Book•
Foundation analysis and design
01 Jan 1968-
TL;DR: In this paper, Fondation de soutenagement et al. presented a reference record for Dimensionnement Reference Record created on 2004-09-07, modified on 2016-08-08.
Abstract: Keywords: Fondation ; Mur de soutenement ; Pieux ; Capacite portante ; Ancrage ; Dimensionnement Reference Record created on 2004-09-07, modified on 2016-08-08
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TL;DR: In this paper, a general equation was obtained by carrying out statistical analysis using the SPSS (Statistical Package for the Social Sciences) program from the present experimental work and previous studies, which is used to estimate the bearing capacity of floating stone column group installed in clays of different undrained shear strengths between (4-25)kPa and with different diameters and L/D ratios constructed by cased bored method.
38 citations
TL;DR: In this article, the effect of soil-structure interaction on lateral natural period, seismic base shear and fundamental torsional-to-lateral period ratio of building frames resting on raft foundation needs a detailed investigation.
38 citations
Journal Article•
TL;DR: Comparison analysis between the results of the presented methodology, standard particle swarm optimization and nonlinear programming optimization method show the ability of the proposed algorithm to find better optimal solutions for retaining wall tasks than the others.
Abstract: This paper presents an effective optimization method for nonlinear constrained optimization of retaining structures. The proposed algorithm is based on the particle swarm optimization with passive congregation. The optimization procedure controls all geotechnical and structural design constraints while reducing the overall cost of the retaining wall. To applying the constraints, the algorithm employs penalty function method. To verify the efficiency of the proposed method, two design examples of retaining structures are illustrated. Comparison analysis between the results of the presented methodology, standard particle swarm optimization and nonlinear programming optimization method show the ability of the proposed algorithm to find better optimal solutions for retaining wall tasks than the others.
38 citations
TL;DR: In this paper, a feedforward backpropagation neural network (BPNN) was used to predict the settlement of reinforced foundations on reinforced cohesionless soils, and the model performance showed very good agreement with the measured settlements.
Abstract: The use of reinforcement to increase the bearing capacity and reduce the settlement of shallow foundations is a common construction technique. Although foundation settlement is a major problem for design, few practical methods have been developed to compute the settlement of shallow foundations on reinforced cohesionless soils. In this study, a feedforward backpropagation neural network (BPNN), which is one type of artificial neural network (ANN), is used to predict the settlement of reinforced foundations. The model performance showed very good agreement with the measured settlements. The results indicate that the developed BPNN model may be a powerful tool to accurately predict settlement of shallow foundations on reinforced cohesionless soils.
38 citations
TL;DR: In this article, the bearing capacity of shallow foundations in unsaturated cohesive soils is estimated by simulating the vertical stress versus surface settlement behaviors of shallow foundation extending the modified total stress approach.
37 citations
Cites background or methods from "Foundation analysis and design"
...3 can be used as a typical value for cohesionless soils (Bowles, 2001)....
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...A Poisson’s ratio of m = 0.3 can be used as a typical value for cohesionless soils (Bowles, 2001)....
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