Publications related to Identification of the elastic and damping properties in sandwich structures with a low core-to-skin stiffness ratio

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

HUMANA PRESS INC2021

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Jean-Yves Le Boudec, Mario Paolone, Arpan Mukhopadhyay

We present a new approach for estimating the parameters of three-phase untransposed electrically short transmission lines using voltage/current synchrophasor measurements obtained from phasor measurement units. The parameters to be estimated are the entrie ...

2020

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Gabriel Girard, Marco Pizzolato, Jonathan Rafael Patino Lopez, Thomas Yu

Probabilistic parameter estimation in model fitting runs the gamut from maximum likelihood or maximum a posteriori point estimates from optimization to Markov Chain Monte Carlo (MCMC) sampling. The latter, while more computationally intensive, generally pr ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

Andrea Rinaldo, Bettina Schaefli, Ana Clara Pereira Barbosa Santos

Streamflow recession analysis characterizes the storage-outflow relationship in catchments. This relationship, which typically follows a power law, summarizes all catchment-scale subsurface hydrological processes and has long been known to be a key descrip ...

2019

Total Monte Carlo acceleration for the PETALE experimental programme in the CROCUS reactor

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

The Bayesian Monte Carlo technics requires individual evaluations of random cross section files based on a Total Monte Carlo propagation. This article discusses the use of a Correlated Sampling acceleration applied to TMC calculations for experiments where ...

EPJ Web of conference2018

Discrete-continuous maximum likelihood for the estimation of nested logit models

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Virginie Janine Camille Lurkin, Anna Fernández Antolín

In this paper we aim at integrating the selection of a nesting structure to the maximum likelihood framework of the parameter estimation. Given a finite set of nesting structures, the traditional approach is to estimate the models corresponding to each of ...

2017

Post-wrinkling behavior of webs in GFRP cell-core sandwich structures

Thomas Keller, Anastasios Vassilopoulos, Behzad Dehghan Manshadi

Similarly to the post-buckling behavior of steel girder webs, the post-wrinkling behavior of glass fiber reinforced polymer (GFRP) cell-core sandwich webs can increase their ultimate shear strength. Post wrinkling is, however, different from post-buckling ...

Elsevier2016

System transverse in-plane shear stiffness of pultruded GFRP bridge decks

Thomas Keller, Julia De Castro San Roman Fest, Sonia Yanes Armas

The static transverse behavior of two pultruded GFRP deck systems with trapezoidal (DS) and triangular (AS) cell cross-sectional geometry was experimentally investigated in order to study their transverse in-plane shear stiffness. Symmetric three-point ben ...

Elsevier2016

Post-wrinkling in GFRP cell-core sandwich webs

Thomas Keller, Anastasios Vassilopoulos, Behzad Dehghan Manshadi

The aims of this research is to experimentally investigate the post-wrinkling behavior in GFRP cell-core sandwiches with orthotropic webs as well as the applicability of existing theories, e.g. the rotated stress field theory, to orthotropic FRP material s ...

2014

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Identification of the elastic and damping properties in sandwich structures with a low core-to-skin stiffness ratio

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

Total Monte Carlo acceleration for the PETALE experimental programme in the CROCUS reactor

Approximate maximum likelihood estimation for population genetic inference

Discrete-continuous maximum likelihood for the estimation of nested logit models

Post-wrinkling behavior of webs in GFRP cell-core sandwich structures

System transverse in-plane shear stiffness of pultruded GFRP bridge decks

Post-wrinkling in GFRP cell-core sandwich webs

Graph Chatbot

Chat with Graph Search

Total Monte Carlo acceleration for the PETALE experimental programme in the CROCUS reactor

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Post-wrinkling in GFRP cell-core sandwich webs

System transverse in-plane shear stiffness of pultruded GFRP bridge decks

Post-wrinkling behavior of webs in GFRP cell-core sandwich structures

Discrete-continuous maximum likelihood for the estimation of nested logit models

Approximate maximum likelihood estimation for population genetic inference