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)
Preview |
Text.
Filename: Chen_etal_TAFM_2022_Predicting_mixed_mode_damage_propagation_in_snowpack_using_the_extended_cohesive.pdf
Accepted Author Manuscript License: 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.
ORCID iDs
Chen, Jiye, Fyffe, Blair, Han, Dawei and Yang, Shangtong ORCID: https://orcid.org/0000-0001-9977-5954;-
-
Item type: Article ID code: 82560 Dates: DateEvent31 December 2022Published21 September 2022Published Online28 August 2022AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Environmental engineering
Technology > Mechanical engineering and machineryDepartment: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 04 Oct 2022 15:39 Last modified: 15 Dec 2024 01:38 URI: https://strathprints.strath.ac.uk/id/eprint/82560