ME597/AAE590: Introduction to Uncertainty Quantification



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A full course, "Introduction to Uncertainty Quantification" is offered on A subset of lectures related to nanotechnology is available here.

The focus of the course is on the quantification of uncertainty in multiscale multiphsyics simulations for engineering analysis. Though engineering simulation has become the mainstay of academic and industrial analysis in recent years, there has been little emphasis in understanding and quantifying the source of uncertainty in predictions. These uncertainties may arise for a variety of reasons: lack of mesh-independence, inadequate physical models, uncertainties in geometry, operating conditions and material properties, among others. The course introduces the student to the concepts of verification and validation, sensitivity analysis, and uncertainty propagation using sampling methods, polynomial chaos and reliability based methods. An introduction to uncertainty quantification software is also given. Emerging topics in uncertainty quantification of microsystem simulations are presented.


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Researchers should cite this work as follows:

  • Alina Alexeenko (2011), "ME597/AAE590: Introduction to Uncertainty Quantification,"

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Birck Nanotechnology Center, Purdue University, West Lafayette, IN


Lecture Number/Topic Online Lecture Video Lecture Notes Supplemental Material Suggested Exercises
ME 597A Lecture 7: Uncertainty Quantification in Experiments View HTML
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Guest Lecture Arvind Raman.

ME 597A Lecture 13: Uncertainty Quantification of Molecular Dynamics Simulations View HTML
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Guest lecturer: Alejandro Strachan.

ME 597A Lecture 12: Uncertainty Propagation in a Multiscale Model of Nanocrystalline Plasticity View HTML
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Guest lecturer: Marisol Koslowski.

ME 597A Lecture 1: Introduction to V&V View HTML
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ME 597A Lecture 2: Sensitivity Analysis View HTML
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ME 597A Lecture 4: Generalized Polynomial Chaos for UQ I - The Galerkin Approach View HTML
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ME 597A Lecture 5: Generalized Polynomial Chaos for UQ II - The Collocation Approach View HTML
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