ICASP13 – 2019 MS on Surrogate models for uncertainty quantification, reliability and sensitivity analysis

Dear Colleague

The 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13) will be held in Seoul, South Korea on May 26-30, 2019 (http://www.icasp13.snu.ac.kr/). As part of this conference, it is our pleasure to invite you to contribute to our Mini-Symposium “Surrogate models for uncertainty quantification, reliability and sensitivity analysis” (MS31), see details below.

The deadline for submitting abstracts is April 30, 2018. Please refer to the guidelines of the conference (https://www.icasp13.snu.ac.kr/submission) when preparing your abstract.

We hope that you will be able to contribute to this mini-symposium and we look forward to seeing you in Seoul next year.

Sudret Bruno <sudret@ibk.baug.ethz.ch>

BOURINET-Jean-Marc <jean-marc.bourinet@sigma-clermont.fr> Sankaran Mahadevan <sankaran.mahadevan@vanderbilt.edu>

***Abstract

Structural reliability methods and more generally, methods that aim at taking into account model- and parameters uncertainty have received much attention in the mechanical, civil, and aerospace engineering communities over the past two decades. Some well-known methods such as FORM/SORM for reliability analysis, spectral methods for stochastic finite element analysis, global sensitivity analysis (Sobol’ indices), etc. are nowadays applied in an industrial context, e.g. nuclear, aerospace, and automotive industries, among others.

However, accurate computational models (e.g., finite element analysis) of complex structures or systems are often costly. A single run of the model may last minutes to hours, even on powerful computers. In order to use these models for reliability analysis and reliability-based design optimization, which require repeated calls to the computational code, it is necessary to develop a substitute that may be evaluated thousands to millions of times at low cost: these substitutes are referred to as meta- models or surrogate models.

The aim of this mini-symposium is to confront various kinds of meta-modeling techniques in the context of uncertainty propagation including classical response surfaces, polynomial chaos expansions, Kriging, support vector regression, neural networks, sparse grid interpolation, etc. Papers that present new methodology developments as well as large scale industrial applications that make use of surrogate models are welcome.

Vers une conception robuste et fiable des systèmes mécaniques

Formation EXED – Ecole Polytechnique

Les problématiques de fiabilité et de robustesse en conception des systèmes mécaniques ont toujours fait l’objet d’une très grande attention de la part des industriels soucieux de la sûreté de fonctionnement de leurs produits.
Aujourd’hui, les approches probabilistes leur offrent un regard nouveau apportant une « précision supplémentaire » en s’appuyant sur la prise en compte de l’incertain dans le processus de conception.

Cette formation vise donc à montrer les enjeux de ce type d’approches et à donner les outils nécessaires aux participants, soit pour initier ce type de démarche dans leur entreprise, soit pour traiter des problèmes spécifiques (calcul de probabilité d’évènements rares, calculs de sensibilité ou de fiabilité à partir de codes numériques externes, fiabilité système …) afin de leur permettre une meilleure gestion des incertitudes dans leurs systèmes mécaniques.

 

 

 

 

https://exed.polytechnique.edu/fr/formations/32571/methodes-probabilistes-pour-la-gestion-des-incertitudes-en-mecanique-

ICASP13 – 2019 – Structural Health Monitoring and Model Identification in Uncertain Environments

ICASP 2019: Call for papers for MS30 “Structural Health Monitoring and Model Identification in Uncertain Environments”

We would like to kindly invite you to contribute to the mini symposium

Mini-symposium No 30
Structural Health Monitoring and Model Identification in Uncertain Environments

which we are organizing at the

13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13)

May 26-30, 2019, Seoul, Korea (http://www.icasp13.snu.ac.kr/)

We would be very pleased if you could accept this invitation and present a paper in this MS. The deadline for submitting abstracts is April 30, 2018 . Please submit your abstract according to the instructions online through the conference webpage and, in addition, email a copy to us.

ICASP13 – 2019 – Reliability and Resilience…

ICASP13 –  2019: Call for papers for MS21 “Reliability and Resilience of Critical Infrastructure Systems and Networks”

Mini-symposium No 21
Reliability and Resilience of Critical Infrastructure Systems and Networks

which we are organizing at the

13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13)

May 26-30, 2019, Seoul, Korea (http://www.icasp13.snu.ac.kr/)

We would be very pleased if you could accept this invitation and present a paper in this MS. The deadline for submitting abstracts is April 30, 2018 . Please submit your abstract according to the instructions online through the conference webpage and, in addition, email a copy to us.

Please accept our apologies if you receive this call for papers more than once through different channels.

With many thanks and best regards

Michael Beer, Konstantin Zuev, Edoardo Patelli, Matteo Broggi and Frank Coolen

 

ETH Zurich Block-Course

Dear colleagues

Please find attached the announcement for a 10-day course on Uncertainty Quantification and Data Analysis to be held at ETH Zurich on March 19-29, 2018.

The course is open to PhD students in applied mathematics, statistics and engineering. Details can be found here: http://www.zhcs.ch/education/block-course/

Please circulate among your students and collaborators.

Best regards

Bruno Sudret