Journal article
Newmark sliding block model for predicting the seismic performance of vegetated slopes
- Abstract:
- This paper presents a simplified procedure for predicting the seismic slip of a vegetated slope. This is important for more precise estimation of the hazard associated with seismic landslip of naturally vegetated slopes, and also as a design tool for determining performance improvement when planting is to be used as a protective measure. The analysis procedure consists of two main components. Firstly, Discontinuity Layout Optimisation (DLO) analysis is used to determine the critical seismic slope failure mechanism and estimate the corresponding yield acceleration of a given slope. In DLO analysis, a modified rigid perfectly plastic (Mohr–Coulomb) model is employed to approximate small permanent deformations which may accrue in non-associative materials when subjected to ground motions with relatively low peak ground acceleration. The contribution of the vegetation to enhancing the yield acceleration is obtained via subtraction of the fallow slope yield acceleration. The second stage of the analysis incorporates the vegetation contribution to the slope's yield acceleration from DLO into modified limit equilibrium equations to further account for the geometric hardening of the slope under increasing soil movement. Thereby, the method can predict the permanent settlement at the crest of the slope via a slip-dependent Newmark sliding block approach. This procedure is validated against a series of centrifuge tests to be highly effective for both fallow and vegetated slopes and is subsequently used to provide further insights into the stabilising mechanisms controlling the seismic behaviour of vegetated slopes.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.1MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.soildyn.2017.07.010
Authors
- Publisher:
- Elsevier
- Journal:
- Soil Dynamics and Earthquake Engineering More from this journal
- Volume:
- 101
- Pages:
- 27-40
- Publication date:
- 2017-07-26
- Acceptance date:
- 2017-07-13
- DOI:
- EISSN:
-
1879-341X
- ISSN:
-
0267-7261
- Language:
-
English
- Keywords:
- Pubs id:
-
2360784
- Local pid:
-
pubs:2360784
- Source identifiers:
-
W2736344401
- Deposit date:
-
2026-03-19
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd.
- Copyright date:
- 2017
- Rights statement:
- © 2017 Elsevier Ltd. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Elsevier at https://dx.doi.org/10.1016/j.soildyn.2017.07.010
If you are the owner of this record, you can report an update to it here: Report update to this record