Free vibration and sound transmission properties of beetle elytron plate: structural parametric analysis

Hao, Ning; Wang, Ziying; Song, Yiheng; Ruan, Sihan; He, Chaochao; Dong, Zeyu

doi:10.1016/j.heliyon.2022.e11683

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Schaefer et al used neural networks and particle swarm optimization to relate front acoustic package materials to cost and weight, optimizing without losing sound properties and cutting weight by 15.21% [27]. Song and Oliazadeh studied sound transmission in foam-filled honeycomb panels, creating a detailed SEA-based analytical model, yielding a closed-form STL expression for accurate transmission loss predictions [28][29][30]. Huang and team conducted detailed analysis and prediction of vehicle front panel sound quality using a multi-objective, multi-level approach, and developed an optimization methodology for NVH design and fault diagnosis [31,32].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

Peng,

Cheng,

Sun

et al. 2024

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The Noise, Vibration, and Harshness (NVH) experience during driving is significantly influenced by the sound insulation performance of the car floor acoustic package. As such, accurate and efficient predictions of its sound insulation performance are crucial for optimizing related noise reduction designs. However, the complex acoustic transmission mechanisms and difficulties in characterizing the sound absorption and insulation properties of the floor acoustic package pose significant challenges to traditional Computer-Aided Engineering (CAE) methods, leading to low modeling efficiency and prediction accuracy. To address these limitations, a hierarchical multiobjective decomposition system for predicting the sound insulation performance of the floor acoustic package has been developed based on an analysis of the noise transmission path. This approach involves introducing a 1D-Convolutional Neural Network (1D-CNN) model for predicting the sound insulation performance of the floor acoustic package, thereby avoiding the limitations of conventional CAE approaches that rely solely on "data-driven" methods. The proposed method was applied and tested using specific vehicle models, and the results demonstrated the effectiveness and superiority of the proposed approach relative to those obtained using 2D-CNN and Support Vector Regression (SVR) models.

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Section: Introductionmentioning

confidence: 99%

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

Peng,

Cheng,

Sun

et al. 2024

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“…They performed geometric parametric simulations on face thickness, cell wall thickness, and foam filling, and they verified the equivalent model using experimental results. Liu and Sun 37 and Hao et al 38 examined the vibration and transverse shear characteristics of the beetle elytra plate (BEP) inspired biomimetic sandwich plate. They concluded that the BEP improves the vibration performance and is a good replacement for the honeycomb sandwich plate.…”

Section: Introductionmentioning

confidence: 99%

Vibrational behavior of a 3D printed biomimetic dual‐core composite sandwich beam: An experimental and numerical study

Thanikasalam,

Ramamoorthy

2023

Polymer Composites

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Composite sandwich structures have been used in various applications like aerospace, automotive, and maritime sectors. The process of identifying the core design and the selection of a prominent core is crucially important in sandwich structures. In this study, biomimetic core development and vibration responses of composite sandwich beams with a dual biomimetic honeycomb core are investigated. The composite face layers are fabricated by the hand lay‐up method, and the fused deposition modeling is used to 3D print the PLA honeycomb cores. Based on ASTM‐E1876 and the alternative dynamic approach, the face layer elastic properties and rigidity modulus of the cores are evaluated, respectively. The numerical simulation is used to predict the sandwich panels' natural frequencies and mode shapes and verified with experimental results. There was an excellent agreement between the calculated and experimental natural frequencies. Due to the presence of the core and enhanced rigidity modulus, the dual lamellar honeycomb core sandwich beam produces the highest natural frequencies among all‐composite sandwich beams, followed by the dual regular honeycomb, single lamellar honeycomb, and single regular honeycomb cores. The geometric parametric studies, including core thickness, length‐to‐breadth ratio, lamination schemes, support conditions, and transverse vibration responses were also analyzed for different sandwich patterns. As a result of this work, thick composite sandwich panels in aeronautical and marine structures can be replaced with dual biomimetic core structures. The study highlights the fact that the dual‐core sandwich beam provided greater modal frequency than the single‐core beam with the same weight proportions.Highlights Pistachio nut shell‐based biomimetic honeycomb core has been developed. Alternative dynamic approach is used to find sandwich‐core shear properties. Lamellar‐infused biomimetic model yields higher shear modulus and stiffness. Dual‐core beam having high flexural stiffness enhances the natural frequency. Various parametric studies were analyzed for different sandwich patterns.

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Load-bearing behaviors of sandwich plates with non-uniformly distributed grid cores: static compression and bending

Hao,

Wang,

Song

et al. 2023

J Mater Sci

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Free vibration and sound transmission properties of beetle elytron plate: structural parametric analysis

Cited by 5 publications

References 21 publications

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

Vibrational behavior of a 3D printed biomimetic dual‐core composite sandwich beam: An experimental and numerical study

Load-bearing behaviors of sandwich plates with non-uniformly distributed grid cores: static compression and bending

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