Atomistically informed temperature and rate-dependent mechanical response of fused silica
INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING(2020)
Abstract
This manuscript studies the mechanical response of amorphous silica based on data mining from molecular dynamics simulations. The temperature- and densification-dependent yield criteria have been established. The proposed modified Drucker-Prager-cap yield criterion adequately captures the temperature effect on the initial yield surface. The main focus of this study has been on understanding the critical state, which defines the onset of an inhomogeneous plastic deformation. The machine learning-based nonparametric regression method has been employed to describe complex shear critical state dependence on temperature, pressure, and strain rate.
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Key words
amorphous glass,thermal effect,strain rate,yield criteria,critical state,machine learning
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