A stochastic approach to motorcycle dynamics

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dc.contributor.advisorSpanos, Pol D.en_US
dc.creatorRobledo Ricardo, Luis Alejandroen_US
dc.date.accessioned2011-07-25T01:38:43Zen_US
dc.date.available2011-07-25T01:38:43Zen_US
dc.date.issued2009en_US
dc.description.abstractA study on the applicability of the Monte Carlo method in the analysis of the dynamical behavior of motorcycles subject to road excitation is presented. To this end, a time-domain numerical simulation of the response of a motorcycle modeled as a linear four-degree-of-freedom (4-DOF) system, and traveling at constant speed is carried out. To validate the accuracy of the solutions obtained, the linear 4-DOF model is also analyzed using the frequency domain approach. Although the Monte Carlo simulation can be computationally costly, it provides an excellent scheme of analyzing, as well, non-linear systems, in which case the frequency domain approach cannot be applied. In this context the applicability of auto-regressive (AR) and autoregressive-moving-average (ARMA) filters for efficient implementation of the Monte Carlo simulation is pointed out. Furthermore, a practical engineering approach is presented for improved road roughness power spectral density (PSD) representation, and statistical parameters of the excitation signals synthesized.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS M.E. 2009 ROBLEDO RICARDOen_US
dc.identifier.citationRobledo Ricardo, Luis Alejandro. "A stochastic approach to motorcycle dynamics." (2009) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/61852">https://hdl.handle.net/1911/61852</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/61852en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectAutomotive engineeringen_US
dc.subjectMechanical engineeringen_US
dc.titleA stochastic approach to motorcycle dynamicsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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