|
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 |
Room: Spitsbergen MS128A Chair: Adam Stephens |
|
Overview of the latest features and capabilities in the Dakota software
J. Adam Stephens, D. Thomas Seidl , Brian M. Adams and Gianluca Geraci Hybrid physics-based, data-driven surrogate modeling for digital twins Karthik Duraisamy and Jasmin Lim Elastic Model Calibration using Dakota J. Derek Tucker, Michael S. Eldred and Devin Francom Uncertainty quantification of the multiphase Discrete Element Model at novel test-rig using in-house algorithms Marcin Nowak, Agata Widuch, Dawid Sukiennik, Kari Myöhänen, Markku Nikku, Alessandro Parente and Wojciech Adamczyk Model tuning for multifidelity sampling in Dakota Michael Eldred, Gianluca Geraci, Bryan Reuter, Teresa Portone, John Jakeman and Alex Gorodetsky Multifidelity UQ workflows with Dakota’s graphical user interface Gianluca Geraci, Elliott M. Ridgway, Brian M. Adams, Bryan W. Reuter and Michael S. Eldred Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants Friedrich Menhorn, Gianluca Geraci, D. Thomas Seidl, Ryan King, Michael Eldred, Hans-Joachim Bungartz and Youssef Marzouk |
|