Settlement predictions of footings on sands using probabilistic analysis

The design of footings on sands is often controlled by settlement rather than bearing capacity. Therefore, settlement predictions are essential in the design of shallow foundations. However, predicted settlements of footings are highly dependent on the chosen elastic modulus and the used method. Thi...

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Main Authors: Felipe Carvalho Bungenstab, Kátia Vanessa Bicalho
Format: Article
Language:English
Published: Elsevier 2016-04-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775515001377
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spelling doaj-f073427bf45d4456b35795b8cf6982ea2020-11-24T23:17:51ZengElsevierJournal of Rock Mechanics and Geotechnical Engineering1674-77552016-04-018219820310.1016/j.jrmge.2015.08.009Settlement predictions of footings on sands using probabilistic analysisFelipe Carvalho BungenstabKátia Vanessa BicalhoThe design of footings on sands is often controlled by settlement rather than bearing capacity. Therefore, settlement predictions are essential in the design of shallow foundations. However, predicted settlements of footings are highly dependent on the chosen elastic modulus and the used method. This paper presents the use of probabilistic analysis to evaluate the variability of predicted settlements of footings on sands, focusing on the load curve (predicted settlements) characterization. Three methodologies, the first- and second-order second-moment (FOSM and SOSM), and Monte Carlo simulation (MCS), for calculating the mean and variance of the estimated settlements through Schmertmann (1970)'s equation, are presented and discussed. The soil beneath the footing is treated as an uncorrelated layered material, so the total settlement and variance are found by adding up the increments of the layers. The deformability modulus (ESi) is considered as the only independent random variable. As an example of application, a hypothetical case of a typical subsoil in the state of Espirito Santo, southeast of Brazil, is evaluated. The results indicate that there is a significant similarity between the SOSM and MCS methods, while the FOSM method underestimates the results due to the non-consideration of the high-order terms in Taylor's series. The contribution of the knowledge of the uncertainties in settlement prediction can provide a safer design.http://www.sciencedirect.com/science/article/pii/S1674775515001377FootingsSettlementsProbabilitiesDeformability modulus
collection DOAJ
language English
format Article
sources DOAJ
author Felipe Carvalho Bungenstab
Kátia Vanessa Bicalho
spellingShingle Felipe Carvalho Bungenstab
Kátia Vanessa Bicalho
Settlement predictions of footings on sands using probabilistic analysis
Journal of Rock Mechanics and Geotechnical Engineering
Footings
Settlements
Probabilities
Deformability modulus
author_facet Felipe Carvalho Bungenstab
Kátia Vanessa Bicalho
author_sort Felipe Carvalho Bungenstab
title Settlement predictions of footings on sands using probabilistic analysis
title_short Settlement predictions of footings on sands using probabilistic analysis
title_full Settlement predictions of footings on sands using probabilistic analysis
title_fullStr Settlement predictions of footings on sands using probabilistic analysis
title_full_unstemmed Settlement predictions of footings on sands using probabilistic analysis
title_sort settlement predictions of footings on sands using probabilistic analysis
publisher Elsevier
series Journal of Rock Mechanics and Geotechnical Engineering
issn 1674-7755
publishDate 2016-04-01
description The design of footings on sands is often controlled by settlement rather than bearing capacity. Therefore, settlement predictions are essential in the design of shallow foundations. However, predicted settlements of footings are highly dependent on the chosen elastic modulus and the used method. This paper presents the use of probabilistic analysis to evaluate the variability of predicted settlements of footings on sands, focusing on the load curve (predicted settlements) characterization. Three methodologies, the first- and second-order second-moment (FOSM and SOSM), and Monte Carlo simulation (MCS), for calculating the mean and variance of the estimated settlements through Schmertmann (1970)'s equation, are presented and discussed. The soil beneath the footing is treated as an uncorrelated layered material, so the total settlement and variance are found by adding up the increments of the layers. The deformability modulus (ESi) is considered as the only independent random variable. As an example of application, a hypothetical case of a typical subsoil in the state of Espirito Santo, southeast of Brazil, is evaluated. The results indicate that there is a significant similarity between the SOSM and MCS methods, while the FOSM method underestimates the results due to the non-consideration of the high-order terms in Taylor's series. The contribution of the knowledge of the uncertainties in settlement prediction can provide a safer design.
topic Footings
Settlements
Probabilities
Deformability modulus
url http://www.sciencedirect.com/science/article/pii/S1674775515001377
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