4 papers
RAFT-DVC: Resolution-Aware Machine Learning-Based Digital Volume Correlation
Zixiang Tong, Lehu Bu, Jin Yang
Digital volume correlation (DVC) provides three-dimensional full-field displacement measurements from volumetric images, but how the internal resolution of a machine-learning-based…
Full-Field Calibration of Coupled Thermomechanical Material Models at Finite Strain
L. River Spencer, William D. Meador, Adrian Buganza Tepole +5
Calibrating thermomechanical material models from experiments is challenging because deformation, temperature, and force responses are strongly coupled, while measurements are usua…
Transformer-Based Inverse Microrheology for Experimental Mechanics at Ultra-High Strain Rates
Lehu Bu, Zhaohan Yu, Danila Frolkin +5
Traditional rheological tools are often limited in characterizing soft materials under ultra-high strain-rate loading conditions (> 1000 s^-1) due to constraints in spatiotemporal…
A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM
Sanjeev Kumar, D. Thomas Seidl, Brian N. Granzow +2
Accurate identification of material parameters is crucial for predictive modeling in computational mechanics. The two primary approaches in the experimental mechanics' community fo…