Geosynthetics are man-made materials used to increase the tension, compression, and shear characteristics of soil. Geogrid-reinforced material is regarded as one of the most widely used soil reinforcements. The Abaqus software (Ver. 2017) is used to simulate a 3-D fine sand model. The load-carrying capacity is investigated for both unreinforced and geogrid-reinforced fine sand supporting a 2.0m x 2.0m square footing. The relative density (Dr) of un-reinforced fine sand is 40%, the geogrid axial stiffness (J) used in the analysis varies at 250 kN/m, 500 kN/m and 1000 kN/m. The bearing capacity ratio (BCR) of geogrid-reinforced fine sand is influenced by the use of geogrid-layers with different axial stiffnesses (J). The influence of geogrid axial stiffness is evaluated using four investigated parameters: geogrid-layers number (N), vertical spacing (h/B), geogrid width/length (b/B), and first geogrid-layer depth (u/B). The results show that the numerical model validation agrees with the experimental results of Hotti and Gupta with an agreement ratio of 98% and 93%, respectively. The geogrid-reinforced fine sand with appropriate dimensions and proper geogrid-layers number has significantly increased the square footing bearing capacity. The load-bearing capacity of geogrid-reinforced fine sand increases with geogrid axial stiffness. The bearing capacity ratio is 1.45 and 2.13 when the geogrid axial stiffness increases from 250 kN/m to 500 kN/m and from 250 kN/m to 1000 kN/m, respectively. The most efficient and economical values of (u/B), (b/B), (h/B) and (N) are 0.30, 3.0, 0.15 and 3.0 for all values of geogrid axial stiffness, respectively.
No takes yet. Share an insight, caveat, or question.
Essam BADRAWI ATTIA (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: