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In this study, a new method for slope remediation using geofoam blocks was tested through physical laboratory experiments.
In this study, these questions are resolved by developing an efficient computer-based simulation method for slope system reliability analysis.
This paper aims to propose a method for slope reliability analysis by considering both the inherent variability of soil parameters and geological uncertainty.
Five methods, i.e. CSRM (comprehensive sliding resistance method), MTM (main thrust method), CDM (comprehensive displacement method), SDM (surplus displacement method), and MPM (main pull method), for slope stability calculation are proposed.
A multi-objective inverse analysis method for slope excavation was proposed, in which orthogonal design, numerical simulation, back propagation neural network (BPNN) and elitist non-dominated sorting genetic algorithm (NSGA-II) were integrated.
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This paper presents a simplified reliability method for slopes considering spatial soil variability.
Soil nailing is an effective stabilizing method for slopes and excavations and has been widely used worldwide.
Compared to the two-dimensional method for the slope stability analysis, the three-dimensional method can reflect the actual slope condition better.
An innovative method for extracting slope, aspect, and height data for sand dunes using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) images was developed, based on the regularity and periodicity of dunes' landscapes.
Using this idea, a graphical method for evaluating slope-rotatability in axial directions with respect to second order response surface designs is proposed.
Slopes were compared via the slopes test [(=SlopesTest x1, y1, x2, y2)] and the T-distribution [(=TDIST x, df, tails)] following the method for comparing slopes of two independent samples developed by Zaiontz (2014).
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