@incollection{ChansonBungMatos2015, author = {Chanson, Hubert and Bung, Daniel B. and Matos, J.}, title = {Stepped spillways and cascades}, series = {Energy dissipation in hydraulic structures / Hubert Chanson (ed.)}, booktitle = {Energy dissipation in hydraulic structures / Hubert Chanson (ed.)}, publisher = {CRC Press}, address = {Boca Raton, Fla. [u.a.]}, isbn = {978-1-138-02755-8 (print) ; 978-1-315-68029-3 (e-Book)}, pages = {45 -- 64}, year = {2015}, language = {en} } @article{KramerValeroChansonetal.2019, author = {Kramer, Matthias and Valero, Daniel and Chanson, Hubert and Bung, Daniel B.}, title = {Towards reliable turbulence estimations with phase-detection probes: an adaptive window cross-correlation technique}, series = {Experiments in Fluids}, volume = {60}, journal = {Experiments in Fluids}, publisher = {Springer}, address = {Berlin}, issn = {1432-1114}, doi = {10.1007/s00348-018-2650-9}, year = {2019}, language = {en} } @article{ValeroChansonBung2019, author = {Valero, Daniel and Chanson, Hubert and Bung, Daniel B.}, title = {Robust estimators for turbulence properties assessment}, pages = {1 -- 24}, year = {2019}, language = {en} } @article{ValeroChansonBung2020, author = {Valero, Daniel and Chanson, Hubert and Bung, Daniel B.}, title = {Robust estimators for free surface turbulence characterization: A stepped spillway application}, series = {Flow Measurement and Instrumentation}, volume = {76}, journal = {Flow Measurement and Instrumentation}, number = {Art. 101809}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0955-5986}, doi = {10.1016/j.flowmeasinst.2020.101809}, year = {2020}, abstract = {Robust estimators are parameters insensitive to the presence of outliers. However, they presume the shape of the variables' probability density function. This study exemplifies the sensitivity of turbulent quantities to the use of classic and robust estimators and the presence of outliers in turbulent flow depth time series. A wide range of turbulence quantities was analysed based upon a stepped spillway case study, using flow depths sampled with Acoustic Displacement Meters as the flow variable of interest. The studied parameters include: the expected free surface level, the expected fluctuation intensity, the depth skewness, the autocorrelation timescales, the vertical velocity fluctuation intensity, the perturbations celerity and the one-dimensional free surface turbulence spectrum. Three levels of filtering were utilised prior to applying classic and robust estimators, showing that comparable robustness can be obtained either using classic estimators together with an intermediate filtering technique or using robust estimators instead, without any filtering technique.}, language = {en} } @inproceedings{ValeroKramerBungetal.2019, author = {Valero, Daniel and Kramer, Matthias and Bung, Daniel B. and Chanson, Hubert}, title = {A stochastic bubble generator for air-water flow research}, series = {E-proceedings of the 38th IAHR World Congress, September 1-6, 2019, Panama City, Panama}, booktitle = {E-proceedings of the 38th IAHR World Congress, September 1-6, 2019, Panama City, Panama}, doi = {10.3850/38WC092019-0909}, pages = {5714 -- 5721}, year = {2019}, language = {en} }