MS006A Uncertainty quantification and design optimization of complex structures and innovative construction process using machine learning I
Main Organizer:
Dr.
Duc Phi Do
(
University of Orleans
, France
)
Chaired by:
Prof. Dashnor HOXHA (Laboratory of MEchanics, Gabriel Lamé, University of Orleans , France) , Dr. Duc Phi Do (University of Orleans , France)
Prof. Dashnor HOXHA (Laboratory of MEchanics, Gabriel Lamé, University of Orleans , France) , Dr. Duc Phi Do (University of Orleans , France)
Scheduled presentations:
-
Student
Application of Machine Learning on the Uncertainty Quantification of Fresh Concrete Properties and Reliability-Based Design Optimization of the 3D Printing Process
-
Bayesian Model Updating for Predictive Digital Twins under Model Form Uncertainty
-
Artificial Intelligence in Stochastic Optimal Control for Planning Production Activities in a Manufacturing System
-
Uncertainty Quantification in Semiconductor Models
