منابع مشابه
DIFFERENT NEURAL NETWORKS AND MODAL TREE METHOD FOR PREDICTING ULTIMATE BEARING CAPACITY OF PILES
The prediction of the ultimate bearing capacity of the pile under axial load is one of the important issues for many researches in the field of geotechnical engineering. In recent years, the use of computational intelligence techniques such as different methods of artificial neural network has been developed in terms of physical and numerical modeling aspects. In this study, a database of 100 p...
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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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The main objective of this study is to propose the Strut-and-Tie method (STM) to predict the shear capacity of simply supported RC deep beams shear-strengthened with carbon fiber reinforced polymers (CFRP). It is assumed that, the total carried shear force by shear-strengthened RC deep beam provided by three independent resistance, namely diagonal concrete strut due to Strut-and-tie mechanism, ...
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The bearing capacity of a single pile in granular soil was analyzed piles under vertical loads in the study of the mechanism of shaft fiiction. The effect of the deformation modulus on the bearing capacity of the single pile in granular materials, and especially in sand, was examined. By using the FLAC program for the finite element analysis it was possible to predict quite accurately the load ...
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ژورنال
عنوان ژورنال: Magazine of Civil Engineering
سال: 2013
ISSN: 2071-4726,2071-0305
DOI: 10.5862/mce.36.8