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dc.contributor.advisorOle S. Madsen.en_US
dc.contributor.authorHerrmann, Julie Marine, 1977-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.date.accessioned2005-09-26T19:38:39Z
dc.date.available2005-09-26T19:38:39Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28298
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 149-152).en_US
dc.description.abstract(cont.) An examination of the effects of uncertainty in the predictive capability of our model reveals that this overshadows the slight improvement resulting from accounting for stratification. Finally, our stratification model appears to be nearly equivalent to making von Karman's constant a variable as done in the earliest attempts to account for stratification in sediment-laden flows.en_US
dc.description.abstractSediment-induced stratification effects on velocity profiles and sediment concentration distribution in a steady, uniform turbulent flow are examined in this thesis. The early work concerning sediment stratification relates this to von Karman's constant's variability. Subsequent attempts to account for stratification were based on the stratified flow analogy, introducing the parameters α and β, whose values were assumed to be those obtained for thermally stratified flows. Following these investigators, we assume stratification effects to be expressed through these parameters. We solve the governing equations for velocity and sediment concentration for a parabolic, a simplified linear-constant and an extremely simplified linear neutral eddy viscosity model. Analytically closed form solutions are obtained. The parabolic and linear-constant models' formulae require numerical evaluation of integrals. The linear model provides excellent estimates of velocity and concentration and does not require numerical computation. We run our model against experimental data to obtain the optimal set [α, β]. For neutral conditions, β = 0 by definition, and we obtain α = 1. For stratified conditions the optimal values are α = 0.8 and β = 4.0. Accounting for stratification slightly improves the prediction of velocity and concentration in comparison with the case where we do not account for it. For predictive purposes, we need to know the movable bed roughness and the reference concentration. Analyses of experimental data sets provide predictive relationships for reference concentration and movable bed roughness in terms of sediment and flow parameters.en_US
dc.description.statementofresponsibilityby Julie Marine Herrmann.en_US
dc.format.extent152 p.en_US
dc.format.extent6031433 bytes
dc.format.extent6051737 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectCivil and Environmental Engineering.en_US
dc.titleEffect of stratification due to suspended sediment on velocity and concentration distribution in turbulent flowsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc55589638en_US


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