Fulvio Scarano

About

Fulvio Scarano is a leading experimental fluid dynamicist whose research sits at the intersection of advanced flow measurement techniques and applied aerodynamics. He is best known for pioneering robotic volumetric Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV), transforming how researchers capture complex, large-scale three-dimensional flow fields. His landmark 2018 study on full-scale cyclist aerodynamics — now with 90 citations — demonstrated that coaxial volumetric velocimetry combined with robotics could unlock previously inaccessible measurements around geometrically complex bodies, setting a new benchmark for sports aerodynamics research. Scarano's work extends across several high-impact domains. He has investigated Reynolds number effects and drag crisis phenomena in cyclist aerodynamics, developed experimental methods for surface pressure evaluation on arbitrary three-dimensional geometries, and advanced data assimilation strategies that fuse PIV measurements with RANS simulations for enhanced computational accuracy. His contributions to wind energy research include wake scaling frameworks for vertical axis wind turbines using actuator disc models. More recently, he has addressed methodological challenges such as multi-time-interval PTV and full-domain POD reconstruction from asynchronous PIV patches. Collectively, his body of work has reshaped experimental aerodynamics, making detailed volumetric flow diagnostics viable at industrial and real-world scales.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic volumetric PIV of a full-scale cyclist

   90 citations · 2018
2. 2
   Cyclist Reynolds number effects and drag crisis distribution

   23 citations · 2020
3. 3
   Flow pressure evaluation on generic surfaces by robotic volumetric PTV

   23 citations · 2020
4. 4
   State observer data assimilation for RANS with time-averaged 3D-PIV data

   19 citations · 2020
5. 5
   Wake scaling of actuator discs in different aspect ratios

   12 citations · 2021
6. 6
   Multi-Δt 3D-PTV based on Reynolds decomposition

   10 citations · 2020
7. 7
   Robotic PTV study of the flow around automotive side-view mirror models

   9 citations · 2020
8. 8
   Experimental Comparison of the Wake of a Vertical Axis Wind Turbine and Planar Actuator Surfaces

   6 citations · 2020
9. 9
   Full-domain POD modes from PIV asynchronous patches

   4 citations · 2025
10. 10
    Recent advancements towards large-scale flow diagnostics by robotic PIV

    4 citations · 2021

Key Collaborators

Contact & Links