Abstract:The long time effect of nonlinear perturbation to oscillatory linear systems can be characterized by the averaging method, and we consider first-order averaging for its simplest applicability to high-dimensional problems. Instead of the classical approach, in which one uses the pullback of linear flow to isolate slow variables and then approximate the effective dynamics by averaging, we propose an alternative coordinate transform that better approximates the mean of oscillations. This leads to a simple improve… Show more
“…However, this method of solution can be both non-intuitive and time consuming, especially when performing extensive parametric studies. Alternately, the coupled ODEs can be re-written using new scaled and normalized parameters to make explicit a timescale separation, and approximated using an improved averaging theory [23,24] to obtain approximate semi-analytical solutions (details of the parameters used and the analysis are presented in the supplementary material [25]). The semi-analytical solutions provide more insight into the operation of the proposed comb generation system by providing expressions for critical drive voltage and frequency comb spacing.…”
The generation of electromechanical frequency combs in both air and liquid environments using a capacitive microresonator array is presented in this paper. In contrast to frequency comb generation in purely mechanical resonators, we show that the damping dependent threshold for comb generation can be reduced by parametrically coupling a resonant electrical circuit to the mechanical resonator. A 1-D lumped parameter model of the proposed system is presented and semi-analytical solutions are developed to investigate the parameters influencing frequency comb formation under various operating conditions. The results obtained with numerical simulations are experimentally validated using a commercially available MEM resonator, and frequency combs with a repetition rate sensitive to the force on the mechanical resonator are generated with a single electrical drive in air and in a liquid-filled microfluidic channel. In contrast to prior work on electromechanical frequency combs, this work represents a simple yet robust approach to generating stable combs, thereby enabling its practical use in applications such as gas sensing and microfluidics.
“…However, this method of solution can be both non-intuitive and time consuming, especially when performing extensive parametric studies. Alternately, the coupled ODEs can be re-written using new scaled and normalized parameters to make explicit a timescale separation, and approximated using an improved averaging theory [23,24] to obtain approximate semi-analytical solutions (details of the parameters used and the analysis are presented in the supplementary material [25]). The semi-analytical solutions provide more insight into the operation of the proposed comb generation system by providing expressions for critical drive voltage and frequency comb spacing.…”
The generation of electromechanical frequency combs in both air and liquid environments using a capacitive microresonator array is presented in this paper. In contrast to frequency comb generation in purely mechanical resonators, we show that the damping dependent threshold for comb generation can be reduced by parametrically coupling a resonant electrical circuit to the mechanical resonator. A 1-D lumped parameter model of the proposed system is presented and semi-analytical solutions are developed to investigate the parameters influencing frequency comb formation under various operating conditions. The results obtained with numerical simulations are experimentally validated using a commercially available MEM resonator, and frequency combs with a repetition rate sensitive to the force on the mechanical resonator are generated with a single electrical drive in air and in a liquid-filled microfluidic channel. In contrast to prior work on electromechanical frequency combs, this work represents a simple yet robust approach to generating stable combs, thereby enabling its practical use in applications such as gas sensing and microfluidics.
“…[16]), the parametric resonant frequency also corresponds to intrinsic frequency ω 0 . This may sound inconsistent with the parametric resonant frequency of linear (e.g., qh + ω 2 0 (1 + ǫ cos(Ωt))q h = 0) or weakly nonlinear systems (e.g., [49,51]) which is Ω = 2ω 0 , but the latter is in fact, as discussed above, a special case where a 1 = a −1 = 0. As the potential of our system is in general arbitrarily nonlinear, all harmonics could exist (i.e., none of q n 's vanishes).…”
Section: Parameteric Resonance: Characterization Of the Resonant Freq...mentioning
confidence: 98%
“…Consequently, we optimize over t 0 to obtain an MLP and the optimal transition rate of system (1.1). Thus (1.3) can be formally rewritten as follows [51]:…”
This work is devoted to quantifying how periodic perturbation can change the rate of metastable transition in stochastic mechanical systems with weak noises. A closed-form explicit expression for approximating the rate change is provided, and the corresponding transition mechanism can also be approximated. Unlike the majority of existing relevant works, these results apply to kinetic Langevin equations with high-dimensional potentials and nonlinear perturbations. They are obtained based on a higher-order Hamiltonian formalism and perturbation analysis for the Freidlin-Wentzell action functional. This tool allowed us to show that parametric excitation at a resonant frequency can significantly enhance the rate of metastable transitions. Numerical experiments for both low-dimensional toy models and a molecular cluster are also provided. For the latter, we show that vibrating a material appropriately can help heal its defect, and our theory provides the appropriate vibration.
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