UQLab

Message de Bruno Sudret sur le logiciel UQLab

Dear Colleague

The new version of UQLab (V1.2) was released on March 7, 2019.

UQLab is a general purpose Uncertainty Quantification software developed at ETH Zurich (Switzerland) made of interacting modules that solve all types of uncertainty quantification problems in engineering, economics and applied sciences: uncertainty propagation through Monte Carlo simulation (e.g. using surrogate models such as Gaussian processes, polynomial chaos expansions, support vector machines, etc.), sensitivity analysis, rare event estimations, etc.

Two new modules are released in V1.2:

  • Bayesian inference for inversion and model calibration allows the user to calibrate complex computational models with heterogeneous data in a simple manner, and to carry out model inversion in the large.

The UQLab infrastructure provides all the tools for posing inversion problems in no time, seamlessly use surrogate models together with various efficient MCMC (Markov Chain Monte Carlo) solvers.

 

  • UQLib is a collection of standalone routines for differentiation, optimization and for kernel methods that can be used independently from UQLab.

 

Moreover, the Sensitivity Analysis module has been enriched with methods that allow one to address problems with dependent input parameters.

 

Visit our website www.uqlab.com. Register, download, enjoy!

 

The UQLab Development Team

ETH Zürich | Chair of Risk, Safety & Uncertainty Quantification

Prof. Bruno SUDRET

 

 

 

 

Lettre du GST – janvier 1918

LETTRE MECANIQUE ET INCERTAIN
du 21 janvier 2019

Contenu de la lettre – Informations générales sur le GST Mécanique et Incertain
o Meilleurs vœux pour 2019
o Sixième journée de la conception robuste et fiable du 2 avril 2019 (Toulouse)
o Congrès Français de Mécanique 2019 – Brest du 26 au 30 août 2019 – session Fiabilité, robustesse et gestion des incertitudes en mécanique.
o Formations Mécanique et Incertain
o Plateforme UQLAB
o Rappel de quelques congrès et manifestations en 2019

La Fiabilité en Mécanique – ouvrage en souscription aux Presses des Mines

La Fiabilité en mécanique

Des méthodes aux applications
André Lannoy, Maurice Lemaire, Alain Delage – (Dir.)

Table des matières

En souscription jusqu’au 30 janvier 2018.

Depuis les années 1990, la fiabilité mécanique a fortement évolué grâce, notamment, à la mise au point de méthodes nouvelles dans le domaine de l’analyse de risque, de la fiabilité structurale, de la gestion des incertitudes ou encore de la décision en contexte incertain. Continuer la lecture de « La Fiabilité en Mécanique – ouvrage en souscription aux Presses des Mines »

Short Course on Uncertainty Quantification

Communiqué de Americo Barbosa da Cunha Junior

Recently I taught an introductory course on UQ here in Brazil. I am sharing with you the slides of this course. Feel free to use this material for educational purposes, I hope it can be useful for your students. I am preparing (very slowly) an extended version of this material, as an introductory book. Part of the material is based on other introductory courses, from other colleagues in Brazil, USA and Europe. I tried to give credit to the original source of everything that I have used that is not of my own authorship. If I forgot to give credit to anyone, I apologize and I’ll be happy to be reminded about.

Thanks in advance for any comments, suggestions and especially criticisms.

Best regards.

Americo
Short Course on Uncertainty Quantification:

Americo Barbosa da Cunha Junior / Assistant Professor of Applied Mathematics / Institute of Mathematics and Statistics / Rio de Janeiro State University (UERJ)

URL: http://www.americocunha.org

RG: http://www.researchgate.net/profil/Americo_Cunha_Jr