SimCenter Engagement at MFEM 2022

November 16, 2022

SimCenter researchers Sanjay Govindjee (SimCenter PI) and Kuanshi Zhong (postdoctoral researcher) attended and engaged the computational mechanics community during the conference "Meshfree and Novel Finite Element Methods with Applications" (MFEM 2022), which was held on September 25- 27, 2022 in Berkeley, California.

Dr. Kuanshi Zhong presented “Surrogate Modeling of Earthquake Response of Structures Using Probabilistic Learning on Manifolds (PLoM)” during Session 13, “Machine Learning,” on September 27. This work was done together with Dr. Javi Navarro (University of Colorado, Boulder) and supervised by Dr. Sanjay Govindjee (SimCenter PI and co-director, UC Berkeley) and Dr. Gregory Deierlein (SimCenter co-director, Stanford University), and it implements a novel machine learning method, PLoM, for developing surrogate models using SimCenter software quoFEM and EE-UQ for robust and efficient prediction of structural seismic responses considering design and modeling variability and ground motion uncertainty.

The MFEM 2022 is a thematic conference organized by the United States Association for Computational Mechanics (USACM) to bring together academicians, researchers, practicing engineers and scholar students from various industries, research institutes and universities to discuss new issues, tackle challenging problems and find advanced enabling solutions which are able to shape new trends in meshfree and novel finite element methods.