
Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Three methods for obtaining the quasi-linear damping coefficient in nonlinear systems. The first approach involves finding the optimal linear approximation of the nonlinear damping term. The second approach is referred to as equivalent linearization, where equation (4.5) is presented without the underlying orthonormal series. The third approach considers the power dissipation rates under linear and nonlinear damping. The document also mentions the implications of using a nonlinear damping function of velocity and the corresponding functional series and cross-correlation approach.
Typology: Assignments
1 / 1
This page cannot be seen from the preview
Don't miss anything!

so that ceqe=a 1 is the optimal linear approximation. Equation (4.5) is often presented without reference to the underlying orthonormal series, as in [ 32 ], where the method is referred to as equivalent linearization. As an aside, it can be noted that if the nonlinear damping is a function of the velocity, rather than an instantaneous, memory-less function, then equation (4.5) would be replaced by a functional series which is analogous to the Wiener series [ 33 ], and equation (4.7) would be replaced by a cross-correlation approach analogous to the Lee–Schetzen algorithm [ 30 ]. The third and final approach to obtaining the quasi-linear damping coefficient is to note that the power dissipation rates under linear and nonlinear damping are, respectively,