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uncertainty quantification

Opening for a new Master student in the Computational Mechanics group, Georgia Southern University

Submitted by Xuchun Ren on
job
M.S. Position Opening
Topology optimization
uncertainty quantification

The Computational Mechanics group at Georgia Southern University, led by Dr. Xuchun Ren, is looking for a new Research Assistant, who are capable of and interested in performing high-quality research on engineering design. The research, supported by  U.S. National Science Foundation and Startup Funding, entails building a solid mathematical foundation, devising efficient numerical algorithms, and developing practical computational tools for stochastic topology optimization.

Opening for two new Ph.D. students in the Computational Mechanics group, The University of Iowa.

Submitted by Xuchun Ren on
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Computational Mechanics Forum
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2 PhD Position Openings
isogeometric methods
uncertainty quantification

The Computational Mechanics group at The University of Iowa, led by Professor S. Rahman, is looking for two new Ph.D. students, who are capable of and interested in performing high-quality research on isogeometric methods and uncertainty quantification. The research, supported by U.S. National Science Foundation, requires building a solid mathematical foundation, devising efficient numerical algorithms, and developing practical computational tools, all associated with stochastic isogeometric analysis of complex materials and structures. A substantial background in solid mechanics with coding experience in finite-element or similar methods is a must; exposures to uncertainty quantification and probabilistic methods are highly desirable.

Opening for two new Ph.D. students in the Computational Mechanics group, The University of Iowa.

Submitted by Xuchun Ren on
job
2 PhD Position Openings
isogeometric methods
uncertainty quantification

The Computational Mechanics group at The University of Iowa, led by Professor S. Rahman, is looking for two new Ph.D. students, who are capable of and interested in performing high-quality research on isogeometric methods and uncertainty quantification. The research, supported by U.S. National Science Foundation, requires building a solid mathematical foundation, devising efficient numerical algorithms, and developing practical computational tools, all associated with stochastic isogeometric analysis of complex materials and structures. A substantial background in solid mechanics with coding experience in finite-element or similar methods is a must; exposures to uncertainty quantification and probabilistic methods are highly desirable.

fast method for optimal experimental design

Submitted by LONGQ on
research
uncertainty quantification
experimental design
Bayesian inference
sparse quadrature

Shannon-type expected information gain can be used to evaluate the
relevance of a proposed experiment subjected to uncertainty. The
estimation of such gain, however, relies on a double-loop integration.
Moreover, its numerical integration in multi-dimensional cases, e.g.,
when using Monte Carlo sampling methods, is therefore computationally
too expensive for realistic physical models, especially for those
involving the solution of partial differential equations. In this work,
we present a new methodology, based on the Laplace approximation for the
integration of the posterior probability density function (pdf), to
accelerate the estimation of the expected information gains in the model
parameters and predictive quantities of interest. We obtain a

Advanced Short Course on "Identification methods for Structural Health Monitoring and Residual Lifecycle Assessment"

Submitted by lne.chatzi on
conference
uncertainty quantification
Bayesian Computational Techniques dynamic respons
Modal Identificatio
Reliability Method
structural health monitorig
Structural Identificatin

We are pleased to announce the Advanced Short Course at the International Centre for Mechanical Sciences (CISM) on

Identification Methods for Structural Health Monitoring and Residual Lifecycle Assessment

June 3, 2013 — June 7, 2013

 

http://www.cism.it/courses/C1303/

http://www.ibk.ethz.ch/ch/news/CISM.pdf

 

Coordinators:

Postdoctoral Fellowship at Northwestern University in Stochastic Multiscale Analysis and Design

Submitted by weichen on
job
uncertainty quantification
Polymer nanocomposites
Microstructure characterization
Multiscale analysis

We are seeking applicants for a Postdoctoral Fellowship in “stochastic multiscale analysis and design” in the Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA. Applicants are expected to have expertise in the following areas: solid mechanics, uncertainty quantification, finite element modeling, and engineering optimization. The candidate is expected to have a strong background in statistical analysis. Prior experience with material microstructure characterization via image processing, and model uncertainty quantification is preferred.

Uncertainty quantification in mechanics

Submitted by Biswajit Banerjee on
research
uncertainty quantification

Modern composite structures have a wide spread in their failure stress.  Advanced multiphysics codes can have a wide range of predicted behavior for nominally the same inputs.  How do we certify the design of such structures or the accuracy of such codes?

Uncertainty Quantification (UQ) in Computational Science Workshop

Submitted by karelmatous on
uncertainty quantification
Computational Science
Workshop

I would like to inform you that the Computational Science and Engineering at the University of Illinois at Urbana-Champaign is organizing a workshop on Uncertainty Quantification (UQ) in Computational Science on June 11-12, 2007. There is no registration fee for this workshop !!!

Please visit: http://www.cse.uiuc.edu/uq/

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