Technical Programme
08 June 2022
16:30 - 18:30
Add Dakota Software for Optimization, Uncertainty Quantification and Model Calibration Minisymposium organized by D. Thomas Seidl, Brian M. Adams, J. Adam Stephens and Gianluca Geraci |
MS128A Room: Spitsbergen Chair: Adam Stephens |
Overview of the latest features and capabilities in the Dakota software
Hybrid physics-based, data-driven surrogate modeling for digital twins
Elastic Model Calibration using Dakota
Uncertainty quantification of the multiphase Discrete Element Model at novel test-rig using in-house algorithms
Model tuning for multifidelity sampling in Dakota
Multifidelity UQ workflows with Dakota’s graphical user interface
Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants
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