CFU: 3
Hours: 12 plus final exam
Dates: 27, 28 ,29 march 2018 from 9:00 to 13:00
Frequency: Biennial
Room: To be defined
Language: Italian or English, on request

 

The path to 3D velocimetry data: overview and techniques for data-driven analysis

Stefano Discetti
Department of Bioengineering and Aerospace Engineering Universidad Carlos III de Madrid

Ph.D specialization: Energetic and Mechanical Engineering, Aerospace and Naval Engineering, Quality and Engineering Management

Goals: Introduction to some techniques for data-driven analysis with application to planar and volumetric velocimetry.

Topics: In the first module the student is introduced to the fundamentals of PIV and to the several options available to obtain volumetric velocimetry data. In the second module techniques for data-driven analysis are outlined, including Proper Orthogonal Decomposition (POD), Dynamic Mode Decomposition, Extended POD, Spectral POD. A brief overview of data assimilation approaches for CFD analysis will also be provided.