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The usefulness of the results for analytical road pavement design are demonstrated by using a back-analysis procedure to determine appropriate resilient modulus values to characterise an analytical model of a road pavement together with the performance models to predict road pavement subgrade performance under cumulative applications of traffic load.
It was measured using a back-illuminated Snellen chart at 6 meters and converted to logarithm of minimal angle of resolution (logMAR) scale for analysis.
The FGD guides were translated from English to Akan using a back-to-back translation strategy.
A back analysis was carried out using the above-described "GeoFlow_SPH" model in order to estimate the initial volume (Vin) of the landslide and the main mechanical properties.
The best-fit results of a back analysis for the first rock avalanche not using the flexible block model are shown in Fig. 11b.
Therefore, the best rheological model is determined by performing a back analysis for to the investigated case by using similar phenomena.
It is shown that the proposed analytical solution can be effectively used as a "back-analysis" tool for the characterization of rock elasticity and strength properties.
A back analysis on a failed slope was performed.
The primary objective of the present study was to quantify the relative effect of the magnitude and direction of the exerted push force and of trunk inclination on the mechanical load at the low back using a regression analysis for correlated data.
Therefore, an internal frictional rheology is considered, as well as a basal rheology that depends on one or two parameters (depending on the chosen rheological model) that are established with a calibration procedure by using back analysis.
The main purpose of this study is to determine the geotechnical parameters using back analysis based on convergence data, and also to adopt an appropriate primary support system.
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