Indirect estimation of the ultimate bearing capacity of shallow foundations resting on rock masses
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- @Article{Tajeri:2015:IJRMMS,
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author = "Shervin Tajeri and Ehsan Sadrossadat and
Jafar Bolouri Bazaz",
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title = "Indirect estimation of the ultimate bearing capacity
of shallow foundations resting on rock masses",
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journal = "International Journal of Rock Mechanics and Mining
Sciences",
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volume = "80",
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pages = "107--117",
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year = "2015",
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ISSN = "1365-1609",
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DOI = "doi:10.1016/j.ijrmms.2015.09.015",
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URL = "http://www.sciencedirect.com/science/article/pii/S1365160915300423",
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abstract = "The success of a foundation design for structures is
to precisely estimate the bearing capacity of
underlying soils or rocks. To avoid the elaborate
in-situ experimental methods, several approaches
presented by various researchers for the estimation of
the bearing capacity factor. Despite this fact, there
still exists a serious need to develop more robust
predictive models. The aim of this paper is to propose
a novel formulation for the ultimate bearing capacity
of shallow foundations resting on/in rock masses, using
a powerful evolutionary computational technique, namely
linear genetic programming. Thus, a comprehensive set
of data is collected to develop the model. In order to
evaluate the validity of the obtained model, several
analyses are conducted and compared with those provided
by other researchers. Consequently, the results clearly
demonstrate the proposed model accurately characterize
the bearing capacity factor and reach a notably better
prediction performance than the traditional models.",
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keywords = "genetic algorithms, genetic programming, Rock mass
properties, Ultimate bearing capacity, Shallow
foundation, Evolutionary computation",
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notes = "Department of Civil Engineering, Ferdowsi University
of Technology, Mashhad, Iran",
- }
Genetic Programming entries for
Shervin Tajeri
Ehsan Sadrossadat
Jafar Bolouri Bazaz
Citations