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Herbert H. Einstein. Donohue, Catherine, M. Eng. Massachusetts Institute of Technology Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering 2013-12-06T20:45:07Z 2013-12-06T20:45:07Z 2013 2013 http://hdl.handle.net/1721.1/82811 862809648 Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 79-81). Minimizing the uncertainty in predicting the critical gradient of a dam (i.e. the critical reservoir pool level) is important during the risk analysis of dams. Uncertainty leads to inexact relative risk in portfolio management; therefore it is essential to get as accurate a risk estimation as possible for each project in a portfolio. To understand the uncertainty inherent in the predictive methodologies, this thesis sets out to compare the two most commonly used predictive methodologies, Sellmeijer and Schmertmann, in the USACE portfolio in order to make a suggestion of when to use which. Both methodologies have been calibrated for a small range of ideal soil characteristics that may not reflect of existing conditions of the portfolio. This thesis concludes with the recommendation to broaden the range of applicability through additional experiments that include anisotropic conditions. by Catherine Donohue. M.Eng. 103 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Civil and Environmental Engineering. Critical gradient for internal erosion in earthen d ams : a comparative analysis of two predictive methodologies Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="344a2434-ba43-4cfc-b39d-4cca2a13ac5a"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Critical gradient for internal erosion in earthen d ams : a comparative analysis of two predictive methodologies</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2013</PublicationDate> <Authors> <Author> <DisplayName>Donohue, Catherine, M. Eng. Massachusetts Institute of Technology</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Civil and Environmental Engineering.</Keyword> <Abstract>Minimizing the uncertainty in predicting the critical gradient of a dam (i.e. the critical reservoir pool level) is important during the risk analysis of dams. Uncertainty leads to inexact relative risk in portfolio management; therefore it is essential to get as accurate a risk estimation as possible for each project in a portfolio. To understand the uncertainty inherent in the predictive methodologies, this thesis sets out to compare the two most commonly used predictive methodologies, Sellmeijer and Schmertmann, in the USACE portfolio in order to make a suggestion of when to use which. Both methodologies have been calibrated for a small range of ideal soil characteristics that may not reflect of existing conditions of the portfolio. This thesis concludes with the recommendation to broaden the range of applicability through additional experiments that include anisotropic conditions.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>