Back to Search Start Over

Nonlinear seismic response analysis of slopes considering the coupled effect of slope geometry and soil stratigraphy.

Authors :
Li, Yiming
Wang, Guoxin
Ding, Yang
Source :
Geophysical Journal International. Jul2024, Vol. 238 Issue 1, p616-630. 15p.
Publication Year :
2024

Abstract

To investigate the effects of slope geometric parameters and soil stratigraphic properties on the topographic amplification of ground motions, a large number of 2-D horizontally layered slope models are constructed. First, the linear and nonlinear seismic responses of a slope model are compared, and the result shows that the nonlinear characteristics of soils should be considered when studying the amplifying effect of slope topography on ground motions. Then, the nonlinear seismic responses of these slope models are analysed from four aspects: the maximum shear strain in the slopes, the effects of geometry and stratigraphy on the seismic response, the distance between the maximum topographic amplification indicators and the slope crest, and the influence range of slope topography behind the slope crest. The results indicate that the amplifying effect of slope topography on ground motions increases with increasing slope height or decreasing average shear wave velocity of the overlying soil layers. Besides, the variation of the topographic amplification effect with slope gradient is significantly influenced by soil stratigraphic properties. The distance between the maximum topographic amplification indicators and the slope crest is mainly in the range of 0–60 m, and the influence range of slope topography behind the slope crest is mainly in the range of 0–150 m. Subsequently, approximate relations are derived based on regression analyses of simulation results, which can provide meaningful references for the seismic design and seismic retrofitting of engineering structures behind the slope crest. Finally, the effects of slope geometric parameters and soil stratigraphic properties on ground motion modifications are further evaluated according to the prediction curves provided by the approximate relations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0956540X
Volume :
238
Issue :
1
Database :
Academic Search Index
Journal :
Geophysical Journal International
Publication Type :
Academic Journal
Accession number :
177745578
Full Text :
https://doi.org/10.1093/gji/ggae174