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Newmark sliding block model for predicting the seismic performance of vegetated slopes

Authors :
Jonathan Knappett
Teng Liang
Source :
Soil Dynamics and Earthquake Engineering. 101:27-40
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

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.

Details

ISSN :
02677261
Volume :
101
Database :
OpenAIRE
Journal :
Soil Dynamics and Earthquake Engineering
Accession number :
edsair.doi...........b8e48b13161744a5ef304decdb68eb8e
Full Text :
https://doi.org/10.1016/j.soildyn.2017.07.010