Global sensitivity methods in engineering analysis

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dc.contributor.advisorMillwater, Harry
dc.contributor.authorCortina Ponton, Miguel Enrique
dc.contributor.committeeMemberManteufel, Randall
dc.contributor.committeeMemberFoster, John
dc.date.accessioned2024-02-09T20:18:38Z
dc.date.available2024-02-09T20:18:38Z
dc.date.issued2012
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractSensitivity Analysis (SA) can be considered as the study of the effects of the input variables over the output of a model. It can be used to identify the critical variables in a process and make decisions based on this information. There are several methods available in the literature for sensitivity analysis. These methods can be classified in three major groups: local methods, global methods and screening methods. Global sensitivity analysis (GSA) quantifies the effect of a variable in a model based on its contribution to the total variance of the model. The methodology and properties of GSA were studied using some academic examples and the results obtained were compared with the results provided by other sensitivity methods. The sensitivity methods studied were also applied to two realistic applications: sensitivity analysis of risk assessment in a general aviation problem and sensitivity analysis of a laser peening process to improve the fatigue life in a turbine disk. The results of the sensitivity methods in all the cases were consistent.
dc.description.departmentMechanical Engineering
dc.format.extent133 pages
dc.format.mimetypeapplication/pdf
dc.identifier.isbn9781267615268
dc.identifier.urihttps://hdl.handle.net/20.500.12588/3099
dc.languageen
dc.subjectGlobal sensitivity
dc.subjectLaser peening
dc.subjectSensitivity analysis
dc.subjectSMART
dc.subject.classificationMechanical engineering
dc.subject.classificationEngineering
dc.titleGlobal sensitivity methods in engineering analysis
dc.typeThesis
dc.type.dcmiText
dcterms.accessRightspq_closed
thesis.degree.departmentMechanical Engineering
thesis.degree.grantorUniversity of Texas at San Antonio
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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