IMAC

Below is a link to the IMAC-XLI Final Program. All times are Central Standard Time (CST UTC−06:00). This program is subject to change.

Final Program

 

** Whova will be the only way to access the full schedule of presentations and events. **
Please note: There will be no presentation schedule in the onsite printed program.
See below for instructions on downloading Whova.

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Modal Analysis: Theory and Application

Course Description:
Modal analysis theory, modal test methods, modal parameter estimation and applications are explored in this intensive two-day course by distinguished lecturers in this field. Lectures will be reinforced with demonstrations and/or videos as lecture material is discussed. This format provides immediate comprehension and understanding of the theoretical and practical aspects of modal analysis methods. At the completion of this course you will have an understanding of modal analysis theory, experimental techniques and potential applications. Based upon the time limitations, the course will only focus on providing an overview of the subject material. Demonstrations will include excitation techniques, parameter estimation techniques and some advanced processing of data.

Instructors: Pete Avitabile, Randy Allemang
Date/Time: Saturday-Sunday, February 11-12, 2023, 9:00 a.m. – 6:00 p.m.
Cost: $1000/$500 student

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Bayesian Estimation: a Tutorial from Batch to Sequential Methods

Course Description (Day 1)
In simulations of complex physical systems, uncertainties arise from imperfections in the mathematical models introduced to represent the systems and their interactions with the environment. Such uncertainties lead to significant uncertainties in the predictions using simulations. Since such predictions form the basis for making decisions, the knowledge of these uncertainties is very important. The course will present Bayesian inference and batch Bayesian model updating framework, the associated computational tools, and selected applications, along with the main challenges for quantifying and propagating uncertainties in complex structural dynamic simulations.

Course Description (Day 2)
During this day, the course offers a thorough review of recursive Bayesian estimation methods. It offers a rigorous theoretical overview of fundamental concepts, along with numerical analysis tools demonstrated on both toy examples, as well as actual-scale monitoring applications. The course covers state, input, and parameter estimation for engineered systems in presence of measurement and modelling uncertainties. Analytic methods for verification of stability, identifiability, and observability of states, inputs, and parameters are covered. The course aims in providing the attendees with a solid understanding of the potential of recursive Bayesian filters, as well as their limitations.

Instructors: Babak Moaveni, Costas Papadimitriou, Eleni Chatzi, Yashar Eftekhar Azam, Vasilis Dertimanis
Date/Time: Saturday-Sunday, February 11-12, 2023, 9:00 a.m. – 5:00 p.m.
(Instructors requested 8:30 a.m. – 4:30 p.m.)
Cost: $1000/$500 student

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Harmonic Balance From Theory to Computational Implementation - CANCELLED

Instructors: Malte Krack, Johann Gross, Rob Kuether