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Nonlinear multiwave coupling and resonance in elastic structures
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Nonlinear multiwave coupling and resonance in elastic structures
Kovriguine DASolutions to the evolution equations describing the phase and amplitude modulation of nonlinear waves are physically interpreted basing on the law of energy conservation. An algorithm reducing the governing nonlinear partial differential equations to their normal form is considered. The occurrence of resonance at the expense of nonlinear multiwave coupling is discussed.IntroductionThe principles of nonlinear multimode coupling were first recognized almost two century ago for various mechanical systems due to experimental and theoretical works of Faraday (1831), Melde (1859) and Lord Rayleigh (1883, 1887). Before First World War similar ideas developed in radiotelephone devices. After Second World War many novel technical applications appeared, including highfrequency electronic devices, nonlinear optics, acoustics, oceanology and plasma physics, etc. For instance, see [1] and also references therein. A nice historical sketch to this topic can be found in the review [2]. In this paper we try to trace relationships between the resonance and the dynamical stability of elastic structures.Evolution equationsConsider a natural quasilinear mechanical system with distributed parameters. Let motion be described by the following partial differential equations(0) ,where denotes the complex dimensional vector of a solution; and are the linear differential operator matrices characterizing the inertia and the stuffiness, respectively; is the dimensional vector of a weak nonlinearity, since a parameter is small The small parameter can also characterize an amount of small damped forced and/or parametric excitation, etc. ^{}; stands for the spatial differential operator. Any time the sought variables of this system are referred to the spatial Lagrangian coordinates .Assume that the motion is defined by the Lagrangian . Suppose that at the degenerated Lagrangian produces the linearized equations of motion. So, any linear field solution is represented as a superposition of normal harmonics:.Here denotes a complex vector of wave amplitudes The discrete part of the spectrum can be represented as a sum of deltafunctions, i.e. .^{}; are the fast rotating wave phases; stands for the complex conjugate of the preceding terms. The natural frequencies and the corresponding wave vectors are coupled by the dispersion relation . At small values of , a solution to the nonlinear equations would be formally defined as above, unless spatial and temporal variations of wave amplitudes . Physically, the spectral description in terms of new coordinates , instead of the field variables , is emphasized by the appearance of new spatiotemporal scales associated both with fast motions and slowly evolving dynamical processes.This paper deals with the evolution dynamical processes in nonlinear mechanical Lagrangian systems. To understand clearly the nature of the governing evolution equations, we introduce the Hamiltonian function , where . Analogously, the degenerated Hamiltonian yields the linearized equations. The amplitudes of the linear field solution (interpreted as integration constants at ) should thus satisfy the following relation , where stands for the LiePoisson brackets with appropriate definition of the functional derivatives. In turn, at , the complex amplitudes are slowly varying functions such that . This means that(1) and ,where the difference can be interpreted as the free energy of the system. So that, if the scalar , then the nonlinear dynamical structure can be spontaneous one, otherwise the system requires some portion of energy to create a structure at , while represents some indifferent case.Note that the set (1) can be formally rewritten as(2) , where is a vector function. Using the polar coordinates , eqs. (2) read the following standard form(3) ; ,where . In most practical problems the vector function appears as a power series in . This allows one to apply procedures of the normal transformations and the asymptotic methods of investigations.Parametric approachAs an illustrative example we consider the socalled BernoulliEuler model governing the motion of a thin bar, according the following equations [3]:(4) with the boundary conditionsBy scaling the sought variables: and , eqs. (4) are reduced to a standard form (0). Notice that the validity range of the model is associated with the wave velocities that should not exceed at least the characteristic speed . In the case of infinitesimal oscillations this set represents two uncoupled linear differential equations. Let , then the linearized equation for longitudinal displacements possesses a simple wave solution,where the frequencies are coupled with the wave numbers through the dispersion relation . Notice that . In turn, the linearized equation for bending oscillations reads The resonance appears in the system as that corresponds to any integer number of quarters of wavelengths. There is no stationary solution in the form of standing waves in this case, though the resonant solution for longitudinal waves can be simply designed using the d'Alambert approach.^{}(5) .As one can see the righthand term in eq. (5) contains a spatiotemporal parameter in the form of a standing wave. Allowances for the this wavelike parametric excitation become principal, if the typical velocity of longitudinal waves is comparable with the group velocities of bending waves, otherwise one can restrict consideration, formally assuming that or , to the following simplest model:(6) ,which takes into account the temporal parametric excitation only.We can look for solutions to eq. (5), using the BubnovGalerkin procedure:,where denote the wave numbers of bending waves; are the wave amplitudes defined by the ordinary differential equations(7) .Herestands for a coefficient containing parameters of the wavenumber detuning: , which, in turn, cannot be zeroes; are the cyclic frequencies of bending oscillations at ; denote the critical values of Euler forces.Equations (7) describe the early evolution of waves at the expense of multimode parametric interaction. There is a key question on the correlation between phase orbits of the system (7) and the corresponding linearized subset(8) ,which results from eqs. (7) at . In other words, how effective is the dynamical response of the system (7) to the small parametric excitation?First, we rewrite the set (7) in the equivalent matrix form: , where is the vector of solution, denotes the matrix of eigenvalues, is the matrix with quasiperiodic components at the basic frequencies . Following a standard method of the theory of ordinary differential equations, we look for a solution to eqs. (7) in the same form as to eqs. (8), where the integration constants should to be interpreted as new sought variables, for instance , where is the vector of the nontrivial oscillatory solution to the uniform equations (8), characterized by the set of basic exponents . By substituting the ansatz into eqs. (7), we obtain the firstorder approximation equations in order :.where the righthand terms are a superposition of quasiperiodic functions at the combinational frequencies . Thus the firstorder approximation solution to eqs. (7) should be a finite quasiperiodic function^{ }The conservation of quasiperiodic orbits represents a forthcoming mathematical problem in mathematics, which is in progress up to now [4].^{}, when the combinations ; otherwise, the problem of small divisors (resonances) appears.So, one can continue the asymptotic procedure in the nonresonant case, i. e. , to define the higherorder correction to solution Practically, the resonant properties should be directly associated with the order of the approximation procedure. For instance, if the firstorder approximation is considered, then the resonances in order have to be neglected.^{}. In other words, the dynamical perturbations of the system are of the same order as the parametric excitation. In the case of resonance the solution to eqs. (7) cannot be represented as convergent series in . This means that the dynamical response of the system can be highly effective even at the small parametric excitation.In a particular case of the external force , eqs. (7) can be highly simplified:(9) provided a couple of bending waves, having the wave numbers and , produces both a small wavenumber detuning (i. e. ) and a small frequency detuning (i. e. ). Here the symbols denote the higherorder terms of order , since the values of and are also supposed to be small. Thus, the expressions; can be interpreted as the phase matching conditions creating a triad of waves consisting of the primary highfrequency longitudinal wave, directly excited by the external force , and the two secondary lowfrequency bending waves parametrically excited by the standing longitudinal wave.Notice that in the limiting model (6) the corresponding set of amplitude equations is reduced just to the single pendulumtype equation frequently used in many applications:It is known that this equation can possess unstable solutions at small values of and . Solutions to eqs. (7) can be found using iterative methods of slowly varying phases and amplitudes:(10) ; ,where and are new unknown coordinates. By substituting this into eqs. (9), we obtain the firstorder approximation equations(11) ; ,where is the coefficient of the parametric excitation; is the generalized phase governed by the following differential equation.Equations (10) and (11), being of a Hamiltonian structure, possess the two evident first integrals and ,which allows one to integrate the system analytically. At , there exist quasiharmonic stationary solutions to eqs. (10), (11), as,which forms the boundaries in the space of system parameters within the first zone of the parametric instability.From the physical viewpoint, one can see that the parametric excitation of bending waves appears as a degenerated case of nonlinear wave interactions. It means that the study of resonant properties in nonlinear elastic systems is of primary importance to understand the nature of dynamical instability, even considering free nonlinear oscillations.Normal formsThe linear subset of eqs. (0) describes a superposition of harmonic waves characterized by the dispersion relation,where refer the branches of the natural frequencies depending upon wave vectors . The spectrum of the wave vectors and the eigenfrequencies can be both continuous and discrete one that finally depends upon the boundary and initial conditions of the problem. The normalization of the first order, through a special invertible linear transformleads to the following linearly uncoupled equations,where the matrix is composed by dimensional polarization eigenvectors defined by the characteristic equation; is the diagonal matrix of differential operators with eigenvalues ; and are reverse matrices. The linearly uncoupled equations can be rewritten in an equivalent matrix form [5](12) and ,using the complex variables . Here is the unity matrix. Here is the dimensional vector of nonlinear terms analytical at the origin . So, this can be presented as a series in , i. e.,where are the vectors of homogeneous polynomials of degree , e. g.Here and are some given differential operators. Together with the system (12), we consider the corresponding linearized subset(13) and ,whose analytical solutions can be written immediately as a superposition of harmonic waves,where are constant complex amplitudes; is the number of normal waves of the th type, so that (for instance, if the operator is a polynomial, then , where is a scalar, is a constant vector, is some differentiable function. For more detail see [6]).A question is following. What is the difference between these two systems, or in other words, how the small nonlinearity is effective?According to a method of normal forms (see for example [7,8]), we look for a solution to eqs. (12) in the form of a quasiautomorphism, i. e.(14) where denotes an unknown dimensional vector function, whose components can be represented as formal power series in , i. e. a quasibilinear form:(15) ,for examplewhere and are unknown coefficients which have to be determined.By substituting the transform (14) into eqs. (12), we obtain the following partial differential equations to define :(16) .It is obvious that the eigenvalues of the operator acting on the polynomial components of (i. e. ) are the linear integervalued combinational values of the operator given at various arguments of the wave vector .In the lowestorder approximation in eqs. (16) read.The polynomial components of are associated with their eigenvalues , i. e. , where or ,while in the lowerorder approximation in .So, if at least the one eigenvalue of approaches zero, then the corresponding coefficient of the transform (15) tends to infinity. Otherwise, if , then represents the lowest term of a formal expansion in .Analogously, in the secondorder approximation in :the eigenvalues of can be written in the same manner, i. e. , where , etc.By continuing the similar formal iterations one can define the transform (15). Thus, the sets (12) and (13), even in the absence of eigenvalues equal to zeroes, are associated with formally equivalent dynamical systems, since the function can be a divergent function. If is an analytical function, then these systems are analytically equivalent. Otherwise, if the eigenvalue in the order approximation, then eqs. (12) cannot be simply reduced to eqs. (13), since the system (12) experiences a resonance.For example, the most important 3order resonances includetriplewave resonant processes, when and ;generation of the second harmonic, as and .The most important 4order resonant cases are the following:fourwave resonant processes, when ; (interaction of two wave couples); or when and (breakup of the highfrequency mode into tree waves);degenerated triplewave resonant processes at and ;generation of the third harmonic, as and .These resonances are mainly characterized by the amplitude modulation, the depth of which increases as the phase detuning approaches to some constant (e. g. to zero, if consider 3order resonances). The waves satisfying the phase matching conditions form the socalled resonant ensembles.Finally, in the secondorder approximation, the socalled “nonresonant" interactions always take place. The phase matching conditions read the following degenerated expressionscrossinteractions of a wave pair at and ;selfaction of a single wave as and .Nonresonant coupling is characterized as a rule by a phase modulation.The principal proposition of this section is following. If any nonlinear system (12) does not have any resonance, beginning from the order up to the order , then the nonlinearity produces just small corrections to the linear field solutions. These corrections are of the same order that an amount of the nonlinearity up to times .To obtain a formal transform (15) in the resonant case, one should revise a structure of the set (13) by modifying its righthand side:(16) ; ,where the nonlinear terms . Here are the uniform th order polynomials. These should consist of the resonant terms only. In this case the eqs. (16) are associated with the socalled normal forms.RemarksIn practice the series are usually truncated up to first  or secondorder terms in .The theory of normal forms can be simply generalized in the case of the socalled essentially nonlinear systems, since the small parameter can be omitted in the expressions (12)  (16) without changes in the main result. The operator can depend also upon the spatial variables .Formally, the eigenvalues of operator can be arbitrary complex numbers. This means that the resonances can be defined and classified even in appropriate nonlinear systems that should not be oscillatory one (e. g. in the case of evolution equations).Resonance in multifrequency systemsThe resonance plays a principal role in the dynamical behavior of most physical systems. Intuitively, the resonance is associated with a particular case of a forced excitation of a linear oscillatory system. The excitation is accompanied with a more or less fast amplitude growth, as the natural frequency of the oscillatory system coincides with (or sufficiently close to) that of external harmonic force. In turn, in the case of the socalled parametric resonance one should refer to some kind of comparativeness between the natural frequency and the frequency of the parametric excitation. So that, the resonances can be simply classified, according to the above outlined scheme, by their order, beginning from the number first , if include in consideration both linear and nonlinear, oscillatory and nonoscillatory dynamical systems.For a broad class of mechanical systems with stationary boundary conditions, a mathematical definition of the resonance follows from consideration of the average functions(17) , as ,where are the complex constants related to the linearized solution of the evolution equations (13); denotes the whole spatial volume occupied by the system. If the function has a jump at some given eigen values of and , then the system should be classified as resonant one In applied problems the definition of resonance should be directly associated with the order of the approximation procedure. For instance, if the firstorder approximation is considered, then the jupms of of order have to be neglected [9].^{}. It is obvious that we confirm the main result of the theory of normal forms. The resonance takes place provided the phase matching conditions and .are satisfied. Here is a number of resonantly interacting quasiharmonic waves; are some integer numbers ; and are small detuning parameters. Example 1. Consider linear transverse oscillations of a thin beam subject to small forced and parametric excitations according to the following governing equation,where , , , , , и are some appropriate constants, . This equation can be rewritten in a standard form,where , , . At , a solution this equation reads , where the natural frequency satisfies the dispersion relation . If , then slow variations of amplitude satisfy the following equationwhere , denotes the group velocity of the amplitude envelope. By averaging the righthand part of this equation according to (17), we obtain, at ;, at and ; in any other case.Notice, if the eigen value of approaches zero, then the firstorder resonance always appears in the system (this corresponds to the critical Euler force).The resonant properties in most mechanical systems with timedepending boundary conditions cannot be diagnosed by using the function .Example 2. Consider the equations (4) with the boundary conditions ; ; . By reducing this system to a standard form and then applying the formula (17), one can define a jump of the function provided the phase matching conditions и .are satisfied. At the same time the firstorder resonance, experienced by the longitudinal wave at the frequency , cannot be automatically predicted.References1. Nelson DF, (1979), Electric, Optic and Acoustic Interactions in Dielectrics, WileyInterscience, NY.
2. Kaup P. J., Reiman A. and Bers A. Spacetime evolution of nonlinear threewave interactions. Interactions in a homogeneous medium, Rev. of Modern Phys., (1979) 51 (2), 275309.
3. Kauderer H (1958), Nichtlineare Mechanik, Springer, Berlin.
4. Haken H. (1983), Advanced Synergetics. Instability Hierarchies of SelfOrganizing Systems and devices, Berlin, SpringerVerlag.
5. Kovriguine DA, Potapov AI (1996), Nonlinear wave dynamics of 1D elastic structures, Izvestiya vuzov. Appl. Nonlinear Dynamics, 4 (2), 72102 (in Russian).
6. Maslov VP (1973), Operator methods, Moscow, Nauka publisher (in Russian).
7. Jezequel L., Lamarque C.  H. Analysis of nonlinear dynamical systems by the normal form theory, J. of Sound and Vibrations, (1991) 149 (3), 429459.
8. Pellicano F, Amabili M. and Vakakis AF (2000), Nonlinear vibration and multiple resonances of fluidfilled, circular shells, Part 2: Perturbation analysis, Vibration and Acoustics, 122, 355364.
9. Zhuravlev VF and Klimov DM (1988), Applied methods in the theory of oscillations, Moscow, Nauka publisher (in Russian)
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