Article
Acoustics
Yaochi Tang, Xiang-Jun Chuang
Summary: This study aims to measure the sound absorption coefficient (SAC) of acoustical materials using the impedance tube method (ITM) and predict the SAC obtained by reverberation room method (RRM) by establishing a dual model. Experimental validation shows that the proposed method is accurate and can meet the development needs of acoustical materials, while saving costs.
SHOCK AND VIBRATION
(2022)
Article
Construction & Building Technology
Sichao Qu, Min Yang, Yunfei Xu, Songwen Xiao, Nicholas X. Fang
Summary: This article explores the value and potential applications of acoustic metamaterials in small room acoustics, particularly in addressing the challenge of achieving uniform acoustic environments in rooms with significant cavity resonances. The proposed design of incorporating multiple subwavelength acoustic resonators demonstrates its robustness in meeting specific acoustic requirements, making it suitable for various confined spaces.
BUILDING AND ENVIRONMENT
(2023)
Article
Acoustics
Mostafa Sabbagh, Ahmed Elkhateeb
Summary: This study investigated the sound absorption characteristics of human body during Islamic prayer postures, finding that the body can absorb sound waves in the mid- and high-frequency bands with absorption depending on body posture. Results showed that standing in well-defined rows yielded the highest equivalent sound absorption area per object, while prostration yielded the lowest. The study also revealed the effects of clothing and carpets on sound absorption by the human body.
Article
Chemistry, Multidisciplinary
Kazuma Hoshi, Toshiki Hanyu, Ryoichi Suzuki, Daisuke Watanabe
Summary: The study found that sound absorption in dwellings influences the subjective evaluation of acoustics. Rooms with absorption coefficients above 0.17 can provide feelings of silence and serenity. The use of binaural recorded sounds in headphone listening tests can also effectively evaluate reverberance, silence, and serenity in rooms.
APPLIED SCIENCES-BASEL
(2021)
Article
Acoustics
Paul Didier, Cedric Van Hoorickx, Edwin P. B. Reynders
Summary: Standardised absorption measurements in reverberation rooms have low reproducibility at low frequencies and for highly absorptive samples. However, recent research has found that theoretical diffuse absorption can be obtained as an average value across different room geometries, even at very low frequencies. This study investigates the influence of room geometry, sound source positioning, and the presence of panel diffusers on sound absorption values in a specific reverberation room, focusing on the lowest frequency bands. Numerical simulations are used to model the room and simulate diffuse sound absorption measurements. The results show that certain room designs can achieve good agreement with theoretical diffuse absorption values for highly absorptive samples.
Article
Construction & Building Technology
Fabio Scamoni, Chiara Scrosati, Michele Depalma, Benedetta Barozzi
Summary: This study analyzed the acoustic performance of a novel indoor living wall and found that the sound absorption performance remained stable as long as the plants were healthy. The evaluation also confirmed that indoor living walls can improve the acoustic comfort of indoor spaces.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Azma Putra, Muhammad Nur Othman, Thaynan Oliveira, M'hamed Souli, Dg Hafizah Kassim, Irianto, Safarudin Herawan
Summary: The paper presents the sound absorption coefficient of acoustic absorbers fabricated from natural durian husk fibers. The results show that durian husk fibers can achieve a high absorption coefficient and can be used as effective sound absorbing materials. The optimized parameters for different densities were calculated using a mathematical model.
Article
Chemistry, Multidisciplinary
Takumi Yoshida, Yasutaka Ueda, Norimasa Mori, Yumi Matano
Summary: This paper introduces a crossed rib diffuser (CRD) as an effective tool for room acoustic control, showing better scattering performance and higher absorption efficiency when an absorbing layer is added. The study evaluates the effectiveness of CRD compared to 1D periodic rib diffusers through experimental investigations and measurements in a reverberation room.
APPLIED SCIENCES-BASEL
(2021)
Article
Materials Science, Composites
Emine Dilara Kocak, Hilal Olcay, Zehra Yildiz
Summary: In this research, polyurethane foam composites were prepared using various agricultural waste particles, and alkali treatment was employed to enhance the compatibility and adhesion between the waste particles and the PU matrix. The effects of the alkali treatment on the structural, morphological, mechanical, and acoustic properties of the overall PU foam composites were examined. The results showed that the alkali treatment had varying effects on the acoustic and mechanical properties of the PU foam composites due to the differences in chemical compositions of the agricultural wastes.
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES
(2023)
Article
Chemistry, Multidisciplinary
Nicola Granzotto, Ruoran Yan, Lamberto Tronchin
Summary: Equipment, sound sources, operators, microphone placement, calculation techniques, and thermal-humidity measurement conditions all affect the measurement of impulse responses with multiple channels. However, the thermal-humidity variable, which is an important factor impacting acoustic characteristics assessment, is often overlooked. This study investigates the effects of temperature, relative humidity, and air velocity on acoustic parameters through experimental activities in an experimental room. Statistical analyses based on R are used to analyze the relationship between acoustic parameter variation and thermo-hygrometric parameter variation, revealing relationships between thermal and hygrometric variables and interior acoustic characteristics.
APPLIED SCIENCES-BASEL
(2023)
Article
Acoustics
Sipei Zhao, Qiaoxi Zhu, Eva Cheng, Ian S. Burnett
Summary: This study introduces a database of Room Impulse Responses for multizone sound field reproduction research, by measuring RIRs in seven different rooms and simulating the performance of optimized systems in various rooms.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
Article
Acoustics
Yujun Zhao, Jinhui Xu, John Laurence Davy, Zhengqing Liu, Mohammad Fard
Summary: This paper compares different methods for measuring the random incidence sound absorption coefficient of porous materials and finds that impedance tube measurement and the empirical method can accurately predict the results above 400 Hz, while the results obtained in a small self-made reverberation room are consistent with full-size reverberation room results above 800 Hz.
Article
Materials Science, Multidisciplinary
Yifan Zhu, Aurelien Merkel, Krupali Donda, Shiwang Fan, Liyun Cao, Badreddine Assouar
Summary: The study introduces the concept of a nonlocal acoustic metasurface absorber using a bridge structure to improve performance, achieving ultrabroadband sound absorption with deep-wavelength thickness. The nonlocality introduces three specific effects, optimizing effective acoustic impedances, shifting Fabry-Perot resonant frequencies, and enhancing coupling effects between adjacent unit cells, contributing to improved bandwidth and efficiency.
Article
Acoustics
Ewa Witczak, Izabela Jasinska, Marek Lao, Iwona Krawczynska, Irena Kaminska
Summary: The study examined the acoustic properties of flat and relief fabrics, as well as jacquard wall fabrics, finding that the sound absorption coefficient values depend on the fabric structure and texture, which shapes the acoustic properties significantly throughout the frequency range.
Article
Acoustics
Antonella Bevilacqua, Gino Iannace
Summary: This paper discusses the acoustic analysis of three specific scenarios in the context of the Roman theatre of Pompeii. It focuses on the reconstruction of the original form, a future acoustic shell design, and a modern style velarium design. The calibrated digital model shows that the main acoustic parameters are within optimal values, resulting in significant improvement in the acoustic performance of the space.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Article
Acoustics
C. Buratti, E. Belloni, F. Merli, M. Ambrosi, L. Shtrepi, A. Astolfi
Summary: This paper presents the design and experimental analysis of the acoustic performance of the church of San Francesco al Prato in Perugia, Italy. Through experimental campaigns and simulation models, the authors optimized the acoustic behavior of the church, resulting in improvements in reverberation time and clarity index.
Article
Environmental Sciences
Arianna Astolfi, Giuseppina Emma Puglisi, Louena Shtrepi, Paolo Tronville, Jesus Alejandro Marval Diaz, Alessio Carullo, Alberto Vallan, Alessio Atzori, Ada Ferri, Francesca Dotti, And Francesca Dotti
Summary: This study investigates the effects of wearing masks during sports activities on physiological and voice parameters. The results show that masks B and S, which are suitable for sports activities, have good breathing resistance and filtration efficiency without adverse effects on voice production.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Engineering, Multidisciplinary
Andrea Prato, Raffaella Romeo, Rugiada Cuccaro, Alessandro Schiavi
Summary: In this paper, an experimental method for accurately measuring the complex dynamic elastic modulus of soft materials is proposed and applied to six polymeric soft materials. The method uses a standardized test set-up and laser-Doppler velocimetry to measure the dynamic modulus and damping properties of the materials over a wide frequency range with high resolution and low uncertainty levels.
Article
Engineering, Multidisciplinary
Andrea Prato, Davide Borgiattino, Alessio Facello, Fabrizio Mazzoleni, Alessandro Germak
Summary: This paper describes a calibration system using force standard machines integrated with tilted plates, which can apply force and moment components without modifying the machines, suitable for industrial applications.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Instruments & Instrumentation
Pierluigi Rizza, Marcello Murgia, Andrea Prato, Claudio Origlia, Alessandro Germak
Summary: In recent years, researchers have been studying the effects of various parameters on hardness measurements. This paper focuses on two parameters and their impact on superficial Rockwell hardness scales, and proposes a method for calculating uncertainties. The results align with previous studies and highlight the underestimation of uncertainties in other research.
Article
Chemistry, Analytical
Elia Landi, Andrea Prato, Ada Fort, Marco Mugnaini, Valerio Vignoli, Alessio Facello, Fabrizio Mazzoleni, Michele Murgia, Alessandro Schiavi
Summary: In the field of vibration monitoring and control, the use of low-cost multicomponent MEMS-based accelerometer sensors is increasingly popular. However, to ensure trustworthy and meaningful data, high accuracy and reliability of sensors are essential. A metrological approach to the calibration of these sensors, including uncertainty evaluations, is necessary but not fully available. This paper presents a dynamic calibration procedure applied to a low-cost multicomponent MEMS sensor accelerometer prototype to provide the sensitivity parameters.
Article
Engineering, Multidisciplinary
Pierluigi Rizza, Andrea Prato, Renato R. Machado, Alessandro Germak
Summary: In the field of hardness measurements, the effect of different measurement parameters on the measurement itself is not well understood. This paper addresses this issue by considering the uncertainty contributions of the experimentally obtained influence coefficients. The proposed method is applied to a case study to determine the tolerance limits of testing cycle parameters and verify their compliance with the expected uncertainty of the method.
Article
Acoustics
Rossella Cottone, Louena Shtrepi, Valentina Serra, Simonetta Lucia Pagliolico
Summary: The aim of this research was to find alternative uses for the waste generated from pruning olive trees, in order to prevent environmental pollution and waste of resources. The study showed that using the waste for indoor acoustic correction as a secondary raw material can be aesthetically pleasing and effective. By using plywood frames filled with loose olive pruning chips, the samples demonstrated good sound absorption properties.
Article
Chemistry, Multidisciplinary
Giuseppina Emma Puglisi, Michele Di Iulio, Pasquale Bottalico, Silvia Murgia, Patrizia Consolino, Massimo Spadola Bisetti, Giuseppe Pitta, Louena Shtrepi, Arianna Astolfi
Summary: This study investigated the influence of different types of face masks on speech intelligibility and listening difficulty in children with cochlear implants. It was found that wearing face masks can reduce speech intelligibility, especially in noisy environments and low signal-to-noise ratios. These preliminary outcomes help improve speech communication strategies in classrooms to support optimal listening conditions.
APPLIED SCIENCES-BASEL
(2023)
Review
Construction & Building Technology
Virginia Isabella Fissore, Silvia Fasano, Giuseppina Emma Puglisi, Louena Shtrepi, Arianna Astolfi
Summary: This review investigates the combined effects of indoor environmental quality (IEQ) on occupants' overall comfort in offices. The study summarizes research on IEQ perception and evaluation, IEQ indexes and parameters, factors influencing comfort perception, and representation of IEQ and comfort in space and time.
Article
Acoustics
Vaia Tsiokou, Louena Shtrepi, Elena Badino, Arianna Astolfi, Anna Karatza
Summary: This paper investigates the sound absorption performance of highly customizable 3D-printed Hybrid Acoustic Materials (HAMs) using parametric stepped thickness. The results demonstrate a good level of agreement and reveal better-than-expected performance at lower frequencies.
Proceedings Paper
Environmental Sciences
Arianna Astolfi, Alessio Carullo, Virginia Fissore, Giuseppina Emma Puglisi, Giuseppina Arcamone, Louena Shtrepi, Erica Raviola, Alberto Barbaro, Gustavo Ramirez Espinosa, Pietro Chiavassa, Edoardo Giusto, Gabriele Piccablotto, Fabio Saba, Davide Paesante, Giovanni Durando, Alice Lorenzati, Stefano Fantucci, Antonio Servetti, Bartolomeo Montrucchio, Franco Fiori, Anna Pellegrino, Vincenzo Corrado, Simona Paduos, Nicolas Sassoli, Jana Clerici
Summary: This work presents the design and development of a low-cost multi-sensor device for detecting the quality conditions of indoor environments. The device includes sensors for measuring temperature, humidity, illuminance, sound pressure level, carbon monoxide, carbon dioxide, particulate matter, formaldehyde, and nitrogen dioxide. Calibration procedures are developed to ensure the traceability of the measurements, and the effects of the device's design and sensor allocation are investigated.
2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR LIVING ENVIRONMENT, METROLIVENV
(2023)
Proceedings Paper
Engineering, Aerospace
Elvio Bonisoli, Marco Casazza, Domenico Lisitano, Stefano Averame, Marco Carlo Masoero, Louena Shtrepi
Summary: This chapter focuses on the qualitative identification of violin sonic areas generating different musical notes using the Simcenter Sound Camera. The experiment confirms the importance of the I' holes and air vibrations of the violin as the main sound sources and signature vibration modes.
SENSORS AND INSTRUMENTATION, AIRCRAFT/AEROSPACE AND DYNAMIC ENVIRONMENTS TESTING, VOL 7
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Andrea Prato, Francesca R. Pennecchi, Gianfranco Genta, Alessandro Schiavi
Summary: This paper presents a study on large-scale statistical calibration methods based on distribution sensitivity. The authors calibrated 100 digital 3-axis MEMS accelerometers and compared the calibration results using sensitivity distributions and fitting functions. The results show that the mixture distribution modeling based on Monte Carlo simulations can provide more accurate description of the sensitivity distribution.
PROCEEDINGS OF 2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0&IOT)
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Alessandro Schiavi, Ada Fort, Elia Landi, Marco Mugnaini, Valerio Vignoli, Andrea Prato, Fabrizio Mazzoleni, Michele Murgia
Summary: Low-cost multicomponent accelerometer sensors are widely used in the field of vibration monitoring and control. However, their reliability and calibration are essential to ensure trustworthy data. This paper presents a dynamic calibration procedure for a low-cost multicomponent accelerometer sensor prototype designed for rolling-bearings vibration monitoring.
PROCEEDINGS OF 2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0&IOT)
(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.
