Publications related to Model calibration: How to integrate statistical uncertainty and multi-objective equivalence?

Learning Self-Exciting Temporal Point Processes Under Noisy Observations

Understanding the diffusion patterns of sequences of interdependent events is a central question for a variety of disciplines. Temporal point processes are a class of elegant and powerful models of such sequences; these processes have become popular across ...

EPFL2021

Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

Ian Smith

With the development of new materials and advanced structural analysis, alongside increasing aesthetic requirements, recent years have witnessed a trend toward longer, taller, and lighter footbridges. Different from vehicular bridges, footbridges carry rel ...

2021

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Lubna Dada

Bayesian state estimation in the form of Kalman smoothing was applied to differential mobility analyser train (DMA-train) measurements of aerosol size distribution dynamics. Four experiments were analysed in order to estimate the aerosol size distribution, ...

2021

Experimental characterisation of textile compaction response: A benchmark exercise

Véronique Michaud, Baris Çaglar, Christophe Lopez

This paper reports the results of an international benchmark exercise on the measurement of fibre bed compaction behaviour. The aim was to identify aspects of the test method critical to obtain reliable results and to arrive at a recommended test procedure ...

2021

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

The PETALE experimental programme in the CROCUS reactor intends to provide integral measurements to constrain stainless steel nuclear data. This article presents the tools and the methodology developed to design and optimize the experiments, and its operat ...

2020

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Violaine Bellée

This work proposes a method to measure the photon polarisation in

B^+ \rightarrow K^+ \pi^- \pi^+ \gamma

decays and prepares the necessary elements for this measurement using the data sets collected by the LHCb experiment at CERN in

2011

,

2012

, $2016 ...

EPFL2020

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Alfred Johny Wüest, Damien Bouffard, Theo Baracchini

The understanding of physical dynamics is crucial to provide scientifically credible information on lake ecosystem management. We show how the combination of in situ observations, remote sensing data, and three-dimensional hydrodynamic (3D) numerical simul ...

2020

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

A correlated sampling technique has been implemented to estimate the impact of cross section modifications on the neutron transport and in Monte Carlo simulations in one single calculation. This implementation has been coupled to a Total Monte Carlo approa ...

2020

Comparison of data interpretation methodologies for geotechnical back analysis

Ian Smith

Rigorous back analysis plays a major role in providing information to engineers for better decision-making. Most research on this topic has focused on optimization techniques. Comparative studies of data interpretation methodologies have seldom been report ...

2019

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

Ian Smith, Numa Joy Bertola

Train wheel flats are formed when wheels slip on rails. Crucial for passenger comfort and the safe operation of train systems, early detection and quantification of wheel-flat severity without interrupting railway operations is a desirable and challenging ...

2019

Model calibration: How to integrate statistical uncertainty and multi-objective equivalence?

Graph Chatbot

Chat with Graph Search

Learning Self-Exciting Temporal Point Processes Under Noisy Observations

Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Experimental characterisation of textile compaction response: A benchmark exercise

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Comparison of data interpretation methodologies for geotechnical back analysis

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

Learning Self-Exciting Temporal Point Processes Under Noisy Observations

Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Experimental characterisation of textile compaction response: A benchmark exercise

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Comparison of data interpretation methodologies for geotechnical back analysis

Time series data interpretation for ‘wheel-flat’ identification including uncertainties