Hierarchical Bayesian constitutive model selection for high-strain-rate soft material characterization

Soft Matter 2026 Open access

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Authors: Víctor Sánchez, Sawyer Remillard, Bachir A. Abeid, Lehu Bu, Spencer H. Bryngelson, Jin Yang, Jonathan B. Estrada, Mauro Rodriguez
DOI: 10.1039/d5sm01193k
Cited by: 2
References: 101

Abstract

A hierarchical Bayesian framework is developed for the inertial microcavitation rheometry technique to probabilistically select constitutive models and estimate parameters of soft materials from bubble dynamics under ultra-high strain rates.

Fields of Study & Subjects

High-Velocity Impact and Material Behavior Elasticity and Material Modeling Cellular and Composite Structures

Publication details

Journal / source
Soft Matter
Publisher
Royal Society of Chemistry (RSC)
Volume
22
Issue
17
Pages
3207–3223
Publication date
1 January 2026
Language
EN