Persistent Link:
http://hdl.handle.net/10150/276754
Title:
A variable moduli probabilistic constitutive model for soils
Author:
Reed, Philip Edward, 1959-
Issue Date:
1988
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Measurement of stress - strain relationships in soil systems usually incorporate varying degrees of uncertainty. These uncertainties arise from laboratory testing mechanisms, sampling disturbances, errors performed by operators or technicians performing the tests, etc. Currently, deformation analyses have been modeled using several deterministic techniques. However, because of the uncertainties involved, there is a need to adapt these numerical methods into probabilistic models. This thesis develops a probabilistic constitutive model based on a variable moduli deterministic technique. First-order, second-moment stochastic methods are used to estimate a mean stress - strain curve and its ±1 standard deviation from raw data obtained on nearly identical, remolded sand samples. Probabilistic estimations for Bulk and Shear moduli are determined from the estimated mean curves and are used to develop a probabilistic constitutive model. Through the use of a probabilistic constitutive matrix, a stochastic equation is produced which can relate strains to any stress state imposed on a particular soil. This is verified through an example.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Strains and stresses.; Soil dynamics.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Mining and Geological Engineering
Degree Grantor:
University of Arizona
Advisor:
Kulatilake, Pinnaduwa H. S. W.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA variable moduli probabilistic constitutive model for soilsen_US
dc.creatorReed, Philip Edward, 1959-en_US
dc.contributor.authorReed, Philip Edward, 1959-en_US
dc.date.issued1988en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractMeasurement of stress - strain relationships in soil systems usually incorporate varying degrees of uncertainty. These uncertainties arise from laboratory testing mechanisms, sampling disturbances, errors performed by operators or technicians performing the tests, etc. Currently, deformation analyses have been modeled using several deterministic techniques. However, because of the uncertainties involved, there is a need to adapt these numerical methods into probabilistic models. This thesis develops a probabilistic constitutive model based on a variable moduli deterministic technique. First-order, second-moment stochastic methods are used to estimate a mean stress - strain curve and its ±1 standard deviation from raw data obtained on nearly identical, remolded sand samples. Probabilistic estimations for Bulk and Shear moduli are determined from the estimated mean curves and are used to develop a probabilistic constitutive model. Through the use of a probabilistic constitutive matrix, a stochastic equation is produced which can relate strains to any stress state imposed on a particular soil. This is verified through an example.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectStrains and stresses.en_US
dc.subjectSoil dynamics.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineMining and Geological Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorKulatilake, Pinnaduwa H. S. W.en_US
dc.identifier.proquest1334088en_US
dc.identifier.oclc21114141en_US
dc.identifier.bibrecord.b17162464en_US
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