Predicting mixed mode damage propagation in snowpack using the extended cohesive damage element method

Chen, Jiye and Fyffe, Blair and Han, Dawei and Yang, Shangtong (2022) Predicting mixed mode damage propagation in snowpack using the extended cohesive damage element method. Theoretical and Applied Fracture Mechanics, 122. 103567. ISSN 0167-8442 (https://doi.org/10.1016/j.tafmec.2022.103567)

[thumbnail of Chen-etal-TAFM-2022-Predicting-mixed-mode-damage-propagation-in-snowpack-using-the-extended-cohesive]
Preview
Text. Filename: Chen_etal_TAFM_2022_Predicting_mixed_mode_damage_propagation_in_snowpack_using_the_extended_cohesive.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (3MB)| Preview

Abstract

A novel extended cohesive damage element method is used to develop a numerical snowpack model to study the fundamental damage mechanisms of snowpack under external drivers and to investigate multiple mixed mode damage propagation within snowpack. A new mixed mode damage criterion is introduced to account for tensile and shear fractures as well as compressive crushing together with shear crack for approximating the mixed mode damage initiation and propagation in the weak layer in snowpack. A propagation saw test (PST) is considered to understand basic damage involution in snowpack under self-weight related bending. The nonlinear fracture modelling prediction agrees with the PST sample well. This paper provides an alternative approach as a predictive method using the extended cohesive damage element for potentially forecasting slab avalanches in snow terrain according to weather forecast and planned human activities in the future.