41 citations · 74 across the 9 of their papers we have counts for
8 papers · 1 filter
Air drag controls the runout of small laboratory landslides
Rory T. Cerbus, Ludovic Brivady, Thierry Faug +1
Laboratory granular landslides are smaller-scale, simplified, yet well-controlled versions of larger and often tragic natural landslides. Using systematic experiments and scaling a…
A granular scaling approach to landslide runout
Rory T. Cerbus, Ludovic Brivady, Thierry Faug +1
A main objective in landslide research is to predict how far they will travel. Landslides are complex, and a complete understanding in principle requires accounting for numerous pa…
Prandtl-Tietjens intermittency in transitional pipe flows
Rory T. Cerbus
Pipe flow often traverses a regime where laminar and turbulent flow co-exist. Prandtl and Tietjens explained this intermittency as a feedback between the fluctuations of the intern…
Completing Moody's friction diagram in the turbulent transitional regime
Rory T. Cerbus, Tom Mullin
The Moody diagram, a plot of friction factor versus flow rate, is a well-known engineering tool for estimating head loss in pipe flows. It comprises well-defined relationships betw…
Kolmogorovian turbulence in transitional pipe flows
Rory T. Cerbus, Chien-chia Liu, Gustavo Gioia +1
As everyone knows who has opened a kitchen faucet, pipe flow is laminar at low flow velocities and turbulent at high flow velocities. At intermediate velocities there is a transiti…
Turbulence as Information
W. I. Goldburg, R. T. Cerbus
A message of any sort can be regarded as a source of information. Claude. E. Shannon showed in the last century that information ("what we don't already know") is equivalent to the…
Janus spectra in two-dimensional flows
Chien-Chia Liu, Rory T. Cerbus, Pinaki Chakraborty
In theory, large-scale atmospheric flows, soap-film flows and other two-dimensional flows may host two distinct types of turbulent energy spectra---in one, , the spectral expone…
Predicting 2D Turbulence
Rory Cerbus, Walter Goldburg
Prediction is a fundamental objective of science. It is more difficult for chaotic and complex systems like turbulence. Here we use information theory to quantify spatial predictio…