper methods have to be used. Currently, measurement data from advanced methods, as time-resolved PIV, are available. The measured time-resolved data set inherently contains a large quantity of useful information, and adequate methods of analysis are necessary to extract it in a form useable for further conclusions and use in follow-up engineering calculations, e.g. aeroelasticity and aeroacoustics. Unfortunately, classical statistical approach is not sufficient for the job. Therefore, more sophisticated alternative processing methods are required. Two advanced processing methods (POD and OPD), currently implemented in Dantec Dynamics’ DynamicStudio Version 4.x PIV software, are described and demonstrated on evaluation of air flow over a backward-facing step. A backward-facing step configuration of a channel occurs in many engineering applications, ranging from various fluidic elements, cooling of turbine blades, air conditioning pipelines, to many other devices. This configuration can be found very often in many technical applications in mechanical and civil engineering. The backward facing step flow has been established as a benchmark configuration for separated flow studies in fluid mechanics. Flow separation on the step edge is a source of pressure loss, vibrations and noise, and it also affects heat transfer. This flow belongs to the complex flow family. The flow over a backward-facing step is very simple in its geometry, but the resulting flow structure is extremely complex both in space and time. 2. Experimental Setup The following blow-down facility has been used for the experiments. The wind tunnel had rectangular cross-section with filled corners within the contraction (to suppress corner vortices), honeycomb, and

 Open the catalog to page 1
OPD case study: Backward-facing step-2

a system of damping screens followed by contraction with contraction ratio 16. The area of the test section input was 0.25 m high and 0.1 m wide. The time mean velocity differed from homogeneity in planes perpendicular to the tunnel axis in the order of tenths of percent. The channel downstream the backward facing step was 1 m long. The step was placed close to the channel inlet. In the channel inlet, the boundary layer thickness on the walls in the step position was about 3 mm, the step height was h = 25 mm. Velocity in the inlet on the step was Ui = 7.5 m/s and natural turbulence level was...

 Open the catalog to page 2
OPD case study: Backward-facing step-3

Fig. 2 – Snapshots of vorticity distribution Vorticity distributions in Fig. 2 shows free shear layer with negative (clockwise) vorticity. Behind the step, within then so called zone of recirculation, presence of large amount of small vortical structures is visible, with both positive and negative orientations. The topology of this zone is very complex and dynamical in nature. Such behavior is typical for strongly turbulent flow. 3. Statistical Analysis by Averaging Evaluation of first and second order statistics (mean and variance or covariance) is a classical approach to evaluation of turbulent...

 Open the catalog to page 3
OPD case study: Backward-facing step-4

[0.4; -0.9] position. Please note that this time-mean picture never exists in the instantaneous level, in any particular time moment. Fig. 4 – Mean velocity field vectorlines The generally accepted definition of backflow region is based on presence of negative value of streamwise (x-direction) mean velocity component. The back-flow region is clearly visible in Fig. 5, where only mean streamwise velocity component is plotted. Back-flow region of negative streamwise velocity is depicted in blue. Fig. 5 – Streamwise mean velocity component distribution The vertical spanwise (y-direction) mean velocity...

 Open the catalog to page 4
OPD case study: Backward-facing step-5

The presence of negative correlation coefficient is an indicator of turbulence production. Its distribution in the measured flow field is given in Fig. 8. Negative value (blue) indicates production of turbulence. Fig. 8 – Correlation coefficient distribution The results of statistical analysis clearly show the size and shape of the recirculation zone in classical sense, capturing its border. However, no information on structure and dynamics of the recirculation zone itself is provided. Statistical treatment of dynamical data using averaging of data ensemble is a classical approach, resulting...

 Open the catalog to page 5
OPD case study: Backward-facing step-6

those with a big amplitude and very frequent occurrence. The order of snapshots, and data acquisition timing (acquisition frequency) does not matter, since POD is a statistical method, based on ensemble averaging. The extension of POD method is Bi-Orthogonal Decomposition (BOD). While POD analyses data in spatial domain only, BOD performs spatiotemporal decomposition. As a result, if BOD is calculated from time-resolved data, both spatial and temporal modes can be evaluated, the temporal mode representing evolution of a given spatial mode amplitude in time. The first four spatial modes with the...

 Open the catalog to page 6

All Dantec Dynamics A/S catalogs and technical brochures

  1. F-Q-480

    2  Pages

  2. F-Q-400TCT

    2  Pages

  3. Q-400 μDICTM

    2  Pages

  4. Flow Field

    8  Pages

  5. FlowSense EO

    4  Pages

  6. HiSense Zyla

    2  Pages

  7. DynamicStudio

    8  Pages

  8. PDA systems

    8  Pages

*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.