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Conference object . 2023
License: CC BY
Data sources: ZENODO
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Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Reliability analysis of bearing capacity of a shallow foundation using Monte Carlo simulation

Authors: Nalmpant Sarikaki, Dafni M.; Theocharis, Alexandros I.; Koukouzas, Nikolaos C.; Zevgolis, Ioannis E.;

Reliability analysis of bearing capacity of a shallow foundation using Monte Carlo simulation

Abstract

Geotechnical projects include an inherent design uncertainty due to the nature of the soil. The main sources of uncertainty refer to the accuracy and completeness of the knowledge of the subsurface conditions and the materials' properties and resistances that will be mobilized under various loads. This work systematically analyzes the effect of the uncertainty in geotechnical properties on the calculation of the soil's bearing capacity for a shallow foundation of a strip footing. The Monte Carlo method was employed for the reliability analysis as well as three widely used commercial probabilistic and reliability analysis software.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green