2 citations · 2 across the 4 of their papers we have counts for
5 papers
Limits of constant-parameter constitutive models for hydrogels under inertial cavitation
Tianyi Chu, Joseph Beckett, Zhiren Zhu +2
Mechanical characterization of soft materials at high strain rates is challenging due to their high compliance, nonlinear viscoelastic behavior, and potentially history-dependent r…
Hierarchical Bayesian constitutive model selection for high-strain-rate soft material characterization
Victor Sanchez, Sawyer Remillard, Bachir A. Abeid +5
The high-fidelity characterization of soft, tissue-like materials under ultra-high-strain-rate conditions is critical in engineering and medicine. Still, it remains challenging due…
Automating Sensor Characterization with Bayesian Optimization
J. Cuevas-Zepeda, C. Chavez, J. Estrada +6
The development of novel instrumentation requires an iterative cycle with three stages: design, prototyping, and testing. Recent advancements in simulation and nanofabrication tech…
Accelerating Bayesian Optimal Experimental Design via Local Radial Basis Functions: Application to Soft Material Characterization
Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson
We develop a computational approach that significantly improves the efficiency of Bayesian optimal experimental design (BOED) using local radial basis functions (RBFs). The present…
Bayesian optimal design accelerates discovery of material properties from bubble dynamics
Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson
An optimal sequential experimental design approach is developed to computationally characterize soft material properties at the high strain rates associated with bubble cavitation.…