2018
DOI: 10.31223/osf.io/nj5mf
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Lubrication of dislocation glide in forsterite by Mg vacancies: insights from Peierls-Nabarro modeling

Abstract: Dislocation glide is an important contributor to the rheology of olivine under conditions of high stress and low to moderate temperature, such as occur in mantle wedges. Interactions between point defects and dislocation core may alter the Peierls stress,  p , and has been suggested that vacancy-related defects may selectively enhance glide on certain slip systems, changing the olivine deformation fabric.In this study, the Peierls-Nabarro model, parameterized by generalized stacking fault (GSF) energies calcu… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

1
0
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 66 publications
(82 reference statements)
1
0
0
Order By: Relevance
“…Nevertheless, we note that the cohesion y is about 0.7% of the antigorite's shear modulus at room temperature. Hence, the ratio is in the same order of magnitude as the ratio of the "lattice friction" or "Peierls stress" to shear modulus, assuming that such a ratio in antigorite is comparable to other existing measurements on silicates or carbonates (Nabarro, 1997) or computational estimates (Skelton & Walker, 2019).…”
Section: Physical Significance Of the Inverted Model Parameters For Asupporting
confidence: 70%
“…Nevertheless, we note that the cohesion y is about 0.7% of the antigorite's shear modulus at room temperature. Hence, the ratio is in the same order of magnitude as the ratio of the "lattice friction" or "Peierls stress" to shear modulus, assuming that such a ratio in antigorite is comparable to other existing measurements on silicates or carbonates (Nabarro, 1997) or computational estimates (Skelton & Walker, 2019).…”
Section: Physical Significance Of the Inverted Model Parameters For Asupporting
confidence: 70%