Ultimate bearing capacity of a strip footing placed on sand with a rigid basement

Yang, Feng; Zheng, Xiaobo; Zhao, Lianheng; Tan, Yigao

doi:10.1016/j.compgeo.2016.04.009

Cited by 26 publications

(6 citation statements)

References 15 publications

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“…The relevant results are compared in Figure 3, in terms of the bearing capacity factor , to show how they perfectly match the available ones. Second, a comparison with the studies of [57][58][59][60][61][62][63][64] has been made through the data gathered in Table 2. Such a comparison is provided in terms of the bearing capacity factor, at a varying value of the internal friction angle .…”

Section: Size Of Void √ √ √mentioning

confidence: 99%

Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

et al. 2021

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The seismic bearing capacity of a shallow strip footing above a void displays a complex dependence on several characteristics, linked to geometric problems and to the soil properties. Hence, setting analytical models to estimate such bearing capacity is extremely challenging. In this work, machine learning (ML) techniques have been employed to predict the seismic bearing capacity of a shallow strip footing located over a single unsupported rectangular void in heterogeneous soil. A dataset consisting of 38,000 finite element limit analysis simulations has been created, and the mean value between the upper and lower bounds of the bearing capacity has been computed at the varying undrained shear strength and internal friction angle of the soil, horizontal earthquake accelerations, and position, shape, and size of the void. Three machine learning techniques have been adopted to learn the link between the aforementioned parameters and the bearing capacity: multilayer perceptron neural networks; a group method of data handling; and a combined adaptive-network-based fuzzy inference system and particle swarm optimization. The performances of these ML techniques have been compared with each other, in terms of the following statistical performance indices: coefficient of determination (); root mean square error (); mean absolute percentage error; scatter index; and standard bias. Results have shown that all the ML techniques perform well, though the multilayer perceptron has a slightly superior accuracy featuring noteworthy results (0.9955 and 0.0158).

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Section: Size Of Void √ √ √mentioning

confidence: 99%

Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

et al. 2021

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“…In the field of geotechnical engineering, the finite element limit analysis (FELA), which combines the plastic limit theorem with the finite element method (FEM), has been proven to be a robust approach for assessing the stability of geotechnical structures, such as soil slopes, retaining walls, foundations, tunnels, and so on. Since originally proposed by Sloan (1988Sloan ( , 1989 and Sloan and Kleeman (1995), both upper bound finite element method (UBFEM) and lower bound finite element method (LBFEM) have been received significant attention in the simulation of geotechnical problems (Andersen et al, 1998(Andersen et al, , 2000Lyamin and Sloan, 2002;Krabbenhoft and Damkilde, 2003;Tin-Loi and Ngo, 2003;Krabbenhøft et al, 2007;Makrodimopoulos and Martin, 2007;Martin, 2011;Sloan, 2013;Qian et al, 2015;Yang et al, 2016Yang et al, , 2017Lim et al, 2017;Xiao et al, 2018;Zhang et al, 2019b;Ukritchon and Keawsawasvong, 2018, 2020aUkritchon et al, 2020;Graine et al, 2021;Keawsawasvong and Ukritchon, 2019.…”

Section: Introductionmentioning

confidence: 99%

Towards an error indicator-based h-adaptive refinement scheme in kinematic upper-bound limit analysis with the presence of seepage forces

Zheng,

Qin,

Yang

et al. 2024

Computers and Geotechnics

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“…In terms of strip footing, it is generally accepted that the ultimate bearing capacity is one of important issues to be considered in a construction project. Strip footing is usually employed on a semi-infinite, solid bed, and is usually confined by either horizontal or vertical loads [15]. Previous studies used a range of analytical and experimental approaches to compute the relevant bearing capacity [16] [17].…”

Section: Introductionmentioning

confidence: 99%

Finite Element Analysis of the Influence of Artificial Cementation on the Strength Parameters and Bearing Capacity of Sandy Soil under a Strip Footing

Alkhamis¹,

AL-Rashidi²

2023

OJCE

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Artificial cementation is a method commonly used to enhance and improve soil properties. This paper investigates the effect of using different amounts of cement on soil strength parameters and soil bearing capacity, using the finite element method. Experimental tests are conducted on soil samples with different amounts of Portland cement. A 2-D numerical model is created and validated using the numerical modelling software, COMSOL Multiphysics 5.6 software. The study finds that the cohesion, and the angle of the internal friction of the soil samples increase significantly as a result of adding 1%, 2%, and 4% of Portland cement. The results demonstrate that the stresses and strain under the strip footing proposed decrease by 3.24% and 7.42%. Moreover, the maximum displacement also decreases by 1.47% and 2.97%, as a result of adding cements of 2% and 4%. The bearing capacity values obtained are therefore excellent, especially when using the 2% and 4% cement. The increase identified is due to the increased values of the bearing capacity factors. It is concluded that from an economic viewpoint, using 2% cement is the best option.

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Ultimate bearing capacity of a strip footing placed on sand with a rigid basement

Cited by 26 publications

References 15 publications

Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

Towards an error indicator-based h-adaptive refinement scheme in kinematic upper-bound limit analysis with the presence of seepage forces

Finite Element Analysis of the Influence of Artificial Cementation on the Strength Parameters and Bearing Capacity of Sandy Soil under a Strip Footing

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