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Creep deformation in a RF MEMS device
19 Apr 2011 | Tools | Contributor(s): Diego Fernando Cifuentes Pardo, Guillermo Andres Roman, Marisol Koslowski, Alejandro Strachan, Gabriela Venturini
Study creep deformation in a fixed-fixed beam model of an electrically actuated RF MEMS device
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Lecture 13: Uncertainty Quantification Molecular Dynamics Simulations
01 Feb 2011 | Online Presentations | Contributor(s): Alejandro Strachan
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Lecture 12: Uncertainty Propagation in a Multiscale Model of Nanocrystalline Plasticity
01 Feb 2011 | Online Presentations | Contributor(s): Marisol Koslowski
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Lecture 9: Dakota as a Solution Verification and Uncertainty Quantification Tool
09 Dec 2010 | Online Presentations
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Lecture 11: Bayesian Methods II
17 Nov 2010 | Online Presentations | Contributor(s): Sankaran Mahadevan
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Lecture 10: Bayesian Methods I
17 Nov 2010 | Online Presentations | Contributor(s): Sankaran Mahadevan
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Lecture 8: V&V and UQ of Computational Models
28 Oct 2010 | Online Presentations | Contributor(s): Alina Alexeenko
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Lecture 7: UQ in Experiments
08 Oct 2010 | Online Presentations | Contributor(s): Arvind Raman
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Lecture 6: Using MEMOSA UQ Software
04 Oct 2010 | Online Presentations | Contributor(s): Martin Hunt
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Lecture 5: Generalized Polynomial Chaos for UQ, part 2
04 Oct 2010 | Online Presentations | Contributor(s): Dongbin Xiu, Akil Narayan
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Lecture 4: Generalized Polynomial Chaos for UQ, part 1
18 Sep 2010 | Online Presentations | Contributor(s): Dongbin Xiu, Akil Narayan
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Lecture 3: Uncertainty Propagation
13 Sep 2010 | Online Presentations | Contributor(s): Lin Sun, Martin Hunt
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Lecture 2: Sensitivity Analysis
08 Sep 2010 | Online Presentations | Contributor(s): Sanjay Mathur
Linear sensitivity analysis; finite difference, sensitivity equation, code differentiation.
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ME597/AAE590: Introduction to Uncertainty Quantification
08 Sep 2010 | Courses | Contributor(s): Alina Alexeenko
The focus of the course is on the quantification of uncertainty in multiscale multiphsyics simulations for engineering analysis. The course is taught as a set of lectures given by Purdue Faculty from the schools of Science and Engineering.
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Lecture 1: Introduction to Verification & Validation and Uncertainty Quantification
08 Sep 2010 | Online Presentations | Contributor(s): Alina Alexeenko, Jayathi Murthy
Intro to V&V and UQ; basic statistics.
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Coarse-grained Model for RF MEMS Device
06 Aug 2010 | Tools | Contributor(s): Venkattraman Ayyaswamy, Alina Alexeenko
Simple model for beam deflection as a function of time for an RF MEMS device
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The Challenges of Micro-System Product Development
08 Jun 2009 | Online Presentations | Contributor(s): James J. Allen
This talk will discuss the historical development of micro‐system technology, the products that have been developed and the challenges to development of a reliable product.
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Nanotribology, Nanomechanics and Materials Characterization Studies
05 Jun 2009 | Online Presentations | Contributor(s): Bharat Bhushan
At most solid‐solid interfaces of technological relevance, contact occurs at numerous asperities. A sharp atomic/friction force microscope (AFM/FFM) tip sliding on a surface simulates just one such contact. However, asperities come in all shapes and sizes which can be simulated using tips of …
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Experiences with nonintrusive polynomial Chaos and stochastic collocation methods for uncertainty analysis and design
05 Jun 2009 | Online Presentations | Contributor(s): Michael S. Eldred
Non—intrusive polynomial chaos expansion (PCE) and stochastic collocation (SC) methods are attractive techniques for uncertainty quantification due to their abilities to produce functional representations of stochastic variability and to achieve exponential convergence rates in statistics of …
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Gas Damping of Microcantilevers at Low Ambient Pressures
05 Jun 2009 | Online Presentations | Contributor(s): Rahul Anil Bidkar
This seminar will present a theoretical model for predicting the gas damping of long, rectangular silicon microcantilevers, which are oscillating in an unbounded gaseous medium with the ambient pressures varying over 5 orders of magnitude (1000 > Kn > 0.03). The work is the result of a …