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A platform for research: civil engineering, architecture and urbanism
Bearing Capacity Estimation of Ring Footing on Layered Sand with Geogrid at the Interface Using FELA and MARS
https://orcid.org/http://orcid.org/0000-0002-1760-9838
This research investigates the bearing capacity of a ring-shaped foundation on layered sand reinforced with a geogrid at the interface. The study employed lower and upper-bound limit analysis methods, along with finite elements and second-order conic programming (SOCP). The Mohr–Coulomb yield criterion and associated flow rule were used to characterize the behavior of the sand. The bearing capacity was evaluated and presented in a non-dimensional form for different combinations of the inner-to-outer ring diameter ratio (Di/Do) and the friction angles of the top and bottom layers (ϕ1,ϕ2). The computational results indicated that the densification of the top layer significantly enhanced the bearing capacity, reaching up to 82 times that of the homogeneous case. Additionally, the placement of the geogrid reduced the thickness of the dense top layer by up to 30%. Furthermore, a sensitivity analysis model was proposed, based on 1746 data sets obtained from finite element limit analysis, utilizing the Multivariate Adaptive Regression Spline (MARS). Consequently, the numerical results correlated well with an R2 of 0.998. Additionally, MARS results show that H/(Do−Di) is the most crucial parameter influencing the output, followed by Df/(Do−Di), ϕ1, Di/Do, ϕ2.
Bearing Capacity Estimation of Ring Footing on Layered Sand with Geogrid at the Interface Using FELA and MARS
https://orcid.org/http://orcid.org/0000-0002-1760-9838
This research investigates the bearing capacity of a ring-shaped foundation on layered sand reinforced with a geogrid at the interface. The study employed lower and upper-bound limit analysis methods, along with finite elements and second-order conic programming (SOCP). The Mohr–Coulomb yield criterion and associated flow rule were used to characterize the behavior of the sand. The bearing capacity was evaluated and presented in a non-dimensional form for different combinations of the inner-to-outer ring diameter ratio (Di/Do) and the friction angles of the top and bottom layers (ϕ1,ϕ2). The computational results indicated that the densification of the top layer significantly enhanced the bearing capacity, reaching up to 82 times that of the homogeneous case. Additionally, the placement of the geogrid reduced the thickness of the dense top layer by up to 30%. Furthermore, a sensitivity analysis model was proposed, based on 1746 data sets obtained from finite element limit analysis, utilizing the Multivariate Adaptive Regression Spline (MARS). Consequently, the numerical results correlated well with an R2 of 0.998. Additionally, MARS results show that H/(Do−Di) is the most crucial parameter influencing the output, followed by Df/(Do−Di), ϕ1, Di/Do, ϕ2.
Bearing Capacity Estimation of Ring Footing on Layered Sand with Geogrid at the Interface Using FELA and MARS
https://orcid.org/http://orcid.org/0000-0002-1760-9838
This research investigates the bearing capacity of a ring-shaped foundation on layered sand reinforced with a geogrid at the interface. The study employed lower and upper-bound limit analysis methods, along with finite elements and second-order conic programming (SOCP). The Mohr–Coulomb yield criterion and associated flow rule were used to characterize the behavior of the sand. The bearing capacity was evaluated and presented in a non-dimensional form for different combinations of the inner-to-outer ring diameter ratio (Di/Do) and the friction angles of the top and bottom layers (ϕ1,ϕ2). The computational results indicated that the densification of the top layer significantly enhanced the bearing capacity, reaching up to 82 times that of the homogeneous case. Additionally, the placement of the geogrid reduced the thickness of the dense top layer by up to 30%. Furthermore, a sensitivity analysis model was proposed, based on 1746 data sets obtained from finite element limit analysis, utilizing the Multivariate Adaptive Regression Spline (MARS). Consequently, the numerical results correlated well with an R2 of 0.998. Additionally, MARS results show that H/(Do−Di) is the most crucial parameter influencing the output, followed by Df/(Do−Di), ϕ1, Di/Do, ϕ2.
Bearing Capacity Estimation of Ring Footing on Layered Sand with Geogrid at the Interface Using FELA and MARS
Int. J. of Geosynth. and Ground Eng.
Das, Pragyan Paramita (author) / Khatri, Vishwas N. (author) / Lai, Van Qui (author) / Keawsawasvong, Suraparb (author)
2023-10-01
Article (Journal)
Electronic Resource
English
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