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Meeting MS&T24: Materials Science & Technology
Symposium Integrated Computational Materials Engineering for Physics-Based Machine Learning Models
Presentation Title Advanced Coupling of an FFT-Based Mesoscale Modeling Method to a Macroscale Finite Element Method
Author(s) Evan J. Lieberman, Miroslav Zecevic, Caleb Yenusah, Nathaniel Morgan, Ricardo Lebensohn
On-Site Speaker (Planned) Evan J. Lieberman
Abstract Scope We present a demonstration of coupling between a continuous Galerkin hydrodynamic (CGH) finite element method and an elasto-viscoplastic fast Fourier Transform-based (EVPFFT) that we have advanced to allow for non-periodic velocity boundary conditions, which are achieved via Dirichlet boundary conditions. This advancement allows for the input to the micromechanical EVPFFT method to no longer be constrained to mean value information. The EVPFFT and CGH methods are both a part of the open-source Fierro mechanics code, which incorporates the C++ Matrix and Array (MATAR) library for productivity, performance, and portability across computer architectures, leading to efficient simulation times for this advanced material modeling. We demonstrate the results of both simple and complex coupling methods using Taylor anvil simulations based on experiments.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Multiscale Simulation Investigation of Cavity Evolution in a Ni TPBAR Coating
Advanced Coupling of an FFT-Based Mesoscale Modeling Method to a Macroscale Finite Element Method
B-1: Statistically Equivalent Virtual Microstructures for Modeling of Complex Polycrystalline Alloys Using a Generative Adversarial Network (GAN)-Enabled Computational Platform
Deep Generative Model for Reproducing Microstructure of Low-Carbon Steel During Continuous Cooling
Deep Learning for Early Detection and Localization of Damage in Metal Plates
Developing Data-Driven Strength Models Incorporating Temperature and Strain-Rate Dependence
Hybrid Machine Learning Informed Design Guidelines for Structural Gradient Alloys with Enhanced Performances
Phase-Field Modeling of Grain Evolution and Recrystallization in Friction Stir Processing
PRISMS-MultiPhysics: An Open-Source Coupled Phase Field-Crystal Plasticity Framework and its Application to Simulate Twinning in Magnesium Alloys
Thermodynamic Integration for Dynamically Unstable Systems Using Interatomic Force Constants without Molecular Dynamics
Utilizing Convex Neural Networks to Predict the Yield Surfaces of Polycrystalline Samples with Complex Crystallographic Textures

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