Ultimate Bearing Capacity of Strip Foundations in Unsaturated Soils considering the Intermediate Principal Stress Effect
نویسندگان
چکیده
منابع مشابه
prediction the ultimate bearing capacity of shallow foundations on the cohesionless soils using m5p model tree
bearing capacity prediction of shallow foundation is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. recently, soft computing methods such as artificial neural networks (anns) and support vector machines (svms) have been used for prediction of the ultimate bearing capacity of sha...
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Naturally occurred soil deposits inherit heterogeneity and anisotropy in their strength properties. The main purpose of this paper is to model the soil stratum with anisotropy consideration and spatially varying undrained shear strength by using random field theory coupled with finite difference numerical analysis to evaluate their effect on the bearing capacity of the shallow foundations. In t...
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The bearing capacity of strip footings on unsaturated soils is studied using slip line theory. The suction profiles considered are non-uniform with depth and correspond to vertical flow of water by infiltration or evaporation. The slip line theory assumes a plastic equilibrium state of a Mohr-Coulomb soil in which suction influences are included using the effective stress concept. This paper sh...
متن کاملPrediction of Ultimate Bearing Capacity of Shallow Foundations on Cohesionless Soils: An Evolutionary Approach
This study proposes an innovative mathematical formula that uses multigene Genetic Programming (GP), a recently developed soft computing technique, to predict the ultimate bearing capacity of shallow foundations on cohesionless soils. The real performance of previously developed approaches is also investigated. The multigene GP-based formula was calibrated and validated using an experimental da...
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Determining the ultimate bearing capacity (UBC) is vital for design of shallow foundations. Recently, soft computing methods (i.e. artificial neural networks and support vector machines) have been used for this purpose. In this paper, Random Forest (RF) is utilized as a tree-based ensemble classifier for predicting the UBC of shallow foundations on cohesionless soils. The inputs of model are wi...
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ژورنال
عنوان ژورنال: Advances in Civil Engineering
سال: 2020
ISSN: 1687-8086,1687-8094
DOI: 10.1155/2020/8854552