Article
Mechanics
Yalcin Boztoprak, Merve Unal, Cagatay Ozada, Eslem Kuzu, Hakki Ozer, Furkan Ergin, Murat Yazici
Summary: The distinctive features of sound insulation structures are flexibility and porosity. A cellular flexible epoxy matrix material was created using a foaming agent, and hollow glass microspheres were added to increase sound wave refraction. Structures with different densities and voids were formed by adjusting the ratios of filling material and foaming agents. An aluminum honeycomb was used for protection and homogeneous distribution of sound waves. The effect of density differences on sound insulation values was analyzed, and the mechanical, thermal, electrical, and flammability properties of the sandwich structures were evaluated.
COMPOSITE STRUCTURES
(2023)
Article
Acoustics
Jacek Nurzynski
Summary: The study investigated the sound insulation of bulkhead walls and the dynamic stiffness of resilient core materials. It found that bulkhead panels should be lightweight, stiff, and offer good sound insulation, which are usually incompatible features. Adjusting the technical parameters of a solid core had a limited impact on the acoustic performance of a panel, while further modifications to the core and faces showed more promising results.
Article
Mathematics
Geman Shi, Xiaoxun Wu, Renjie Jiang, Shande Li
Summary: The sound insulation capacity of traditional sound insulation boards is limited by mass, conflicting with the demand for light weight. To address this issue, a lightweight particle reinforced gradient honeycomb sandwich panel is proposed for lightweight sound insulation. The sound insulation is calculated based on the transfer matrix method and verified through finite element simulation. It is found that adding reinforcement particles to the aluminum matrix can significantly improve the sound insulation of the honeycomb sandwich panel, and the sound insulation also increases with the particle mass fraction of the reinforcement. Furthermore, the sound insulation performance of the sandwich plate at low frequencies is effectively improved.
Article
Engineering, Mechanical
Lei Zhang, Weitao Zhang, Fengxian Xin
Summary: This study proposes a hexagonal honeycomb sandwich panel with rough embedded necks as a new structure for broadband low-frequency sound absorption. A theoretical model and a finite element model are established to study the sound absorption performance and mechanism of the structure. The results show that the structure has excellent broadband low-frequency sound absorption performance, with energy dissipation mainly occurring in the neck. Adjusting the relative roughness of the neck enhances the energy dissipation and shifts the peak frequency towards low frequencies.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Acoustics
Colby W. Cushing, Preston S. Wilson, Michael R. Haberman, Chen Shen, Junfei Li, Steven A. Cummer, Zheng Jie Tan, Chu Ma, Huifeng Du, Nicholas X. Fang
Summary: This paper presents a method for characterizing the effective properties of inertial acoustic metamaterial unit cells for underwater operation using numerical simulations and measurements. The method is validated by a metamaterial unit cell composed of aluminum honeycomb panels with soft rubber spacers, showing good agreement between simulated and measured responses. The sub-unity density ratio and anisotropic mass density achieved by the metamaterial unit cell make it useful for transformation acoustics, with potential applications in underwater acoustic devices.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
Article
Mechanics
Mingze Ma, Weixing Yao, Wen Jiang, Wei Jin, Yan Chen, Piao Li
Summary: This paper investigates a fatigue damage model of composite sandwich panels, validates the accuracy and effectiveness of the proposed model through experiments.
COMPOSITE STRUCTURES
(2021)
Article
Computer Science, Interdisciplinary Applications
Daniele Giannini, Mattias Schevenels, Edwin P. B. Reynders
Summary: In this work, a method is proposed to optimize the material thickness distribution of partition panels for maximum sound insulation while controlling material usage. The method combines structural optimization with diffuse field sound transmission loss (STL) predictions. It is applicable to both single panels and double panels. The method demonstrates significant improvements in sound insulation for various target frequencies and design cases.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Materials Science, Multidisciplinary
Suchao Xie, Zhejun Feng, Hui Zhou, Da Wang
Summary: This study analyzed the bending behavior and energy absorption characteristics of Nomex honeycomb sandwich panels, providing data and theoretical support for their practical application. By clarifying the relationship between bending performance and specification parameters, and creating a failure map, the study aids in predicting performance and selecting parameters for Nomex honeycomb sandwich panels.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2021)
Article
Acoustics
Jiuxiao Hou, Haichao Zhu, Suwei Yuan, Jinlong Liao
Summary: Theoretical and experimental studies were conducted on the sound transmission characteristics of multi-layer flexible micro-perforated panels under normal incidence conditions, investigating the effect of panel elastic properties and arrangement order on sound insulation performance. The results showed that the sound transmission loss curve remains unchanged when the arrangement order is symmetrically transposed, and decreasing the perforation rate from the sound source side can help improve the energy dissipation factor.
Article
Acoustics
Junqiang Wang, Bin Du, Yong Huang
Summary: Higher requirements are put forward for the air-borne sound insulation performance of buildings in order to create a healthy and comfortable indoor environment. This study focuses on the airborne sound insulation performance of lightweight double leaf walls and analyzes the influence of factors such as stud type, stud spacing, cavity filling materials, and panel layers on the performance. Five measures to improve the airborne sound insulation performance are identified.
Article
Mechanics
Pouria Oliazadeh, Anooshiravan Farshidianfar, Malcolm J. Crocker
Summary: This paper investigates the sound transmission through foam-filled honeycomb sandwich panels, experimentally and analytically. An analytical model based on statistical energy analysis (SEA) is developed in detail for a honeycomb sandwich panel. The validity of the theoretical result is verified by implementing a comparison with experimental measurement, showing good agreement in the medium and high frequency regions and particularly at the critical frequency of the panel.
COMPOSITE STRUCTURES
(2022)
Article
Agricultural Engineering
Zhi Jin, Jinyi Li, Qiangqiang Wang, Wenbo Su, Xinfang Duan, Zhaoqun Tang
Summary: The study found that the multifunctional panels made from jute fibers blended with polyester fibers have excellent thermal insulation, sound absorption, and humidity control properties. The thermal insulation performance of the panels is comparable to commercial thermal insulators, with sound absorption reaching commercial levels and good potential in humidity control.
INDUSTRIAL CROPS AND PRODUCTS
(2021)
Article
Acoustics
Yingli Li, Jiahui Yan, Yonglin Zhang
Summary: This paper presents a multilayer honeycomb membrane-type acoustic metamaterial with an interlayer structure, which can effectively reduce sound energy transmission by varying the eigenmode characteristics of the membrane. The design of interlayer structures can break the bottleneck of ultrathin and lightweight requirements and achieve high sound insulation in a wide frequency range by shifting the transmission loss valley to a higher frequency.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Chemistry, Physical
Longlong Ren, Haosen Yang, Lei Liu, Chuanlong Zhai, Yuepeng Song
Summary: This paper presents a numerical and experimental study on the vibro-acoustic optimization of sandwich panels with corrugated core for maximizing the sound transmission loss, showing improvements in sound insulation performance across different frequency ranges. By introducing the coefficient of determination, the correlation between structural design parameters and sound transmission characteristics is analyzed, providing insights into the importance of each design parameter in various frequency ranges.
Article
Materials Science, Textiles
Magdi El Messiry, Yasmin Ayman
Summary: The study analyzed the acoustic properties of insulator panels made from a combination of textile fibers and rubber crumbs. The results show that the fiber/rubber crumbs panel had a significant sound transmission loss (STL) profile, especially at high frequencies. The addition of polylactic acid meltblown nonwoven fabric on the surface of the rubber crumbs side significantly increased the STL by 20%.
JOURNAL OF INDUSTRIAL TEXTILES
(2022)
Article
Acoustics
Cailiang Zhang, Zhihui Lai, Zhisheng Tu, Hanqiu Liu, Yong Chen, Ronghua Zhu
Summary: This paper proposes two single-parameter-adjusting SR models to optimize the output performance of SR systems. The effects of the proposed models on SR output under different parameters and signals are investigated through numerical simulations, and their feasibility is verified through experimental results. The research results are of great significance for guiding the design of tri-stable SR models and the application of SR-based signal processing in the context of big data.
Article
Acoustics
Shaoqiong Yang, Hao Chang, Yanhui Wang, Ming Yang, Tongshuai Sun
Summary: In this study, a suspension system based on phononic crystals is designed for vibration isolation of acoustic loads in underwater gliders. The vibration properties of the phononic crystals and the effects of physical parameters on the underwater attenuation zones are investigated. Vibration tests show that the phononic crystal suspension system has a stable vibration isolation effect in the frequency range of 120-5000 Hz.
Article
Acoustics
Xuebin Zhang, Jun Zhang, Tao Liu, Ning Hu
Summary: This study proposes a tunable metamaterial beam to isolate flexural waves. A genetic algorithm-based size optimization is used to obtain a broad low-frequency bandgap. The tunability of the beam is achieved by attaching different numbers of permanent magnets to change the mass of the resonators. Additionally, ultra-broadband flexural wave attenuation is achieved by forming a gradient metamaterial beam based on the rainbow effect. Numerical and experimental results confirm the good flexural wave attenuation ability of the proposed beam.
Article
Acoustics
Luca Rapino, Francesco Ripamonti, Samanta Dallasta, Simone Baro, Roberto Corradi
Summary: This paper presents a method for simulating tyre/road noise using equivalent monopoles, including the synthesis of monopoles through an inverse problem approach and the use of an ISO 10844 road replica for laboratory testing. The method combines acoustic finite element models and numerical simulations of vehicles, and the results are validated by comparing them with measured data.
Article
Acoustics
Xiaoyan Zhu, Tin Oberman, Francesco Aletta
Summary: This paper explores the definition of acoustical heritage and proposes a multidimensional definition based on interviews with experts and detailed analysis of the data.
Article
Acoustics
Faeez Masurkar, Saurabh Aggarwal, Zi Wen Tham, Lei Zhang, Feng Yang, Fangsen Cui
Summary: This research focuses on estimating the elastic constants of orthotropic laminates using ultrasonic guided waves and inverse machine learning models. The results show that this approach has the potential to accurately predict the elastic constants of a material and reduce computational time.
Article
Acoustics
Feng Xiao, Haiquan Liu, Jia Lu
Summary: Diagnostic methods for cardiovascular disease based on heart sound classification have been widely studied due to their noninvasiveness, low-cost, and high efficiency. However, existing research often faces challenges such as the nonstationarity and complexity of heart sound signals, leading to limited capability of neural networks to extract discriminative features. To address these issues, this study proposes a novel convolutional neural network that combines 1D convolution and 2D convolution, and introduces an attention mechanism to enhance feature extraction capability. The study also explores the advantages and disadvantages of combining deep learning features with manual features, and adopts an evolving fuzzy system for decision-making interpretability.
Article
Acoustics
Hong Xu, Zhengyao He, Qiang Shi, Yushi Wang, Bo Zhang
Summary: This paper presents the development of a directional segmented ring transmitting transducer that can radiate sound waves in any horizontal region. The study focuses on the structure of the segmented ring transducer, its radiation sound field characteristics, and the beam pattern control method based on modal synthesis. The authors propose orthogonal beam pattern functions for adjusting steering angles and establish a three-dimensional finite element model to simulate the transmitting beam patterns. Experimental measurements and tests validate the effectiveness of the proposed transducer, showcasing its ability to steer the beam patterns to different directions.
Article
Acoustics
Jirui Yang, Shefeng Yan, Di Zeng, Gang Tan
Summary: This paper proposes an improved domain adaptation framework, self-supervised learning minimax entropy, to enhance the recognition performance of underwater target recognition models. The experimental results demonstrate that applying domain adaptation methods can effectively improve the recognition accuracy of the models under various marine conditions.
Article
Acoustics
Zonghan Sun, Jie Tian, Yuhang Zheng, Xiaocheng Zhu, Zhaohui Du, Hua Ouyang
Summary: This paper analyzes the noise reduction method of installing a sinusoidal-shaped inlet duct on a cooling fan through theoretical and experimental analysis of the acoustic mode modulation. The study establishes the correlation between the free field noise and acoustic mode of the fan rotor and the unsteady forces on the rotor blade surface. The results show that the sinusoidal-shaped inlet duct achieves greater noise reduction compared to a straight duct, especially at the blade passing frequency and its first harmonic.
Article
Acoustics
Min Li, Rumei Han, Hui Xie, Ruining Zhang, Haochen Guo, Yuan Zhang, Jian Kang
Summary: This study is part of a global collaboration to translate and standardise soundscape research. A reliable questionnaire for soundscape characterisation in Mandarin Chinese was developed and validated. The study found that salient sound sources become the focus of attention for individuals in urban open spaces, and the perception is also influenced by the acoustic characteristics of the soundscape. Certain types of sound sources play a more important role in soundscape perception.
Article
Acoustics
Arezoo Talebzadeh, Dick Botteldooren, Timothy Van Renterghem, Pieter Thomas, Dominique Van de Velde, Patricia De Vriendt, Tara Vander Mynsbrugge, Yuanbo Hou, Paul Devos
Summary: This study proposes a sound selection methodology to enhance the soundscape in nursing homes and reduce BPSD by analyzing sound characteristics and recognition methods. The results highlight the sound characteristics that lead to positive responses, while also pointing out the need for further studies to understand which sounds are most suitable for people with dementia.
Article
Acoustics
Yang Yang, Yongxin Yang, Zhigang Chu
Summary: This paper introduces a grid-free compressive beamforming method compatible with arbitrary linear microphone arrays, and demonstrates the correctness and superiority of the proposed method through examples. Monte Carlo simulations are performed to reveal the effects of source coherence, source separation, noise, and number of snapshots.
Article
Acoustics
Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Summary: Computer-Aided Language Learning (CALL) is growing rapidly due to the importance of acquiring proficiency in multiple languages for effective communication. In the field of CALL, the detection of mispronunciations is vital for non-native speakers. This research introduces a novel framework using audio-centric transformer models to detect mispronunciations in Arabic phonemes. The results demonstrate that the UNI-SPEECH transformer model yields notable classification outcomes in Arabic phoneme mispronunciation detection. The comprehensive comparison of these transformer models provides valuable insights and guidance for future investigations in this domain.
Article
Acoustics
Yi-Yang Ni, Fei-Yun Wu, Hui-Zhong Yang, Kunde Yang
Summary: This paper proposes an improved method for compressive sensing by introducing a self training dictionary scheme and a CS reconstruction method based on A*OLS, which enhances the sparse representation performance of propeller signals.