Spanos, Pol D.2011-07-252011-07-252009Robledo 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>.https://hdl.handle.net/1911/61852A 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.application/pdfengCopyright 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.Automotive engineeringMechanical engineeringA stochastic approach to motorcycle dynamicsThesisTHESIS M.E. 2009 ROBLEDO RICARDO