In the general case this equation possesses three different roots (
) at fixed values of and . Graphically, these solutions are represented by a set of points occupied the three surfaces . Their intersections with a plane passing the axis of frequencies are given by fig.(1). Any natural frequency corresponds to the three-dimensional vector of amplitudes . The components of this vector should be proportional values, e.g. , where the ratiosand
are obeyed to the orthogonality conditions
as
.Assume that
, then the linearized subset of eqs.(1)-(2) describes planar oscillations in a thin ring. The low-frequency branch corresponding generally to bending waves is approximated by and , while the high-frequency azimuthal branch — and . The bending and azimuthal modes are uncoupled with the shear modes. The shear modes are polarized in the longitudinal direction and characterized by the exact dispersion relation .Consider now axisymmetric waves (as
). The axisymmetric shear waves are polarized by azimuth: , while the other two modes are uncoupled with the shear mode. These high- and low-frequency branches are defined by the following biquadratic equation .At the vicinity of
the high-frequency branch is approximated by ,while the low-frequency branch is given by
.Let
, then the high-frequency asymptotic be ,while the low-frequency asymptotic:
.When neglecting the in-plane inertia of elastic waves, the governing equations (1)-(2) can be reduced to the following set (the Karman model):
(5)
Here
and are the differential operators; denotes the Airy stress function defined by the relations , and , where , while , and stand for the components of the stress tensor. The linearized subset of eqs.(5), at , is represented by a single equationdefining a single variable
, whose solutions satisfy the following dispersion relation(6)
Notice that the expression (6) is a good approximation of the low-frequency branch defined by (4).
If
, then the ansatz (3) to the eqs.(1)-(2) can lead at large times and spatial distances, , to a lack of the same order that the linearized solutions are themselves. To compensate this defect, let us suppose that the amplitudes be now the slowly varying functions of independent coordinates , and , although the ansatz to the nonlinear governing equations conserves formally the same form (3):Obviously, both the slow
and the fast spatio-temporal scales appear in the problem. The structure of the fast scales is fixed by the fast rotating phases ( ), while the dependence of amplitudes upon the slow variables is unknown.This dependence is defined by the evolution equations describing the slow spatio-temporal modulation of complex amplitudes.
There are many routs to obtain the evolution equations. Let us consider a technique based on the Lagrangian variational procedure. We pass from the density of Lagrangian function
to its average value(7)
,An advantage of the transform (7) is that the average Lagrangian depends only upon the slowly varying complex amplitudes and their derivatives on the slow spatio-temporal scales
, and . In turn, the average Lagrangian does not depend upon the fast variables.The average Lagrangian
can be formally represented as power series in :(8)
At
the average Lagrangian (8) readswhere the coefficient
coincides exactly with the dispersion relation (3). This means that .The first-order approximation average Lagrangian
depends upon the slowly varying complex amplitudes and their first derivatives on the slow spatio-temporal scales , and . The corresponding evolution equations have the following form(9)
Notice that the second-order approximation evolution equations cannot be directly obtained using the formal expansion of the average Lagrangian
, since some corrections of the term are necessary. These corrections are resulted from unknown additional terms of order , which should generalize the ansatz (3):