Abstract

This work concerns the response of a damped Mathieu equation with hard cyclic excitation at the same frequency as the parametric excitation. A second-order perturbation analysis using the method of multiple scales unfolds resonances and stability. Superharmonic and subharmonic resonances are analyzed and the effect of different parameters on the responses are examined. While superharmonic resonances of order two have been captured by a first-order analysis, the second-order analysis improves the prediction of the peak frequency. Superharmonic resonances of order three are captured only by the second-order analysis. The order-two superharmonic resonance amplitude is of order ε0, and the order-three superharmonic amplitude is of order ε. As the parametric excitation level increases, the superharmonic resonance amplitudes increase. An nth-order multiple-scales analysis will indicate conditions of superharmonic resonances of order n + 1. At the subharmonic of order one-half, there is no steady-state resonance, but known subharmonic instability is unfolded consistently. Analytical expressions for resonant responses are presented and compared with numerical results for specific system parameters. The behavior of this system could be relevant to applications such as large wind-turbine blades and parametric resonators.

1 Introduction

The forced Mathieu equation can model a variety of physical systems. One example is in the dynamics of large wind-turbine blades [15], for which the parametric excitation comes from the cyclic variation in effective stiffness while the blade rotates through its upright position with gravitational compression and softening, and downward orientation with gravitational tension and stiffening. The direct excitation to in-plane motion comes from gravitational loading toward the leading edge, and later the trailing edge, while rotating through horizontal positions, and the excitation to out-of-plane deflections comes from the cyclic variation in lift force as the blade rotates through large changes in altitude, and hence changes in wind speed and direction due to wind shear.

When linearized, the single-mode projection of the equation of motion for a rotor at steady speed Ω reduces to a forced Mathieu equation,
(1)
where q represents a modal displacement, μ is a damping coefficient, ε is a small parameter, ω is the undamped modal frequency, γ is the strength of variation of the effective stiffness due to gravity, F0 is the mean modal aerodynamic load, and F1 is the strength of aerodynamic and/or gravitational cyclic loading. Indeed, the natural frequency of a rotating wind blade will also involve centripetal effects and depend on Ω2, but this is not a point of emphasis in this resonance study. The phase θ of loading could range from θ = 0 for a purely in-plane model, and θ = π/2 for out-of-plane oscillations. The cyclic stiffening, εγ, may be significant in the wind-turbine application as the wind turbines become extremely large [3,68]. Other examples of modeling wind turbines with parametric excitations include [4,911]. Forced Mathieu systems also show up in other physical problems [1219]. Forced auto-parametric systems with designed degrees-of-freedom based on parametric effects have also been studied [2022].

Equation (1) is linear and the solution can be expressed as a sum of homogeneous and particular solutions, as q = qh + qp, where qh satisfies q¨h+2εμq˙h+(ω2+εγcosΩt)qh=0 and qp satisfies q¨p+2εμq˙p+(ω2+εγcosΩt)qp=F(t).

The qh term exhibits the behavior of the standard Mathieu equation. The regular Mathieu equation is well known to have instability regions in the parametric forcing amplitude-frequency parameter space, such that the fixed point at the origin can be stable or unstable depending on system parameters [2325]. For lightly damped cases, these regions of instability are based near frequency ratios Ω/ω = 2/N, N being a positive integer. The dependence of the instability regions on the strength of damping has also been explored [26], as have transient response characteristics [27]. Through qh, these properties apply to the system under study in this work.

The qp part of the solution, to be approximated by perturbation techniques, can have resonance conditions as well as instabilities. Due to linearity, superposition holds for cases when F(t) has multiple terms. Also, if F(t) is scaled by a factor α, then qp is scaled by α. In this paper, our work will focus on the case of cyclic excitation with the same frequency as the parametric excitation. Separate work, such as with constant loading F0 or higher harmonics, can combine with results here by superposition.

This system under hard excitation is primed for study of secondary resonances. Simulations have revealed the existence of superharmonic resonances [1,5] and a primary resonance effect as well [5,28]. A first-order perturbation analysis uncovered the superharmonic of order two [5]. A second-order perturbation analysis detected additional resonances [6], and was applied to study the primary resonance parametric amplification in detail [28]. Second-order perturbation analyses have been useful in other systems with parametric excitation [17,19,23,29,30]. Parametric amplification has also been examined in the Mathieu equation with 2:1 forcing [1214,3134]. There have been numerous other studies on non-linear variations of forced and unforced Mathieu and parametric systems [4,5,3548].

In this work, we analyze Eq. (1) under hard forcing by using second-order expansions of the method of multiple scales (MMS) [23,49], with the aim of capturing and characterizing the superharmonic of order three, and evaluating improvements on the description of the superharmonic of order two. It complements a second-order perturbation analysis of primary resonance and parametric amplification under weak excitation [28]. Elements of this work were introduced in Ref. [6,50], and are more thoroughly developed here, with numerical validations.

2 Hard Cyclic Forcing—Initial Framework

For the case of hard cyclic excitation, Eq. (1) takes the form
(2)
In reference to the standard linear oscillator (case of γ = 0), ω would represent the natural frequency, and the damping parameter relates to the damping ratio of through εμ=ζω. Equation (2) can be recast by letting τ = ωt and q = (F1/ω2)y to obtain y+2ζy+(1+εδcosρτ)y=sin(ρτ+θ), which reveals four independent parameters as ζ=εμ/ω,δ = γ/ω2, ρ = Ω/ω, and θ. While θ affects primary resonance [28], we will find that it drops out of the superharmonic resonances, leaving the system with three significant independent parameters. We accommodate this by analyzing Eq. (2), the more familiar form relative to the standard oscillator, and treat it as non-dimensional with ω = 1 and parameters μ, γ, and Ω (and with F1 producing only scaling effects by linearity).

As a preview of behavior, Fig. 1 shows the simulated frequency sweep of Eq. (2) with ε=0.1,μ=0.25,ω=1,F1=1, and γ = 1.0, 1.1, and 2.0. We see resonant activity at Ω = 1/3, 1/2, 1, and 2. The superharmonic of order three is represented by a small peak, which is indistinguishable between γ = 1.0 and 1.1, but is increased with γ = 2. The superharmonic of order two is an order of magnitude larger, and had previously been described by a first-order multiple-scales analysis [50]. The primary resonance, still another order larger, was explored in detail in Ref. [28]. The behavior of the subharmonic is in fact not a steady-state resonance, but a detected instability, which involves growing responses when parameters are within the instability tongue. In this section, we will analyze these secondary resonances with a second-order perturbation analysis, and discuss some details of their characteristics.

Fig. 1
Amplitudes of a simulated frequency sweep of Eq. (2) showing the effect of the parametric forcing amplitude, with ε=0.1,μ=0.25,ω=1,F1=1,and θ = 0. Different curves depict γ = 1 (solid), γ = 1.1 (dash-dot), and γ = 2 (dashed).
Fig. 1
Amplitudes of a simulated frequency sweep of Eq. (2) showing the effect of the parametric forcing amplitude, with ε=0.1,μ=0.25,ω=1,F1=1,and θ = 0. Different curves depict γ = 1 (solid), γ = 1.1 (dash-dot), and γ = 2 (dashed).
Close modal
Employing a second-order MMS [23,49] on Eq. (2), we incorporate three time scales (T0, T1, T2), and allow for a dominant solution q0 and small variations q1 and q2, such that
(3)
where Ti=εit. Then ddt=D0+εD1+ε2D2, where Di=Ti. We substitute these expansions into Eq. (1) and then simplify and balance the coefficients of ε0,ε1, and ε2
(4)
From the O(ε0) equation, we arrive at the solution of q0 as
(5)
where Λ = Γe and Γ=F12(ω2Ω2), ω differs from Ω (no primary resonance), and c.c. means complex conjugate of the entire expression. A is a complex partial integration constant relative to T0, and therefore is a function of T1 and T2, and describes the amplitude and phase of the first term. Substituting this into the O(ε1) line of Eq. (4) leads to
(6)
where A¯ indicates the complex conjugate of A.

Here at first-order, Ω ≈ ω/2 and Ω ≈ 2ω lead to added secular terms. These cases were studied in the first-order expansions in Ref. [5], and are summarized later. There is also the non-resonant case, in which the leading-order response has the form q(t) = a cos (ωt + β) + ΛsinΩt, where a → 0 at steady-state, leaving us with a non-resonant periodic response q(t) = ΛsinΩt which resembles the standard oscillator.

In the case where Ω=2ω+εσ, there is a subharmonic resonance condition. The resonant part of the forced response only has the zero steady-state solution. However, the zero solution can destabilize similarly to the unforced Mathieu equation. In other words, the homogeneous solution has the standard Mathieu equation subharmonic instability, and this governs the forced equation as well.

But Ω ≈ ω/3 is not yet revealed as a case that would lead to secular terms. This specific resonance condition can be reached if we start with the non-resonant case of Eq. (6), and carry forth to the second order.

The next three sections address the resonance cases in detail.

3 Superharmonic Resonance of Order Two

The resonance where Ω ≈ ω/2 can be captured and analyzed at the first-order of multiple-scales expansion [5]. Here we summarize this analysis, and then extend it to the second order and evaluate improvements.

3.1 First-Order Analysis.

Letting 2Ω=ω+εσ, and inserting into Eq. (6), terms that lead to secular terms in the response are identified and removed, leading to
(7)
which can be referred to as a solvability condition. Letting A=12aei(ϕσT1), this solvability condition is used to determine the behavior of a and ϕ. At steady-state, we find
(8)
which is stable. The amplitude a has its peak steady-state value
(9)
occurring at σp0 = 0.

The resonant response magnitude is therefore of O(ε0). The leading-order response from Eq. (5) can then be written as q(t) = acos (2ωtϕ) + Γsin (Ωt + θ). This particular solution is accompanied by the homogeneous solution (of the standard damped Mathieu equation), which can have a very slender instability wedge in the (ω, γ) space based at Ω = ω/2 which is quickly diminished with small but increasing damping. The forced superharmonic resonance occurs even if qh is stable.

Numerical simulations show good agreement when γ is not too large. However, as γ increases, there are some discrepancies in the peak value and location. To this end, we continue with a second-order perturbation analysis to see if there are improvements.

3.2 Second-Order Analysis.

After removing the secular terms in Eq. (6), we solve for q1 to obtain
(10)
where
(11)
Inserting q0 and q1 into the O(ε2) equation of (4), we eliminate secular terms by letting
(12)
The next step is to recombine the two solvability conditions of Eqs. (7) and (12) into a single reconstituted ordinary differential equation, by setting dA/dt=εD1A+ε2D2A, an inversion of the multiple-scales differentiation [49]. In this process, D1A, and hence D12A are obtained from Eq. (7), and D2A is obtained from Eq. (12). We also note that eiσT1=eiσεt. The result is
(13)
Using Λ = Γe, and letting A=Bei(θ+εσt), for which dA/dt=(dB/dt+Biεσ)ei(θ+εσt), and inserting above, clears the exponential function and leads to
(14)
There is no effect of excitation phase θ on the response, other than the phase of response harmonics built into the change of coordinates from B back to A and the phase in Λ. At this point we can either use polar coordinates such that B = (a/2)e and seek steady-state solutions for a and β, or we can use Cartesian coordinates such that B = X + iY and seek steady-state solutions for X and Y. We choose the latter.
From the imaginary and real parts of Eq. (14), the differential equations in X and Y are
(15)
This leads to steady-state solutions
(16)
where
(17)
(18)
(19)
by application of Cramer’s rule, where D is the determinant of the matrix in Eq. (15), and where, after applying Ω ≈ ω/2, the parameter groups reduce (for this case only) to K = 2γ/5ω2, L = −2γ/3ω2, and Γ = 2F1/3ω2.
The steady-state response amplitude a is from B = (a/2)e = X + iY, such that
(20)
The amplitude can be approximated to have its resonance peak when the denominator, D, is minimum, namely when
(21)
This is an approximation because the numerator, through Eqs. (17) and (18), is also σ dependent. Using this approximation, and keeping the first two orders of ε, we obtain
(22)
If we neglect the ε2 term, the expression reduces to the first-order approximation for ap0 of Eq. (9).
The leading-order solution, from Eq. (5), can be obtained, noting A=Bei(εσt+θ)=(a/2)ei(θ+β+εσt) and 2Ω=ω+εσ, to be q(t)=q0(t)+εq1(t), where
(23)

3.3 Discussion and Numerical Examples.

Examination of the X and Y solutions, and ap1 of Eq. (22), shows that the response amplitude a is order one in terms of the bookkeeping parameter ε, and we have seen that ap1 reduces to ap0 when ε is neglected in Eq. (22). The second-order analysis indicates that the peak occurs at a frequency slightly lower than the resonant frequency of ω/2, in contrast to the first-order expansion result for which σp0 = 0. This negative offset of the peak increases as γ increases. In terms of Ω, this is an O(ε2) offset, which in practice may be small and negligible.

The response scales linearly with the external excitation amplitude, F1 (through Γ in Eqs. (17) and (18)), but is independent of θ, and the peak frequency is independent of F1 and θ. The amplitude a scales with a linear γ term and an ε2γ2 term (after canceling ε2 with the denominator). This latter term is neglected in the ap1 approximation, and may become significant as γ gets large, but in such case the asymptotic approximation may also degrade.

Equation (19) shows that if μ > 0, then D > 0. Thus, if μ ≠ 0, the response amplitude is bounded, since D serves as the denominator of the amplitude a. For the case of primary resonance [28], also studied using a second-order MMS, the zero denominator coincided with the Mathieu instability boundary, such that forced responses became unbounded simultaneously as the Mathieu system destabilized. If the same mechanism occurs at the superharmonic, it is not captured by the second-order analysis. Furthermore, the trace of the matrix in Eq. (15) is negative (μ > 0), indicating that the approximated solution is stable. It is well known that there exists a slender instability wedge based at Ω ≈ ω/2, but is not captured with a second-order multiple scales. We would therefore expect large errors in the asymptotic analysis as the values of γ and μ approach an instability transition.

We can also see from Eqs. (18) and (22) that the resonating harmonic near the peak grows inversely with μ, typical of linear resonators. Parameter μ is not involved in the non-resonant response, so we would expect the resonance peaks to increase from the surrounding behavior as μ decreases, at least within the limits of the asymptotic perturbation analysis. The aforementioned instability wedge penetrates to lower values of γ as μ decreases. Approaching the unquantified subharmonic instability wedge would be one mechanism for deviating from the simple inverse dependence on μ indicated by the perturbation method.

The correction term εq1(t) has harmonics that scale with εa, and thus it should remain O(ε) smaller than the q0 term. However, q1 contributes harmonics not expressed in q0, and is seen in numerical comparisons to improve the approximation to q. As this is part of an asymptotic expansion, there could be limits on the benefit of including q1 if εγ cannot be regarded as “small.”

Figure 2(a) shows amplitudes of frequency response sweeps comparing numerical simulations (solid curves) and second-order MMS approximations (dashed). The horizontal axis is the excitation frequency Ω, and the parameters are ε=0.1,μ=0.25,F1=1, and ω = 1, with γ = 1, 2, 3, and 4. The levels of the curves increase with γ. The simulated amplitudes at each frequency were obtained after transients were removed, and computed as the maximum of |q(t)| during a cycle. The analytical approximations were taken from |q0+εq1| over one cycle, obtained from Eq. (36).

Fig. 2
Superharmonic resonance of order two: (a) frequency sweeps obtained by numerical simulations (solid curves) and the analytical approximation q0+εq1 (dashed curves), for γ = 1, 2, 3, and 4, with ω=1,F1=1,ε=0.1,μ=0.25,and θ = 0, and (b) the peak resonant-harmonic amplitude a versus γ obtained from the first-order perturbation analysis (dashed) of Eq. (9), the second-order analysis (solid) from Eqs. (16)–(20), and from the FFTs of the numerical solutions (circles)
Fig. 2
Superharmonic resonance of order two: (a) frequency sweeps obtained by numerical simulations (solid curves) and the analytical approximation q0+εq1 (dashed curves), for γ = 1, 2, 3, and 4, with ω=1,F1=1,ε=0.1,μ=0.25,and θ = 0, and (b) the peak resonant-harmonic amplitude a versus γ obtained from the first-order perturbation analysis (dashed) of Eq. (9), the second-order analysis (solid) from Eqs. (16)–(20), and from the FFTs of the numerical solutions (circles)
Close modal

Figure 2(b) graphs the amplitude a of the resonant term as γ increases. The solid curve is the second-order MMS prediction of the maximum a from Eqs. (17) and (20) (which is visually indistinguishable from a plot based on Eq. (22)), while the dashed curve is the first-order MMS prediction from Eq. (9). They are nearly the same. However, as can be seen by Fig. 2(a), the resonance peaks occur at frequencies which deviate slightly from Ω = 0.5, as predicted for a in the second-order approximations but not in first-order approximations. While the generation of the curves involves other harmonics in both the simulations and from Eq. (23), we expect a to have the dominant effect.

Also shown in Fig. 2(b) are values of a obtained from fast Fourier transforms (FFTs) of numerical solutions, at the peak frequencies as estimated from the perturbation analysis. In the numerical solutions, the sampling rate was set to have an integer number of samples (100) per cycle to remove leakage distortions on spectrum peaks. Agreement is good up through moderate values of γ. Since the peak frequency from the perturbation analysis was used for the numerical solutions, it is possible that the numerical solution peak is slightly underestimated, although a difference is probably imperceptible when γ is not large. At γ ≥ 7 there is large deviation between the simulations and amplitude curves. At γ = 8 simulations exhibit stable amplitudes well off the plotting scale. By 8.5, unstable responses are observed in simulations. As mentioned, the slender instability tongue at this superharmonic is not uncovered by the second-order perturbation analysis, and thus the analysis does not accommodate the unbounded amplitude for large γ. Interpretations must also heed the assumption that the asymptotic solution is “valid” for small ε and order-one γ, a notion which is pushed with the larger values of γ in these examples.

Assembling the observations, the advantages of performing the second-order perturbation for this resonance are minimal. The quality of the first- and second-order approximations is very similar, and the small deviations that might be seen at larger γ, or in the frequency peaks, are likely to be negligible relative to other sources of error, such as asymptotic divergence, or in modeling or estimated parameter values.

4 Superharmonic Resonance of Order Three

4.1 Second-Order Analysis.

We describe resonances at Ω ≈ ω/3. This is non-resonant at O(ε), and removal of secular terms leads to −2μA iω − 2iωD1A = 0. From what remains in Eq. (6), the particular solution for q1 is
(24)
We substitute the solutions for q0 and q1 into the O(ε2) expression in Eq. (4) and arrive at
(25)
where K, L, and N are the same as in Eq. (11).
Only the γq1cosΩT0 term in Eq. (4), i.e., the last term in Eq. (25), has interaction between the response and parametric excitation. Expanding that term produces the exponential term e3iΩT0. This is secular when 3Ω ≈ ω, giving rise to the 1/3 superharmonic. Letting 3Ω=ω+εσ, eliminating secular terms up to O(ε2) in Eqs. (6) and (25) for 3Ω ≈ ω yields
(26)
From this, it is clear that the forced linear Mathieu equation has a superharmonic of order three, which required a second-order analysis to be captured. Furthermore, as evidenced from Fig. 1, the response is order ε lower than the peak at one-half. Analytical expressions for the amplitude derived shortly also corroborate this.
In order to get an expression for A we need to solve the solvability conditions (26) at O(ε) and O(ε2) together, so we again invoke the process of reconstitution [23,49]. Eliminating D1A and D12A from the O(ε2) equation, and applying our expressions for Λ, K, L, and N, evaluated with 3Ω ≈ ω, we can combine εD1A+ε2D2A to show that the solvability conditions (26) come from a multiple-scales expansion of
(27)
We let A=12aeiβ in Eq. (27), and separate imaginary and real parts to get non-autonomous equations for a˙ and β˙. We make these equations autonomous by letting σεtβ=ϕ, and correspondingly σεβ˙=ϕ˙, to write to the slow flow as
(28)
(29)
For steady-state solutions we set a˙=ϕ˙=0, and square and add the two equations to get
(30)
for the amplitude. We can also find
(31)
Equation (30) has the solution
(32)
where
(33)
The negative square root is seen to balance, e.g., Eq. (28) when small parameters produce a small phase via Eq. (31).
Hence, we have an expression for the amplitude of the system as a function of all its parameters. Since p and s are positive, a solution exists over the entire parameter space. To find amax we differentiate a2 from expression (32) with respect to σ and set da2dσ=0. This yields
From this, we get the value of σmax and the corresponding values of amax and associated ϕmax as
(34)

Stability can be ascertained from the Jacobian A of Eqs. (28) and (29). We find that if μ > 0, then det(A) > 0 and tr(A) < 0 and so the response at this resonance is stable.

The approximate solution of the superharmonic resonance is q(t)=q0(t)+εq1(t), where
(35)
(36)
where, using Ω ≈ ω/3, we have K = 9γ/14ω2, L = −9γ/10ω2, and N = −27μF1/64ω4.

4.2 Discussion and Numerical Examples.

Based on Eq. (34), the superharmonic component is O(ε) while the non-resonant term is O(1). The peak amplitude scales with γ2, and inversely with damping μ. The amplitude is not affected by θ, although there may be a slight peak-to-peak effect by the phasing of harmonics.

Figure 3(a) shows example amplitude frequency sweeps through superharmonic resonances of orders four and three. The figure shows amplitudes defined as the maximum of the absolute value of the response in a cycle of steady-state oscillation at each forcing frequency in the sweep. The solid lines show the numerical simulations, and the dashed lines show the results from q=q0+εq1 as expressed in Eqs. (35) and (36). While the resonances of orders three and four (and even five for large enough γ) are observed in numerical simulations, only that of order three is captured by the second-order MMS analysis. The plots show agreement between the numerical and asymptotic solutions if γ is not too large, and indicates increasing error as γ becomes larger.

Fig. 3
Superharmonic resonances of order three: (a) amplitudes of simulated steady-state responses (solid curves) and asymptotic approximations q0+εq1 (dashed) from Eqs. (35) and (36), versus excitation frequency Ω, with γ = 1, 2, 3, 4, and 5, and F1=1,ω=1,μ=0.25,ε=0.1,and θ = 0, and (b) amplitude a of the resonating harmonic versus γ obtained from Eq. (34) of the second-order perturbation analysis (solid line), and from the FFTs of numerical solutions (circles)
Fig. 3
Superharmonic resonances of order three: (a) amplitudes of simulated steady-state responses (solid curves) and asymptotic approximations q0+εq1 (dashed) from Eqs. (35) and (36), versus excitation frequency Ω, with γ = 1, 2, 3, 4, and 5, and F1=1,ω=1,μ=0.25,ε=0.1,and θ = 0, and (b) amplitude a of the resonating harmonic versus γ obtained from Eq. (34) of the second-order perturbation analysis (solid line), and from the FFTs of numerical solutions (circles)
Close modal

Order four and order five superharmonics may be captured by extending the MMS analysis to higher orders of ε. This can be seen by considering an MMS expansion that is non-resonant until the nth-order. The parametric term q0cosΩT0 in the O(ε) equation in Eq. (4) generates exponential terms with frequencies ±2Ω and ±Ω ± ω, which become frequency components of the q1 solution. At O(ε2), the q1cosΩT0 term then generates frequencies ±2Ω ± Ω and ±Ω ± Ω ± ω, the first of which leads to the forced superharmonic resonance Ω ≈ ω/3 analyzed here. (There is also a primary resonance, which is not part of the non-resonant expansion and is analyzed separately with weak excitation [28].) At O(ε3), the q2 cos ΩT0 term would generate frequencies of ±2Ω ± Ω ± Ω and ±Ω ± Ω ± Ω ± ω, among which is a potential superharmonic resonance with Ω ≈ ω/4, as well as Ω ≈ 2ω/3 (an unforced Mathieu wedge). Continuing, at O(εn), the qn-1cosΩT0 term would generate frequencies of ±2Ω + (n − 1~occurrences of~ ± Ω) and (n~occurrences of~ ± Ω) ± ω, revealing a potential forced superharmonic resonance of Ω ≈ ω/(n + 1), and an unforced Mathieu wedge at Ω ≈ 2ω/n. A full analysis by nth-order MMS would generate analytical predictions of steady-state amplitudes and stability criteria. Evidence of this cascade of superharmonic resonances was present in simulations of the undamped case [1].

Figure 3(b) depicts the amplitude a of the resonant term as γ increases. The solid curve is the second-order MMS prediction from Eq. (34). Also shown in Fig. 3(b) are values of a obtained from FFTs of numerical solutions at the peak frequencies as estimated from the perturbation analysis. In the numerical solutions, an integer number of samples per cycle (100) were chosen to remove leakage distortions on spectrum peaks. Agreement is reasonable up through moderate values of γ. Since the peak frequency from the perturbation analysis was used for the numerical solutions, it is again possible that the numerical solution peak is slightly underestimated, although we expect this effect to be small when γ is not large, since peaks are locally quadratic. The trend suggests that the perturbation analysis slightly overestimates the response amplitudes. When γ gets larger than eight, the simulation value becomes large and off the scale. At about γ = 11, the numerical solution is unstable. It is known that there is a very slender instability tongue near this superharmonic for very small damping, but it is not uncovered by the second-order perturbation analysis, and thus the analysis does not accommodate the unbounded amplitude for large γ. Interpretations must consider that the perturbation study is asymptotic, “valid” for small ε and order-one parameters such as γ, such that εγ is “small.”

Figure 4 shows the amplitude a (log scale) and phase ϕ behavior of the resonant term in the response expressed in Eq. (35). Indeed, based on Eqs. (32) and (31), the negative amplitude with a phase near π suggests that the response is nearly in phase with the excitation near the resonance peak, which is offset slightly below the superharmonic frequency (Ω = ω/3) for sizable γ. The phase change and the peak amplitude occur at decreasing frequencies as γ increases.

Fig. 4
Frequency response amplitude a (top, log scale) and phase ϕ (bottom) from Eqs. (32) and (31), for γ = 1, 2, 3, 4, and 5, near the superharmonic resonance of order three. F1 = 1, ω = 1, μ = 0.25, and ε=0.1.
Fig. 4
Frequency response amplitude a (top, log scale) and phase ϕ (bottom) from Eqs. (32) and (31), for γ = 1, 2, 3, 4, and 5, near the superharmonic resonance of order three. F1 = 1, ω = 1, μ = 0.25, and ε=0.1.
Close modal

While a superharmonic resonance of order 1/3 is apparent in Eq. (25), we note that the analysis does not reveal a subharmonic resonance of Ω ≈ 3ω in this linear forced Mathieu equation.

5 Subharmonic Resonance of Order One-Half

This case was examined in the previous first-order multiple-scales analysis [5]. A second-order analysis may refine the asymptotic expressions somewhat, and so we sketch its analysis. When Ω ≈ 2ω, i.e., Ω=2ω+εσ, eliminating secular terms from Eq. (6) leads to
(37)
The particular solution of Eq. (6) for q1 then becomes
(38)
Applying to Eq. (4) at O(ε2), and removing secular terms, we have
(39)
We combine Eqs. (37) and (39) to reconstitute, and apply Ω = 2ω to the constants, to get
(40)
which involves the effects of parametric excitation, but not direct forcing.
We let A=Beiεσt/2, and B = X + iY and obtain homogeneous equations for X˙ and Y˙ of the form x˙=Ax. The steady-state solution is x = (X, Y) = (0, 0), and its stability is governed by A. The trace and determinant of 2ωA are given by
(41)
The expression for D is quadratic in γ2 which when equated to zero gives the stability boundary of the order-two subharmonic. This agrees with results in the existing literature [23,25], and so we do not present further details of this analysis.

Figure 1 shows an example of how the instability may be observed in a simulation. For γ = 1 (solid line), the parameters come very close to the instability boundary. The peak seen at Ω = 2 has a value of approximately 1.75. This is not a steady-state resonant amplitude, but a nearly neutrally stable response amplitude essentially defined by the initial conditions. Changing the time duration for removing the transients has very little effect on this value, in this example. When γ = 1.1 (dash-dot line), at Ω = 2 the parameters just inside the instability boundary, and dictate very slow unstable growth. In this simulation, the amplitude has reached a value of about 5.2. Longer simulation times for removal of transients will lead to a higher peak. For the case of γ = 2 (dashed line), the parameters are well inside the unstable zone near Ω = 2. When varying Ω increases into the instability wedge (at about Ω = 1.85) the instability achieves an unstable exponent with quick growth. Thus, while the stable steady-state resonances near Ω = 1/3, 1/2, and 1 show smooth peak transitions from the surrounding non-resonant state, the subharmonic is signified by abrupt peaks departing from the non-resonant curve, which will grow with integration time. If we choose γ = 0.9 (not shown), then Ω = 2 is stable, but very slowly, and there is a shrinking peak as the response decays from the initial state and the transient time is increased.

6 Conclusion

Motivated by reduced-order models of large wind-turbine blades under steady conditions, in which gravity and aerodynamics provide cyclic stiffening and direct loading, we have looked at the linear Mathieu equation with combined parametric and direct excitations of the same frequency. The forced linear Mathieu equation has homogeneous and particular solutions relative to consideration of the direct excitation term. The homogeneous solution has all of the characteristics shown in classical studies of the Mathieu equation. Thus, our attention was on the forced responses, which we studied for hard cyclic excitation using a second-order multiple-scales analysis.

Following an earlier study which described the superharmonic resonance of order two using a first-order perturbation analysis, the second-order perturbation analysis was applied to see if there was any refinement in the analytical quality. The response amplitudes as predicted by the first- and second-order analyses were nearly the same. However, the second-order analysis predicted the peak to be slightly shifted from the superharmonic frequency, while first-order analysis predicted the peak to be at the superharmonic frequency.

In earlier studies, numerical simulations revealed a superharmonic resonance of order three which was not uncovered by a first-order multiple-scales analysis. Here, the second-order multiple-scales analysis with hard excitation revealed the existence of a stable superharmonic resonance of order three. This resonance peak is of order ε in magnitude, which is small compared to the superharmonic resonance of order two. The possible existence of such a resonance may be important to wind turbines, as they are designed to operate at frequencies well below the first natural frequency, and a small resonance can induce a response that is significantly larger than that of the non-resonant oscillator with direct excitation only. Furthermore, a recursive examination indicated that an nth-order MMS analysis will reveal resonance conditions of order n + 1, although the amplitudes of such superharmonics are expected to diminish with n.

The analysis showed that cyclic external excitation does not incur a steady-state subharmonic resonance, but consistently described the subharmonic instability of the Mathieu equation. Numerical simulations show how this might be observed in a frequency sweep.

Together with the previous work on primary resonance [28], the second-order perturbation analysis unfolds superharmonic resonances of orders three and two, primary resonance amplification, and subharmonic instability. Numerical simulations suggest that superharmonic resonances of higher orders can occur. The detection of such resonances with higher orders of perturbation expansions has been mapped out, but the full analyses would be needed to describe them.

Acknowledgment

This material is based on work supported by National Science Foundation (CBET-0933292, CMMI-1335177). Any opinions, findings, and conclusions or recommendations expressed are those of the authors and do not necessarily reflect the views of the NSF.

Conflict of Interest

There are no conflicts of interest.

Data Availability Statement

The authors attest that all data for this study are included in the paper.

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