CHICAGO, IL

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Multifidelity modeling in support

of design and uncertainty quantification

Multifidelity Modeling (MFM) Workshop

26 June, 2022 - Chicago, IL
 

Multifidelity modeling encompasses a broad range of methods that use approximate models together with high-fidelity models to accelerate a computational task that requires repeated model evaluations. This workshop will highlight the tremendous recent progress of multifidelity methods for design optimization and uncertainty quantification, including (but not limited to) methods based on adaptive sampling, control variate formulations, importance sampling, trust region model management, model fusion, and Bayesian optimization. The focus is on a tutorial-style series of lectures aimed at the practitioner, together with forward-looking discussions of challenges and opportunities. The workshop will include the following key discussion topics:
1) multifidelity formulations that combine computational models with other sources of information, such as experimental data and expert opinion;

2) exploiting the connections between multifidelity modeling and machine learning methods;

3) past successes of applying multifidelity modeling in aircraft design, structural modeling, and other fields;

4) future opportunities in areas such as material design and autonomous systems.

Objectives

1) Dissemination of recent methods developments to the MDO practitioner community.

2) Discussion of challenges and opportunities to identify new collaborations and new research directions.

Register

  • Early AIAA Member Rate: $190
  • Standard AIAA Member Rate: $290
  • Non-Member Rate: $390

Register via AIAA Aviation website, here:
https://www.aiaa.org/aviation/program/aviation-course/2nd-aiaa-workshop-for-multifidelity-modeling-in-support-of-design-and-uncertainty-quantification

Schedule

Course Hours:  1 Day duration | 08:00–17:00 hrs

In-person Event Agenda 

0815–0830 | Welcome

             Laura Mainini (RTX)

0830–0945 |Tutorial/Lecture #1:

Matthias Poloczek (Amazon)

Scalable Bayesian optimization for high dimensional expensive functions

0945–1100 | Tutorial/Lecture #2:

Nathalie Bartoli (ONERA, Université de Toulouse)

Bayesian optimization via multi-fidelity surrogate modeling – method and practice

1100–1115 | Coffee break

1115–1230 | Tutorial/Lecture #3:

Benjamin Peherstorfer (NYU)

Multifidelity Uncertainty Quantification

1230–1345 | Lunch break

1345–1445 |Tutorial/Lecture #4:

Ahmed H. Bayoumy (Siemens), Michael Kokkolaras (McGill University)

Multi-Model Management in Single- and Multidisciplinary Design Optimization

1445–1545 | Tutorial/Lecture #5:

Domenico Quagliarella (CIRA)

An Open-Source Aerodynamic Framework for Benchmarking Multi-Fidelity Methods

1545–1600 | Coffee break

1600–1700 | Round Table and Closing Remarks

Moderators: Doug Allaire (TAMU), Mike Henson (Lockheed Martin)

Panelists: Karen Willcox (University of Texas Austin), Rhea Liem (HKUST), Felipe Viana (UCF), Ray Kolonay (AFRL), Mike Eldred (SANDIA), Marc Stelmack (Lockheed Martin)

 

Committee

The workshop is organized by the AIAA Multidisciplinary Design Optimization Technical Committee (AIAA MDO TC)

Organizing team:

Website support:

  • Nadine Barriety (ONERA, France)