In the present work, two machine learning based constitutive models for finite deformations are proposed. Using input convex neural networks, the models are hyperelastic, anisotropic …
Hydrogels without special treatment would lose water dramatically, which significantly alters their properties. No physically-based constitutive models have been developed so far to …
We develop a fully data-driven model of anisotropic finite viscoelasticity using neural ordinary differential equations as building blocks. We replace the Helmholtz free energy …
Gelatin hydrogels are a promising candidate in biomedical fields due to their mechanical and chemical characteristics. In the present work, the effect of variation of water content on …
In this paper, we investigate the post-buckling development of instability-induced patterns in soft particulate composites. Upon reaching the critical strain level, the composite …
An alternative modelling framework is proposed for capturing the rate-dependency in the loading and unloading (ie, with softening) deformation behaviour of a wide range of isotropic …
I Valizadeh, O Weeger - International Journal of Mechanical Sciences, 2022 - Elsevier
Grayscale masked vat photopolymerization (MSLA) 3D printing enables the fabrication of graded structures from a single material, overcoming a major limitation of vat …
S Shen, D Zhong, S Qu, R Xiao - Extreme Mechanics Letters, 2022 - Elsevier
We develop a unified framework to describe the hyperelastic and damage behaviors of soft materials. The free energy density consists of both the crosslinked part of Langevin chains …