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AE 598 ONL - Modal Analysis of Fluid Flow

Fall 2021

Official Description

Subject offerings of new and developing areas of knowledge in aerospace engineering intended to augment existing formal courses. Topics and prerequisites vary for each section. See Class Schedule or departmental course information for both. Course Information: May be repeated in the same or separate terms if topics vary to a maximum of 12 hours.

Section Description

Title: Simulation prediction with quantified uncertainty Advances in computational techniques and resources have made predictive simulations an indispensable tool across engineering and science, with integration of continually more physical models into simulation tools to represent increasingly complex phenomena. This increases the challenge of both validating and quantifying the predictive uncertainty of such simulations. For true predictions there is no corresponding experimental data to check against, so quantification of predictive uncertainty increases their utility and can target pacing sources of uncertainty for reduction. This course will introduce technique for quantifying the uncertainty of simulation predictions. After the predictive science challenge is introduced and motivated with examples, we will: review basic statistical tools and distributions; discuss probability as measures of belief; examine the strengths, limitations, and design of experiments for calibration and

Related Faculty

Subject Area

Aerospace Engineering

Course Description

Students in this course will learn to apply modal analysis techniques to represent multi-scale velocity data. Topics covered include proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and spectral proper orthogonal decomposition (SPOD), in addition to analytical techniques including stability theory and resolvent analysis. Students will learn the fundamentals behind these techniques and will apply them to fluid dynamics data sets to build reduced-order models and gain insight into the physics of the flow. The term project will culminate in the writing of a conference-style paper that students can choose to submit for publication.

Credit Hours

4 hours


BS degree in engineering or science from an accredited college in the United States or an approved institution of highter learning abroad.

Uncertainty Quantification OnlONL69433ONL4 -    Marco Panesi