Publication

Experimental study on prediction model for maximum rebound ratio

Publications associées (23)

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Michaël Unser, Arash Amini, Zsuzsanna Püspöki, Julien René Pierre Fageot, John Paul Ward

The detection of landmarks or patterns is of interest for extracting features in biological images. Hence, algorithms for finding these keypoints have been extensively investigated in the literature, and their localization and detection properties are well ...

SIAM PUBLICATIONS2019

Importance of the advection scheme for the simulation of water isotopes over Antarctica by atmospheric general circulation models: A case study for present-day and Last Glacial Maximum with LMDZ-iso

Etienne Gabriel Henri Vignon

Atmospheric general circulation models (AGCMs) are known to have a warm and isotopically enriched bias over Antarctica. We test here the hypothesis that these biases are partly consequences of a too diffusive advection. Exploiting the LMDZ-iso model, we sh ...

2019

Concept of Variants and Invariants for Reaction Systems, with Application to Estimation, Control and Optimization

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The concept of reaction variants and invariants for lumped reaction systems has been known for several decades. Its applications encompass model identification, data reconciliation, state estimation and control using kinetic models. In this thesis, the con ...

EPFL2018

Dealing with Correlations in Discrete Choice Models

Anna Fernández Antolín

The focus of this thesis is to develop methods to address research challenges related to correlation patterns in discrete choice models. In the context of correlations within alternatives, we extend the novel methodology of the multiple indicator solution ...

EPFL2018

A computer-based prediction platform for the reaction of ozone with organic compounds in aqueous solution: kinetics and mechanisms

Urs von Gunten, Minju Lee, Kathrin Fenner

Ozonation of secondary wastewater effluents can reduce the discharge of micropollutants by transforming their chemical structures. Therefore, a better understanding of the formation of transformation products during ozonation is important. In this study, a ...

Royal Soc Chemistry2017

An efficient method for fiber bridging traction identification based on the R-curve: Formulation and experimental validation

John Botsis, Joël Cugnoni, Thomas Gmür, Guillaume Frossard

Fiber bridging is one of the main toughening mechanisms in mode I interlaminar and intralaminar fracture of laminated composites. Intact fibers exert closing forces on both faces of the crack, restraining crack propagation. An effective identification proc ...

Elsevier2017

Experiments versus theory for the initiation and propagation of radial hydraulic fractures in low permeability materials

Brice Tanguy Alphonse Lecampion

We compare numerical predictions of the initiation and propagation of radial fluid-driven fractures with laboratory experiments performed in different low permeability materials (PMMA, cement). In particular, we choose experiments where the time evolution ...

2017

Assessment of a recent tribocorrosion model for wear of metal-on-metal hip joints: Comparison between model predictions and simulator results

Stefano Mischler, Shoufan Cao

A composite running-in wear model for metal-on-metal artificial hip joints, which combines tribo-corrosion and lubrication aspects, was published recently. In order to check the quality of the model prediction, wear rates from nineteen well-controlled simu ...

Elsevier Science Sa2016

An improved model for predicting electrical conductance in nanochannels

Philippe Renaud, Arnaud Bertsch, Mojtaba Taghipoor

Nanochannel conductance measurements are commonly performed to characterize nanofluidic devices Theoretical analysis and experimental investigations imply that the nanochannel conductance does not follow the macro-scale models. It is generally accepted tha ...

2015

Robust system identification and model predictions in the presence of systematic uncertainty

Ian Smith, Romain Pasquier

Model-based data-interpretation techniques are increasingly used to improve the knowledge of complex system behavior. Physics-based models that are identified using measurement data are generally used for extrapolation to predict system behavior under othe ...

Elsevier2015