The Effectiveness of the Suppression of Low Frequency Acoustic Resonances with Porous Sound Absorbing Structures of Multifunctional Upholstery Materials of Car Body Interior

Fesina, Michael I.; Krasnov, A. V.; Горина, Л. Н.

doi:10.1016/j.proeng.2017.02.284

Cited by 2 publications

(1 citation statement)

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“…A frequency response function (FRF) expresses the amplification of the system under harmonic dynamic excitation, which is a critical aspect of its functionality. In some applications, the maximum response must be limited, for example, in the case of sensitive equipment which needs protection (Tsai and Lin 1994), for limiting acoustic transmission (Fesina et al 2017), or in systems for high positioning accuracy (van der Veen et al 2017). Alternatively, a transmission ratio at a resonance frequency might be limited from below, for instance in sensor equipment which needs a minimum response (Xia et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Efficient limitation of resonant peaks by topology optimization including modal truncation augmentation

Delissen

Keulen

Langelaar

2020

Struct Multidisc Optim

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In many engineering applications, the dynamic frequency response of systems is of high importance. In this paper, we focus on limiting the extreme values in frequency response functions, which occur at the eigenfrequencies of the system, better known as resonant peaks. Within an optimization, merely sampling the frequency range and limiting the maximum values result in high computational effort. Additionally, the sensitivities of this method are not complete, since only information about the resonance peak amplitude is included. The design dependence with respect to the frequency of the extreme value is missed, thus hampering the convergence. To overcome these difficulties, we propose a constraint which can efficiently and accurately limit resonant peaks in a frequency response function. It has a close relation with eigenfrequency maximization; however, in that case, the amplitudes of the frequency response are unconstrained. In order to keep the computational time low, efficient implementation of this constraint is studied using reduced-order models based on modal truncation and modal truncation augmentation. Furthermore, approximated sensitivities are investigated, resulting in a large computational gain, while still yielding very accurate sensitivities and designs with almost equivalent performance compared with the non-approximated case. Conditions are established for the accuracy and computational efficiency of the proposed methods, depending on the number of peaks to be limited, numbers of inputs and outputs, and whether or not the system input and output are collocated.

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