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dc.contributor.advisorHead, Monique H.
dc.creatorNguyendinh, Hai
dc.date.accessioned2011-08-08T22:48:42Z
dc.date.accessioned2011-08-09T01:32:25Z
dc.date.available2011-08-08T22:48:42Z
dc.date.available2011-08-09T01:32:25Z
dc.date.created2011-05
dc.date.issued2011-08-08
dc.date.submittedMay 2011
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9460
dc.description.abstractA nonlinear automated parameter fitted analytical model that numerically predicts the load-displacement response of wood frame shear walls subjected to static monotonic loading with and without vertical load is presented. This analytical model referred to as Analytical Model of wood frame SHEar walls subjected to Vertical load (AMSHEV) is based on the kinematic behavior of wood frame shear walls and captures significant characteristics observed from experimental testing through appropriate modeling of three failure mechanisms that can occur within a shear wall under static monotonic load: 1) failure of sheathing-to-framing connectors, 2) failure of vertical studs, and 3) uplift of end studs from bottom sill. Previous models have not accounted for these failure mechanisms as well as the inclusion of vertical load, which has shown to reveal beneficial effects such as increasing the ultimate load capacity and limiting uplift of the wall as noted in experimental tests. Results from the proposed numerical model capture these effects within 7% error of experimental test data even when different magnitudes of vertical load are applied to predict the ultimate load capacity of wood frame shear walls.en
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectNumerical modelingen
dc.subjectfailure mechanisms of wood frame shear wallsen
dc.subjectfinite element modelingen
dc.subjectvertical loaden
dc.subjectultimate load capacityen
dc.titleAnalytical Modeling of Wood Frame Shear Walls Subjected to Vertical Loaden
dc.typeThesisen
thesis.degree.departmentCivil Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberBarroso, Luciana R.
dc.contributor.committeeMemberReddy, Junathala N.
dc.type.genrethesisen
dc.type.materialtexten


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