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dc.contributor.authorKawale, Sujay J.en_US
dc.date.accessioned2014-03-14T20:31:48Z
dc.date.available2014-03-14T20:31:48Z
dc.date.issued2010-02-02en_US
dc.identifier.otheretd-02152011-141949en_US
dc.identifier.urihttp://hdl.handle.net/10919/31241
dc.description.abstractThe accuracy of computer-based ground vehicle durability and ride quality simulations depends on accurate representation of road surface topology as an excitation to vehicle dynamics simulation software, since most of the excitation input to a vehicle as it traverses terrain is provided by the surface topology. It is not computationally efficient to utilise physically measured terrain topology for these simulations since extremely large data sets would be required to represent terrain of all desired types. Moreover, performing repeated simulations on the same set of measured data would not provide a random character typical of real world usage. There exist several methods of synthesising terrain data through the use of stochastic or mathematical models in order to capture such physical properties of measured terrain as roughness, bank angle and grade. In first part of this work, the autoregressive model and the Markov chain model have been applied to generate synthetic two-dimensional terrain profiles. The synthesised terrain profiles generated are expected to capture the statistical properties of the measured data. A methodology is then proposed; to assess the performance of these models of terrain in capturing the statistical properties of the measured terrain. This is done through the application of several statistical property tests to the measured and synthesized terrain profiles. The second part of this work describes the procedure that has been followed to assess the performance of these models in capturing the vehicle component fatigue-inducing characteristics of the measured terrain, by predicting suspension component fatigue life based on the loading conditions obtained from the measured terrain and the corresponding synthesized terrain. The terrain model assessment methodology presented in this work can be applied to any model of terrain, serving to identify which terrain models are suited to which type of terrain.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartKAWALE_SJ_T_2011.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectautoregressiveen_US
dc.subjectterrain modellingen_US
dc.subjectdurabilityen_US
dc.subjectMarkov chainen_US
dc.subjectfatigue analysisen_US
dc.titleImplication of Terrain Topology Modelling on Ground Vehicle Reliabilityen_US
dc.typeThesisen_US
dc.contributor.departmentMechanical Engineeringen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
dc.contributor.committeechairFerris, John B.en_US
dc.contributor.committeememberWest, Robert L. Jr.en_US
dc.contributor.committeememberTaheri, Saieden_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02152011-141949/en_US
dc.date.sdate2011-02-15en_US
dc.date.rdate2011-03-14
dc.date.adate2011-03-14en_US


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