2015
DOI: 10.1016/j.jsv.2014.08.023
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Optimization of nonlinear structural resonance using the incremental harmonic balance method

Abstract: We present an optimization procedure for tailoring the nonlinear structural resonant response with time-harmonic loads. A nonlinear finite element method is used for modeling beam structures with a geometric nonlinearity and the incremental harmonic balance method is applied for accurate nonlinear vibration analysis. An optimization procedure based on a gradient-based algorithm is developed and we use the adjoint method for efficient computation of design sensitivities. We consider several examples in which we… Show more

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Cited by 40 publications
(34 citation statements)
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“…In these optimizations, the objective function is increased by a factor of 13 and reduced by a factor of 4, respectively. The optimized designs are in accordance with the results in [18], obtained using the incremental harmonic balance method, where we found the nonlinear strain energy due to mid-plane stretching reaches its local maximum around x = 1 4 L and x = 3 4 L, which is precisely where the optimized structures are altered most significantly relative to their general thickness. Furthermore, the eigenfrequency of the first flexural mode decreases during optimization of maximizing the cubic nonlinearity, and increases during optimization of minimizing the cubic nonlinearity.…”
Section: Examplessupporting
confidence: 86%
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“…In these optimizations, the objective function is increased by a factor of 13 and reduced by a factor of 4, respectively. The optimized designs are in accordance with the results in [18], obtained using the incremental harmonic balance method, where we found the nonlinear strain energy due to mid-plane stretching reaches its local maximum around x = 1 4 L and x = 3 4 L, which is precisely where the optimized structures are altered most significantly relative to their general thickness. Furthermore, the eigenfrequency of the first flexural mode decreases during optimization of maximizing the cubic nonlinearity, and increases during optimization of minimizing the cubic nonlinearity.…”
Section: Examplessupporting
confidence: 86%
“…The initial design has a uniform in-plane thickness of 4 µm and is discretized with 400 beam elements as described in [18]. During shape optimization, the in-plane thickness h is varied to tailor the cubic nonlinearity in the reduced-order model.…”
Section: Examplesmentioning
confidence: 99%
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“…In the recent years, substantial efforts have been put forth to tailor the strength of structural nonlinearity [18,28,29]. Saghafi et al [28] provided an analytical scheme based on a continuous system model to predict the onset of nonlinearity in a bilayer clamped-clamped micro-beam to enhance the working dynamic range.…”
Section: Introductionmentioning
confidence: 99%