bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of emotional responses between young and elderly individuals under different sound source conditions
Authors: PENG Jianxin , DENG Yunshi
Published: October 2024

In the paper, four types of sound sources were selected, including animal sounds, human behavior sounds, natural sounds, and machine sounds. Each type of sound source contains eight types of sound sources. Six discrete emotions with anger, happiness, sadness, disgust, surprise, and
fear are evaluated by young and elderly people through listening and questionnaire surveys under these sound source conditions. The results showed that machine sounds are more likely to cause emotions of anger and disgust, Natural sounds are more likely to trigger feelings of joy, sadness,
surprise, or fear. Most of the six basic emotions are correlated with each other. In terms of the difference in evaluation between young and elderly people, most emotional response trends and degrees to various sound sources between young and elderly people are similar basically, but there
are some sound sources that are obviously more likely to trigger related emotional reactions in young people, and less likely to trigger emotional reactions in elderly people. It provides a certain experimental reference basis for the sound environment design of urban public spaces.
Monitoring the short-term biological response of environmental noise in real-life sleep conditions
Authors: DEKONINCK Luc , VAN RENTERGHEM Timothy
Published: October 2024

A protocol is developed to measure the short-term biological response to environmental noise during sleep. It is designed as potential component in the Human Biomonitoring Program of the Flemish Government. The focus of the protocol is the user-friendliness and the use of non-invasive
but accurate technology. The sensor boxes are deployed without third party support using a simple set of instructions. The setup includes simultaneous indoor and outdoor spectral noise monitoring to discriminate between indoor and outdoor disturbances. Actimetry and heart rate are monitored
on-torso to detect potential arousals and awakenings. The data analysis is performed in a 10 second resolution and is based on the heart rate variability (HRV) of nine teenage subjects. The bedroom insulation is included using the difference between outdoor and indoor noise. The relevant biomarker
is the HF/LF ratio, a HRV parameter related to the activation of the autonomous nervous system, shows significant correlation with the environmental noise. Peak emergence and augmented background noise also result in enhanced activation of the autonomous nervous system. This novel approach
delivers an objective measure of the short-term biological effect of noise during sleep in real-life conditions. The affordability and low-invasive design allow large-scale deployment in future health studies.
Designing effective warning sounds: psychoacoustical considerations
Authors: KULLUKCU Berkay , LEE Jin Wook , ATAMER Serkan , ALTINSOY Ercan
Published: October 2024

Warning sounds are designed to get attention and prompt immediate action in dangerous situations. This paper examines the psychoacoustical factors that affect the effectiveness of warning sounds by looking at urgency perception and annoyance. Two listening tests were conducted, each
designed to investigate the effects of different parameters on warning sound perception. For the first set of tests, three parameters were manipulated: predominant frequency component, wave shape, and roughness perception. The second trial looked at the influences of frequency, specifications
in the German standards (DIN) for the warning sounds, effect of pulse rates, and musical tones. The results of the study demonstrate the importance of carefully considering psychoacoustical factors when designing warning sounds to ensure they are effective in alerting individuals to potential
hazards.
Accelerating the clean-SC and CMF beamforming deconvolution methods using neural gridcompression
Authors: GOMES LOBATO Thiago Henrique , SOTTEK Roland , VORLäNDER Michael
Published: October 2024

Deconvolution algorithms can considerably improve the spatial resolution of sound sources when applied to beamforming techniques. However, they are often associated with additional computation time, which can be prohibitive for real-time applications, especially when using high-resolution
scanning grids. Additionally, depending on the size of the problem, full deconvolution may not even be possible due to memory constraints. Recently, it has been shown that a neural network approach to compress the possible source directions can speed up the results of the DAMAS deconvolution
algorithm by orders of magnitude. In this paper, this neural grid compression preprocessing is evaluated for the CLEAN-SC and CMF deconvolution techniques, and it is shown that it is possible to achieve dramatic speedups without significant loss of accuracy and even improve the results in
some examples, especially for the CLEAN-SC technique.
Enhancing vibroacoustic reduced order models for digital twin development in industrial applications
Authors: BIZZARRI Davide , BERIOT Hadrien , ATAK Onur , VAN OPHEM Sjoerd
Published: October 2024

In recent years, the growing interest towards the Digital Twin has prompted extensive exploration in both academic and industrial domains. To realize this technology, the development of simulation models that seamlessly run parallel to the physical assets is necessary. Model Order Reduction
(MOR) plays a pivotal role, significantly easing the computational demands of 3D models while maintaining high fidelity. Krylov-based methods have proven successful in various vibroacoustic applications. However, state-of-the-art contributions employ suboptimal modeling strategies, leading
to computationally inefficient offline phases and limited scalability. The linear Finite Element Method (FEM) exhibits lower efficiency than high-order FEM; Astley-Leis infinite elements, used to enforce non-reflecting conditions, constrain models to spherical domains, proving inefficient
for elongated structures. In this work, advanced techniques-FEM Adaptive Order (FEMAO) and flexible infinite elements- are employed to alleviate the computational burden of the MOR process. The advantages of combining MOR, FEMAO, and flexible infinite elements are explored through various
numerical examples. Specifically, we highlight the efficiency of output-based MOR in handling models with a high number of inputs, showcasing practical applications, especially in electric motor noise analysis. In conclusion, these numerical techniques reduce the computational burden of the
offline phase, unlocking the Digital Twin for large-scale industrial models.
A study on classifying BSR noise in automotive door trim using a deep learning method
Authors: CHOI Jae Jun , KIM Jong Soo , CHO Won Hyung
Published: October 2024

In this paper, we demonstrated a deep learning model that can automatically classifies BSR(Buzz, Squeak, Rattle) noise in automotive door trim using convolutional neural networks. In the preprocessing process, sound features of door trim noises are extracted by using STFT(Short-time
Fourier Transform) algorithm to obtain spectrogram images for each noises we obtained from experiment. To classify various noises of door trim, those image data are labeled with its root cause, then it is trained with deep convolutional neural network. Furthermore, t-SNE (t-Stochastic Neighbor
Embedding) algorithm was used to visualize the effect of deep convolutional neural network we demonstrated. The classifier of the demonstrated method achieved with the accuracy of 96%.
The impact of marine traffic radiated underwater noise on the in the Baltic Sea
Authors: KLAUSON Aleksander , MUSTONEN Mirko
Published: October 2024

Continuous anthropogenic noise, generated by commercial shipping, is considered to exert a considerable pressure on the marine environment. Noise emitted by ships is mainly due to their propellers whose energy is predominantly at low frequencies and can interfere with the communication
of marine animals. The EU Marine Strategy Framework Directive (MSFD), has set the objective of achieving good environmental status of Europe's seas. In particular, anthropogenic underwater sound should be at a level that does not harm the marine environment. Here we present the first implementation
of the new framework for assessing the environmental status of low frequency continuous noise on a basin scale, carried out in the frames of the EU-funded HELCOM BLUES project. The assessment was based on modeled levels in two 125 and 500 Hz decidecade bands deemed relevant for the indicator
fish and marine mammals respectively. Sound propagation modelling, calibrated against underwater ambient noise monitoring data, results in statistical sound maps in species-specific frequency bands. The application of spatial thresholds allows the environmental status of marine areas to be
determined. Factors affecting the reliability of results are discussed.
Implementation of home OSAHS screening device based on sleep sounds
Authors: SONG Yujun , PENG Jianxin
Published: October 2024

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a common chronic sleeping respiratory condition. Screening for OSAHS approaches based on sleep breathing sounds has received much attention since it can provide fully noncontact monitoring at home. Deploying a diagnostic sound-based
OSAHS system on a smartphone not only interferes with regular phone use but may also pose privacy problems, as well as suffer from decreasing accuracy owing to device variances. This work describes a local OSAHS monitoring system implementation designed for a dedicated device to estimate the
apnea-hypopnea index and screening for OSAHS while doing away with concerns about the abovementioned issue. The OSAHS screening system is deployed on a Kendryte K510 (Canaan Inc.), a low-power RISC-V 64-bit CPU that has 2.5 TFLOPS, to analyze sleep breath sounds in a 9-s window. The design
results are relatively low-cost and efficient for screening severe OSAHS. The equipment can be further used as a platform to evaluate the performance of the OSAHS diagnosis model.
Experimental and numerical analysis of the vibrational behaviour of metallic structures filled with damping materials
Authors: MARION Matthieu , LOSSOUARN Boris , ROULEAU Lucie , VOISIN Arthur , LEBLOND Cédric , DEü Jean-François
Published: October 2024

This work focuses on characterizing and modeling the vibrational behavior of hollow metallic structures filled with damping material. Vibration tests are first carried on a hollow structure, then two filling materials are considered: a cast viscoelastic material and a granular material
composed of epoxy and polyurethane beads. Modal parameters (natural frequencies, modal damping and mode shapes) are extracted from the Frequency Response Functions with experimental modal analysis tools. Damping ratios greater than 5~\% are measured. Given the difference in the nature of the
filling materials, dissipation mechanisms are different. The effectiveness of a damping material depends on the type of structural modes (bending, torsion or wall mode) to be damped, and dissipation in filling materials cannot be modelled by a constant loss factor or viscous damping. Consequently,
a finite element modeling of the structure filled with viscoelastic material is proposed. Numerical modal parameters of the structure are correlated with experimental measurements. By extension, a bead mix material law, based on a fractional Zener model, is proposed, whose parameters are obtained
by inverse identification.
Method for improving sound projection performance based on linearly constrained minimum power algorithm
Authors: CHAOLIN Guan , YU Guangzheng , RAO Dan
Published: October 2024

Sound projection is a technique that utilizes directional sound sources to project sound wave onto reflective surfaces, aiming to create auditory events in the direction of projected sound, which can be achieved via loudspeaker arrays beamforming. Being limited by the focusing capability
of loudspeaker array, the direct sound that reaches the listener earlier than the projected sound can influence the localization perception of projected sound due to the precedence effect. Therefore, for sound projection, it is crucial to reduce the direct sound intensity relative to the projected
sound. In this study, a beamforming method of weakening direct sound is proposed to improve the performance of sound projection. Based on the linearly constrained minimum power algorithm, where a beamforming null is set in the direction of direct sound, a beamformer for a 16-unit linear loudspeaker
arrays is designed to reduce the level of direct sound. Then, the ratio of reflected sound to direct sound (R/D ratio) is used as a criterion to evaluate the performance of the proposed method by simulation. The results show that the proposed method has significantly higher R/D ratio compared
to the traditional time delay method, which validates the effectiveness in reducing the level of direct sound.
Expanding road noise cancellation to higher frequencies
Authors: KIM Geon-Seok , FENG Tao , HINZ Michael , SCOTT Trevor
Published: October 2024

Active vehicle Road Noise Cancellation (RNC) systems effectively reduce persistent vehicle rumble and booming noise which is very difficult to control with traditional NVH measures, particularly at low frequencies. Therefore, more and more vehicles are adapting RNC systems in their
production applications. Most current RNC systems cancel low frequency structure-born noise, which is typically below 400 Hz. Although it provides appreciable noise attenuation, remaining high frequency noise contents still requires mitigation for a premium cabin experience. This study targets
a next generation RNC system development which extends noise cancellation frequency range up to 1 kHz. High frequency RNC system (HF-RNC) development begins with analyzing limiting factors of the current RNC systems. Theoretical and practical limitations of the current system are discussed.
Then, new technology and enablers to overcome those limitations are introduced. New enablers investigated herein in includes feedforward microphones, low latency system, headrest speakers and microphones, and head tracking system. HF-RNC system architecture is defined to comprise extended
features and enablers. Low latency software is ported into a development platform which is based on a commercial DSP. The new HF-RNC system demonstrates noise cancellation up to 1 kHz when applied to an electric vehicle.
The development of an AVAS for enhancing the robustness of acoustic performance and reducing interior noise in a cabin
Authors: PARK JONG-SUH , NAM Ho Seok , BOK Dami , NOH Jung Uk
Published: October 2024

All the electric vehicles are required to provide warning sound by AVAS (Acoustic Vehicle Alert System) for the safety of pedestrians. AVAS sound should satisfy the regulations outside a vehicle while noise caused by the AVAS should be maintained below a level inside a cabin. Nowadays,
it becomes difficult to fulfill these goals since various sensors for automotive drive are newly introduced in the space where the AVAS is traditionally located and an open area to emit sound is decreased to improve an electric efficiency of a car. Since the AVAS performance is very sensitive
to a small change of the cavity, the increased complexity of the cavity makes it more challenging to develop a robust AVAS. The purpose of this study is to suggest a new AVAS for enhancing the robustness of acoustic performance as well as reducing interior noise in a cabin. Firstly, a series
of simulations are carried out to closely investigate various design factors of the AVAS. Secondly, the improved performance of the new AVAS is shown through tests and simulations. Thirdly, a method to decide the optimal speaker location is newly suggested by simultaneously considering crucial
performance factors obtained from multiple vehicle level simulations.
Sound quality evaluation and quantification for power seat operating noise
Authors: YAMAUCHI Kento , YOSHIDA Junji , MIZOI Kensuke
Published: October 2024

In recent years, vehicle interior condition at running has been quiet due to progress of noise reduction technology. On the other hand, quietness is not required only at running condition but also at parking where slight operating noise is generated by various devices. In this study,
we then focused on an operating noise during power seat operation as one of the devices radiated noise in cabin. The impression to power seat operating noise were investigated through subjective evaluation test. For the test, power seat radiated noise at various operating modes and seat types
were recorded binaurally and presented in the subjective evaluation test. Participants evaluated the presented sound quality in several evaluation terms such as "loudness," "pitch," and "discomfort." As the results, representative power seat operating mode, in
which sound impression varies widely among presented sounds, was found out and suitable evaluation terms for describing the sound quality characteristics well were also extracted. In addition, the representative sound quality tendency was attempted to be evaluated quantitatively using psychoacoustic
metrics from recorded sound pressure signal of the power seat.
Mesh registration-based boundary element method of head-related transfer function: unification of hair impedance boundary conditions
Authors: WANG Yewewei , YU Guangzheng
Published: October 2024

In the calculation of Head-Related Transfer Functions (HRTFs) using the Boundary Element Method (BEM), the head surface of a subject needs to be discretized into boundary elements with specific impedance. To simplify HRTF calculation, a method for coupling Mesh Registration and BEM
(MR-BEM) is proposed in this work, which means that a template mesh for calculation is established to register and generate the calculation mesh of a new head model, to replace the tedious operations of boundary conditions configuration. To validate the proposed method, the widely-used KEMAR
artificial head model was adopted to compare the HRTFs of two groups of calculation meshes manually assigned and automatically registered impedance boundary conditions, respectively. Based on the inherent similarities in head shape and hair regions across individuals, the non-rigid impedance
was set only for the hair region. Although the reflections from the non-rigid impedance of hair and clothes were shielded by pinnae in practice, this work just aims to validate the feasibility of the MR-BEM, which is significant for the simplification of BEM-based HRTF calculation.
A non-linear local active noise control with integrated virtual sensing using an adaptive hybrid spline filter
Authors: KARTHIK M. L. N. S. , JOEL S. , SOMMNATH Pradhan , NITHIN V. George
Published: October 2024

Virtual sensing technique has been a promising means for local active noise control (ANC) to surpass the design constraint of error microphone placement at a desired location. Most existing systems which use virtual sensing employ an finite impulse response (FIR) filter based adaptive
filter for achieving noise cancellation. However, the effectiveness of such ANC systems deteriorate in the presence of non-linearities in the system. In this paper, an attempt has been made to develop a class of non-linear ANC systems, with integrated virtual sensing, based on adaptive spline
filters. These include a Wiener model, a Hammerstein model and a sandwich Hammerstein-Wiener based hybrid model of non-linear ANC. The learning algorithms for the proposed ANC schemes have been developed and it was observed that the adaptive nature of the activation functions allow the ANC
system to shift from linear to non-linear and vice versa depending on the control scenario. The simulation results demonstrate that the hybrid spline based ANC system provides an improved noise reduction performance in non-linear scenarios in comparison with other ANC schemes.
Damage detection by means of broadband local wavenumber estimation in plate-like structures
Authors: EGE Kerem , MONNIER Thomas , ALLOIS Davide , LECLèRE Quentin
Published: October 2024

This short communication evinces the ability of the CFAT methodology [Q. Leclère, JSV, 2015] to detect and characterize thickness-loss defects on homogeneous flat panels. A contactless measurement of the velocity field of an aluminium plate is performed by scanning laser vibrometry,
from which the equivalent rigidity (apparent bending stiffness) is locally estimated within a wide frequency band in the ultrasonic domain. The method allows imaging thickness-reduction defects on the hidden face of an aluminium plate up to several hundreds of kilohertz. The first part details
the experimental protocol, followed by a second enhancing the identification of the wavenumbers of symmetric S_0 and antisymmetric A_0 modes. The comparison with theoretical Lamb waves dispersion curves reveals the precision of the method. Finally, the methodology validates the possibility
to precisely estimate the local material thickness and as a consequence the location, size and depth of a reference defect in the shape of a flat bottom hole (assuming homogeneous material properties of the plate).
Building noise maps in Uruguay: a practical methodology
Authors: GONZáLEZ Alice Elizabeth , GIANOLI KOVAR Pablo , SUAREZ DORES Ignacio , CAMPELLO Héctor
Published: October 2024

Uruguay is a small country in Latin America, with around 3400000 inhabitants. Its environmental legislation is still incomplete; for example, there is no national regulation on noise but only departmental Ordinances in each of its 19 Departments. Although it is well-known that they
are very good management tools, noise maps are not mandatory in Uruguay. The Research Group on Environmental Noise at Universidad de la República has developed a research project that seeks the best practical methodology to build noise maps through manual measurements. The field work
included the determination of the stabilization time of noise measurements, the comparison between long- and short-time measurements, the comparison between measurements taken at 1,20 m and 3,50 m, and the obtention of a national curve of highly annoyed people (%HA) with basis in the field
measurements and simultaneous survey carried out on site. In this paper we present the results of these works and the proposed methodology for building noise maps throughout the country.
Restorative benefits of soundscapes for individuals with psychological disorders
Authors: LI Yajing , XIE Hui , ZHU Fanyi , LV Min
Published: October 2024

Mental health is a significant focus in the global public health domain today. Soundscapes have been identified as having positive environmental restorative benefits, yet the discussion on the mechanisms through which soundscapes contribute to the recovery from psychological disorders
remains insufficiently explored. To guide the creation of restorative soundscapes in psychotherapy settings, this article adopted an "exposure-response" research paradigm. Through a soundscape intervention experiment involving 98 participants, it analyzed the perceived restorativeness
evaluations and both physiological and psychological responses of populations with different psychological states. Overall, this article explored the restorativeness of soundscapes for individuals with psychological disorders in a solitary listening condition, with specific soundscapes such
as rain sounds, bird songs, and river sounds demonstrating restorative effects. Individuals with psychological disorders rated rain sounds highest, while psychologically healthy individuals gave the highest ratings to bird songs.
Profiling the thermal damage gradient in concrete using linear and non-linear ultrasonics
Authors: FENGAL Massina , MORA Pierric , GENNESSEAUX Eric , PAYAN Cédric , SHOKOUHI Parisa , DEROBERT Xavier , PALMA LOPES Sergio , ABRAHAM Odile
Published: October 2024

Processes such as carbonation and thermal damage result in a depth-dependent variation in concrete mechanical properties, which are typically characterized by invasive sampling and destructive testing. In this study, several ultrasonic testing methods are employed to nondestructively
measure gradients in elastic properties within concrete and mortar slabs, induced by varying amount of exposure to elevated temperatures. The slabs are subjected to two distinct heat exposures, carefully chosen to create different gradients within the first few centimeters below the surface.
The first exposure scenario following the ISO fire standard led to superficial damage. Deeper damage was achieved with radiant panels. We use linear and non-linear ultrasonic testing, with the aim of characterizing the resulting property gradients including refracted P-waves, analysis of surface
wave dispersion and higher harmonic generation. Additionally, we employ NRUS (nonlinear resonant ultrasound spectroscopy) to test slices extracted from the different depths within the slabs. The ultrasonic test results are benchmarked and interpreted in relation to a suite of other multiphysical
measurements (resistivity, capacity, temperature). This work represents a first crucial step towards the development of a new method for measuring gradients of nonlinear elastic properties within concrete through nondestructive ultrasonic testing.
Enhancing subjective spaciousness for stereo reproduction in car-size acoustical enclosures based on audio signal decorrelation
Authors: YU Guangzheng , GONG Zhe , XIE Bosun
Published: October 2024

Audio signal decorrelation has been used for enhancing the spaciousness of auditory source width (ASW) in a stereo reproduction. However, the acoustic environment in car-size acoustical enclosures is quite different from that in a home theater or listening room. Due to the small cabin
size and the substantial presence of absorptive surfaces, the reproduced sound field in car-size acoustical enclosures is characterized by the interior mode region up to some hundreds or one thousand hertz and fast decay of pressure at higher frequencies which could affect the perceived performance
of audio signal decorrelation. Therefore, the present work evaluates the effect of reflections in an acoustical enclosure model with car-size on the ASW enhanced by decorrelated audio signals, which reproduced by a standard stereo system. The decorrelation algorithm is handled by all-pass
filters sets based on a pair of reciprocal maximal length sequence (MLS). Last, a subjective assessment experiment of ASW validates that appropriate decorrelation method can improve perceived spaciousness for sound reproduction in car-size acoustical enclosures.
Sound absorbers from walnut shell waste: measurement and models
Authors: ATTENBOROUGH Keith , SHEIKMOZAFARI Mohammad , TABAN Ebrahim , FARIDAN Mohammad
Published: October 2024

Waste walnut shells have been cleaned, dried, chopped, glued, pressed, and molded to form porous cylinders for measurement of normal incidence sound absorption coefficient spectra in an impedance tube. Porosities and flow resistivities have been measured non-acoustically. Field Emission
Scanning Electron Microscopy images, used to obtain fragment size for determining shell density, reveal that the fragment surfaces are rough, which may influence acoustical performance. Measured absorption spectra have been compared with predictions of two analytical models for acoustical
properties of rigid porous media, which assume microstructures of identical uniform parallel slanted slits (SS) and non-uniform cylindrical pores with a log normal radius distribution (NUPSD) respectively. Measured values of flow resistivity and porosity are used in the models but tortuosity
is adjusted to give best agreement with the quarter wavelength resonance in the measured absorption coefficient spectra. Predictions agree best with data for samples made from the smallest shell fragments. These samples have the highest values of tortuosity, flow resistivity and offer good
absorption at speech frequencies which suggests that recyclable and sustainable sound absorbers made from walnut shell wastes could be useful for controlling indoor reverberation..
Sound quality evaluation in special vehicles based on multiple linear regression
Authors: SHEN ZHENGHUA , QIAN Kun , WANG YANFU , LIU KE , TAN JING , XIKANG Du , JIYING Duan , ZHAO JIAN
Published: October 2024

The issue of interior sound quality in specialized vehicles has received widespread attention, which could directly affect the riding comfort of the vehicle. This research primarily focuses on the objective quantification of subjective perception of sound qualitySQ in special vehicles.
The noise of special vehicles under different working conditions is measured and analyzed, and psychoacoustic parameters and A-weighted sound pressure levels are calculated. The subjective evaluation of interior sound quality was conducted using the grading scale method. A multiple linear
regression model is used to establish the correspondence between subjective perceptions and objective parameters. It provides a reference basis for evaluating the sound quality of special vehicles.
Soundscape augmentation as a nonpharmacological intervention to reduce the behavioural effect of dementia: a randomized controlled trial
Authors: TALEBZADEH Arezoo , BOTTELDOOREN Dick , THOMAS Pieter , STEWART Steven , VAN DE VELDE Dominique , DE VRIENDT Patricia , DEVOS Paul , IABONI Andrea
Published: October 2024

Soundscape is an important environmental factor that influences people's behaviour and well-being. People with dementia can benefit from a personalized soundscape to improve the behavioural and psychological syndrome of dementia. This paper is based on a single-blind, repeated-measure
pilot randomized clinical trial of soundscape augmentation on the treatment effect of people with severe dementia. Participants were randomized to a personalized soundscape intervention delivered in their room in the morning and evening or treatment-as-usual, with two baseline weeks and four
weekly post-randomization assessments of the primary and secondary behavioural outcomes. A linear mixed effects model showed that the soundscape intervention was possible and acceptable. There were improvements in the Neuropsychiatric Inventory (resistance to care) and a significant reduction
in aggression in the soundscape group. This study is the first pilot randomized controlled trial of a soundscape intervention for older adults with dementia to improve the behavioural and psychological syndrome of dementia. In this pilot study, soundscape augmentation was a feasible and effective
non-pharmacological approach to reducing resistance and improving participants' behaviour. Further studies with larger samples are recommended to confirm our findings. Longitudinal studies are necessary to investigate the long-term effect of an augmented sonic environment on people with dementia.
Study on the effect of viaducts vibration by truck platooning experiments
Authors: IKEYA Kimikazu , MAEDA Naoto , IWABUKI Hiroshi , KAMIAKITO Noboru , FUAKDA Saiji , SANO Yasuyuki
Published: October 2024

Japan is currently grappling with a shortage and aging workforce of truck drivers, alongside the pressing need for improved fuel efficiency. In response, the Ministry of Economy, Trade and Industry (METI) and the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) have set
a goal to achieve autonomous driving technology, facilitating truck platooning with no drivers in following trucks on expressways. METI and MLIT have initiated demonstration tests for an autonomous driving system featuring truck platoons traversing expressways, with no drivers in following
trucks. When multiple trucks form a platoon on a viaduct, both the trucks and the viaduct may generate coupled vibrations, leading to significant viaduct vibrations. Nonetheless, the authors consider that it is possible to reduce the vibration of the viaduct by specifying the platooning conditions.
The aim of this study was to examine the impact of truck platooning on viaduct vibrations. Vibration simulations and truck platooning experiments were conducted on an existing viaduct. The findings confirmed that, under the conditions of present experiments, there exists a distance between
trucks that can reduce vibration when two trucks are travelling in a platoon compared to travelling alone.
Simplification of Johnson-Champoux-Allard-Lafarge model on fibrous materials
Authors: YANG Tao , MAEDER Marcus , VENKATARAMAN Mohanapriya , MARBURG Steffen
Published: October 2024

The Johnson-Champoux-Allard-Lafarge (JCAL) model, a pivotal framework in acoustics for analyzing sound absorption in fibrous materials, presents challenges in practical implementation due to its complexity. This paper introduces a refined variant of the JCAL model explicitly tailored
for fibrous materials, aiming to balance accuracy and computational efficiency. The proposed model retains essential physical principles while simplifying computational intricacies, enhancing its usability for real-time applications and large-scale simulations. Through comprehensive validation
against experimental data, we demonstrate the efficacy of the simplified model in accurately characterizing the sound absorption behavior of fibrous materials. This study contributes to advancing the practical applicability of the JCAL model, facilitating its broader adoption across various
acoustic engineering domains. The proposed simplification approach holds promise for accelerating research and development in sound absorption materials and acoustic design methodologies within scientific and engineering communities.
On the reduction of FEM models dealing with vibrations propagation from ground to buildings
Authors: GILLOT Gautier , LETHUILLIER Tony , LAULAGNET Bernard
Published: October 2024

The problem of ground-borne vibrations in contact with a building's basement is crucial to the comfort of people living in buildings located very close to roads or railway tracks. The numerical finite elements models used to describe this situation are heavy to compute: it must combine
the complexity of the building with the large dimensions of the soil. We propose a method to reduce the model computation cost while keeping accurate results. The goal of our study is to remove the ground from the model by applying efforts and boundary conditions to the building foundation
to reproduce the soil/structure interactions. The full model of a simple building with a basement on a single-layer soil is studied to extract the coupling stresses. Corresponding efforts are applied to the building alone, with several boundary conditions tested. The results show similar vibration
levels on the building floors, for a far lower time of computation.
Feasibility of an acoustic liner applied to a Fenestron: experimentation
Authors: LAFONT Victor , SEBBANE Delphine , SIMON Frank , PINACHO Jean-Paul , CAILLET Julien
Published: October 2024

A helicopter's anti-torque system is a significant contributor to radiated noise. The Fenestron, used on Airbus Helicopters, allows to mitigate the anti-torque noise by masking effect and modulation of the blade distribution. However, unlike aircraft engine nacelles, it does not contain
acoustic liners inside the duct to absorb the noise radiated by the rotor blades. This paper describes: first, the (aero-)acoustic tests applied to different acoustic liners optimised to be integrated into a 1/3-scale fenestron mock-up, in order to provide a specific impedance (measurement
in impedance tube and aeroacoustic bench); second, the configuration of a mock-up installed in an anechoic room, with an acoustic antenna; third, the acoustic pressure mitigation obtained for several diffusers equiped with liners (variation of RPM and pitch for the purpose of the experiment).
It appears that the tested liners are likely to provide a high absorption coefficient in a large frequency range and a significant attenuation when installed in the Fenestron mock-up, in accordance with preliminary simulations. Another paper completes the study with a preliminary numerical
assessment of the effect of an absorbing treatment introduced inside the collector or the diffuser, and a design optimization applied to different acoustic liner types, adapted to the mock-up.
An analytical dynamic stiffness method for efficient broadband vibro-acoustic analysis of complex built-up structures
Authors: ZHAO Xueyi , LIU Xiang
Published: October 2024

An analytical modelling technique is presented, combining the dynamic stiffness method (DSM) with the spectral DSM (SDSM) for the broadband vibro-acoustic analysis of complex built-up structures. In particular, the structures are modelled exactly by the DSM based on particular solutions
tailored for general acoustic or distributed force excitations; whereas the acoustic cavities are modelled by the SDSM where the boundary conditions are described by modified Fourier series with a rapid convergence rate. The vibro-acoustic coupling along the interfaces between the structures
and the cavities is achieved by applying the normal velocity continuity condition, leading to a coupling matrix in an analytical manner. Both structural and acoustic cavity elements are assembled directly to model complex vibro-acoustic systems and no extra element discretization is required
for both structural and acoustic domains. Consequently, the proposed method uses very few degrees of freedom (DoFs) but describes the broadband vibro-acoustic behaviour highly accurately. It is demonstrated that the proposed method exhibits a predominant advantage over the finite element package
COMSOL in terms of accuracy and computational efficiency. This approach also has the potential to serve as the benchmark for a wide range of vibro-acoustic problems.
Sonagining the workspace : a user-centric workshop
Authors: MARCHAL Théo , CAHEN Roland
Published: October 2024

The Laboratoire d'Expériences du Bureau (LEB) is designed as an experimental, educational and experiential space for workspace designers. Its purpose is to provide a better understanding of the implications of design choices on the likely sound experience of people at work. Equipped
with a set of mobile acoustic devices, an sound ambience generator software and a multi-channel sound system, it reproduces a range of sound phenomena and immerses listeners in a range of sound ambiences in a work situation. Users are helped to gradually become aware, through sound experience,
of the implications of their design choices. The process is part of a research approach to the design of sound devices based on the ideation of new paradigms and the modeling of hypothesis. This article intends to present the key concepts of the project, how it differs from other comparable
approaches, its state of progress as well as the limits and difficulties encountered.
Mimicking Human Hearing with Topologically Optimized Structure
Authors: LI Zhaohua , CHENG Li , LI Yangfan , YU Xiang
Published: October 2024

The remarkable auditory capabilities of human ears have inspired the development of bio-inspired acoustic sensing technologies. In this study, a topology optimization problem is formulated to replicate the hearing profile of the human ear and is solved using a gradient-based optimization
method. To ensure manufacturability and mesh independence, a density filter is employed to eliminate gray scale transitions between solid and void regions. The objective function is defined to minimize the error between the human's Head-Related Transfer Function (HRTF) of a reference structure
and the designed domain in specific frequencies and directions. Numerical simulations demonstrate that the optimized structure exhibits similar acoustic characteristics and spatial directivity to that of the ideal human ear at the designated frequencies. The proposed structure and optimization
method show great potential for applications such as 3D audio rendering, hearing- aid design, and sound source localization.
Acoustic and vibrations measurments in an autonomous shuttle bus
Authors: DUNEZ Philippe , POT Geoffrey , DUNEZ Virginie , BUGAJNY Christine
Published: October 2024

In response to the ADEME's call for Autonomous Road Vehicle Experimentation projects, a consortium was created to propose the SAM project about Safety and Acceptability of Autonomous Driving and Mobility. It was composed of industrial and research teams, associated with local partners.
SAM is a national project involving large-scale trials of autonomous driving and mobility on open roads. The assessments covered several topics, including environmental impacts, focusing on air pollution, noise and the life cycle of components. Cerema proposed a methodology to characterize
acoustic and vibration levels for autonomous driving in the specific site near Paris. The tests consisted in instrumenting the interiors of an automated shuttle and a conventional car to determine the user's feelings. The vehicles were driven in a quiet area and in a high traffic area. The
results displayed by Cerema are based on statistical studies on 20 vehicle passages for each experiment. The indicators were characterized for the entire route and by homogeneous sections. In fluid navigation situation, the measurements showed that the acoustic and vibration impacts are minimal.
However, the tests have highlighted the effects of the lack of anticipation of an automated shuttle during specific events requiring rapid braking.
Soundscape Architecture: conceptual proposals for improving the urban soundscape through building in Fort Lauderdale, FL
Authors: GOLD Martin , SIEBEIN Gary , SIEBEIN Keely
Published: October 2024

Architecture students from the University of Florida School of Architecture developing architectural and planning strategies in response to citizen generated initiative to improve the soundscape at multiple locations in Fort Lauderdale Florida. Site analysis including citizen participation
in sound walks, personal observations, photo documentation, precedent studies, acoustic measurements, geographical measurements, and municipal code studies was conducted. This information informed conceptual and schematic design proposals for urban architecture (buildings), at critical locations
in the urban fabric that seek to provide strategies toward improving the soundscape while supporting high residential density, mixed-use, entertainment, and transit. The work includes 11 student project proposals spanning two academic semesters. The work illustrates integrated design proposals
addressing aspects of urban soundscapes such as: vertical distance as effective sound abatement strategy; buildings as acoustic buffers from transit or noisy streets; building envelope systems that both limit sound transmission and absorb sound; sound diffusing buildings; parking or limited
occupancy program as buffer spaces; and land development code adoptions that can facilitate future implementation of effective soundscape improvement strategies. This paper will demonstrate the design process, issues of concern, prioritization of issues per specific sites, and show illustrations
to visualize a range of soundscape strategies as architecture.
Investigation of friction noise in linear bushing by frequency domain analysis and theoretical model
Authors: KIM YeoRM , KIM Byeongil
Published: October 2024

Linear bushings, unlike existing bearings, are a system that enables linear movement of the axis. This has the advantage of allowing efficient motion due to low friction as it operates through the rotation of the ball, but has the problem of generating noise due to friction between
the shaft and bushing. The purpose of this study is to identify the causes of friction noise by checking the frequencies contained in the bushing noise. To this end, a theoretical model is established by referring to conventional LM(Linear Motion) guide research that has similar behavior to
bushings, and the reliability of the model is verified through experiments. To simulate actual driving situations, an experimental setup consisting of a fixed support shaft, motor, etc. is created and the noise of original and defective bushings is measured. Through this, commonly included
frequencies are detected, and analyze how the frequencies change depending on faults.
A development on the interior noise prediction technology using active noise control algorithm
Authors: OH Chisung , KANG Jong gyu , LEE MOONSEOK
Published: October 2024

When developing NVH of a vehicle, identifying a noise transmission vulnerable path is a very important task. The traditional TPA(Transfer Path Analysis) is based on a physical theoretical equation and calculates the contribution of each path by multiplying the ATF(Acoustic Transfer
Function) of each path by the driving load. In this case, it is often difficult to calculate the driving load, and M/H consumption is also high. OTPA(Operational Transfer Path Analysis) performs transfer path analysis only with driving signals for each route, but has a disadvantage of insufficient
physical causality. In this study, we proposed an efficient indoor noise TPA method that modifies the ANC algorithm by combining the reference signals while driving with the secondary path of Filtered-X LMS. The proposed method uses the secondary transfer function of Fx-LMS as the ATF for
each path. It is not necessary to obtain physical load by predicting target noise with the Ref signal for each route. Therefore, it is possible to predict indoor noise with low M/H. In this study, it can be confirmed that the proposed method shows similar results compared to the existing methods
and efficiently identifies main noise path for interior noise.
Neural-network-based sound source localization from unmanned aerial vehicles
Authors: CUI Zhenming , SHI Tongyang , WU Ming , YANG Jun
Published: October 2024

As a mobile platform, unmanned aerial vehicles (UAV) can carry optics and acoustics sensors recording visual and audio information from ground. Over the past decade, UAVs are widely used in different applications, e.g., search and rescue, pipe leakage detection, etc. Compared with visual
information, audio information is challenging to capture from UAVs due to the strong ego-noise generated by the rotating motors, propellers on the UAV as well as the motion of the UAV, which result in a low signal to noise ratio (SNR) of the received acoustics signals. With the contaminated
signals, the performance of sound source localization algorithms, e.g., conventional beamforming, is severely degraded. To improve the quality of sound source localization result, different sound source enhancement algorithms have been proposed by researchers. In this paper, simulation experiments
were conducted to study the potential of apply convolutional neural networks (CNN) to improve the beamforming result. It was found that with CNN, the estimation of a single point sound source location and source strength can be improved. The model's localization accuracy and source strength
estimation accuracy were evaluated respectively.
Introduction of oblique plane waves through a forcing source term in Euler equations
Authors: COCO Giovanni , BAILLY Christophe , DRAGNA Didier , POSSON Hélène
Published: October 2024

The propagation of shock waves generated by a transonic flow at the tip of a propeller blade is numerically calculated in order to determine the pressure footprint on an aircraft fuselage. An academic case is first proposed to validate the methodology. An incoming signal is built up
as oblique harmonic plane waves. The signal is introduced in the computational domain using a Gaussian volume forcing term in the conservation of mass and energy equations. The Euler equations are solved in two dimensions using finite-difference schemes with low dispersion and dissipation.
Selective filtering has also been integrated in the algorithm to remove grid-to-grid oscillations. The numerical solution is compared to an analytical solution based on the tailored Green function. An illustration for a realistic open rotor is then considered. The pressure signal near the
blade tip, determined from a preliminary RANS simulation, is introduced using a volume source in a solver of the Euler equations.