Analysis of sound transmission loss characteristics of aircraft composite panel under variable temperature environment

Peng, Tao; Dong, Ningjuan; Yan, Qun

doi:10.1177/14613484221088139

Cited by 4 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Composite materials are widely used in the mechanical engineering fields, especially in aeronautical structures due to their excellent properties such as high specific stiffness and specific strength. 1 However, they have the disadvantage of poor impact resistance. Composite structures are susceptible to barely visible impact damage (BVID) such as debonding and delamination when impacted by foreign objects such as birds, rocks, and hail.…”

Section: Introductionmentioning

confidence: 99%

Accelerated generalized minimax-concave sparse regularization for impact force reconstruction and localization

Wang,

Chen,

Liu

et al. 2023

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

Impact force identification has always been of significance for structure health monitoring especially on the applications involving composite materials. As a typical inverse problem, impact force reconstruction and localization is undoubtedly a challenging task. The well-known ℓ1 sparse regularization has a tendency to underestimate the amplitude of impact forces. To alleviate this limitation, we propose an accelerated generalized minimax-concave (AGMC) for sparse regularization that employs a non-convex generalized minimax-concave (GMC) penalty as the regularizer and incorporates an acceleration technique to expedite the attainment of the global minimum. Compared with the classic ℓ1-norm penalty, the GMC penalty can not only induce sparsity in the estimation, but also maintain the convexity of the cost function, so that the global optimal solution can be obtained through convex optimization algorithms. This method is applied to solve the impact force identification problem with unknown force locations to simultaneously reconstruct and localize impact forces in the under-determined case utilizing a limited number of sensors. Meanwhile, K-sparsity criterion is used to adaptively select regularization parameters by taking advantage of the sparse prior knowledge on impact forces. Simulations and experiments are conducted on a composite plate to verify the computational efficiency and robustness of the AGMC method in terms of impact force reconstruction and localization, particularly in the presence of noise. Results demonstrate that the proposed AGMC method achieves faster convergence and provides more accurate and sparse reconstruction and localization of impact forces compared to other state-of-the-art sparse regularization methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Accelerated generalized minimax-concave sparse regularization for impact force reconstruction and localization

Wang,

Chen,

Liu

et al. 2023

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

“…The research results completed through a doctoral thesis on designing a new reverberation chamber usable for characterizing sound transmission loss in the case of multi-material samples manufactured by 3D printing were published in 2021 by Maroo [ 28 ]. A reverberation chamber has been used by Peng et al for the research of sound transmission loss in the case of some aircraft composite panels of large dimensions, which were not manufactured by 3D printing [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Propagation of Sounds through Small Panels Made of Polymer Materials by 3D Printing

Hrițuc,

Mihalache,

Dodun

et al. 2023

Polymers

View full text Add to dashboard Cite

To evaluate the sound insulation capacity of small panels made of polymeric materials by 3D printing, a Taguchi L18-type factorial experiment with eight independent variables was designed and materialized. The independent variables were the panel thickness, polymer material type, 3D printing speed, infill percent, infill pattern, layer thickness, frequency, and sound volume. Empirical mathematical models were determined through the mathematical processing of the experimental results using specialized software. These empirical mathematical models highlight the meaning and intensity of the influence exerted by the input factors in the process on the acoustic pressure level of the energy absorbed after the passage of sounds through the small panels manufactured by 3D printing from polylactic acid and polyethylene terephthalate glycol. The factor with the strongest influence was the frequency of the sounds, with a maximum of the sound pressure level for a frequency of 13,000 Hz. A polylactic acid panel between the sound source and the sound-receiving sensor reduces the sound pressure level by about 45% from 95.8 to 65.8 dB. The power function type mathematical model in the case of the energy absorbed by the panel highlights the fact that the highest values of the exponents are those attached to the sound frequency (exponent equal to 1.616) and, respectively, to the thickness of the panel (exponent equal to −0.121).

show abstract

Sound Insulation: Key Concepts and Technologies

Mago,

Sunali,

Negi

et al. 2024

Handbook of Vibroacoustics, Noise and Harshness

View full text Add to dashboard Cite

Analysis of sound transmission loss characteristics of aircraft composite panel under variable temperature environment

Cited by 4 publications

References 30 publications

Accelerated generalized minimax-concave sparse regularization for impact force reconstruction and localization

Accelerated generalized minimax-concave sparse regularization for impact force reconstruction and localization

Propagation of Sounds through Small Panels Made of Polymer Materials by 3D Printing

Sound Insulation: Key Concepts and Technologies

Contact Info

Product

Resources

About