Bearing capacity of thin-walled shallow foundations: an experimental and artificial intelligence-based study
نویسندگان
چکیده
منابع مشابه
Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Random Forest Based Approach
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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Skirted foundations are an appropriate alternative to deep foundations in onshore and offshore structures, which have the ability to withstand uplift loads, are also easy to be installed. The tensile performance of skirted foundations on sand was studied by physical and numerical modeling. Laboratory tests were carried out on small-scale foundation models with peripheral skirts. Numerical model...
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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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ژورنال
عنوان ژورنال: Journal of Zhejiang University-SCIENCE A
سال: 2016
ISSN: 1673-565X,1862-1775
DOI: 10.1631/jzus.a1500033