Applied Acoustics最新文献

{"title":"A data augmentation approach for improving data-driven nonlinear ultrasonic characterization based on generative adversarial U-net","authors":"","doi":"10.1016/j.apacoust.2024.110208","DOIUrl":"10.1016/j.apacoust.2024.110208","url":null,"abstract":"<div><p>Nonlinear ultrasonic technology has a potential application for evaluating material property degradation due to its high sensitivity to microstructure evolution of metal materials. Machine learning methods can effectively solve the underdetermined inversion problem in microstructure inversion due to the complicated variation of the acoustic nonlinearity. However, the limited damage information caused by few damage data samples is still the main problem that restricts the intelligent development of nonlinear ultrasonic technology. This paper proposed a generation method based on Generative Adversarial Network (GAN) utilizing prior knowledge and partial data for generating realistic nonlinear ultrasonic STFT images with varying degrees of thermal damage. The nonlinear ultrasonic STFT images measured in this work are adjusted first and then input into the proposed GAN, the prior knowledge of the fundamental frequency and second harmonic is used to guide the generation process. Multiple convolution kernels in the U-net generator slide across the STFT images with multiscale receptive fields to collectively model hierarchical representations and capture local inversion of interesting from time-frequency domain. The results indicate that the proposed method can generate realistic STFT images, the fundamental and harmonic responses extracted from the generated STFT images are similar to the values in real images, and expand the nonlinear ultrasonic datasets and effectively improve the performance of deep learning models, which has been validated in grain size prediction examples.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smartphone-based active sound design for enhancing engine sound of vehicles","authors":"","doi":"10.1016/j.apacoust.2024.110203","DOIUrl":"10.1016/j.apacoust.2024.110203","url":null,"abstract":"<div><p>This study explores the implementation and effectiveness of smartphone-based active sound design (ASD) in enhancing the engine sound characteristics of vehicles. Traditionally confined to high-end automotive applications, ASD technology utilizes built-in audio systems to improve the auditory experience inside vehicles. This research extends the utility of ASD to standard production vehicles through integration with smartphones, leveraging Bluetooth connectivity for CAN-BUS data, such as engine speed and accelerator pedal sensitivity. The smartphone-based ASD system was implemented in a 6-cylinder gasoline engine sport sedan. Through driving tests, the synthesized engine sound was evaluated alongside real engine sound and artificial sound output, comparing both the smartphone-based ASD system and the conventional car audio-based system. Experimental results indicate that the smartphone-based ASD effectively emulates the sound enhancement capabilities of traditional systems, with minimal discrepancies in performance. This study confirms the potential of integrating ASD technology with consumer smartphones, offering a scalable and accessible approach to enhancing vehicle engine sounds. This expands the application scope of ASD and fosters innovation in automotive sound design.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel efficient calculation method for rotor aeroacoustic characteristics based on multiple aerodynamic surfaces source model","authors":"","doi":"10.1016/j.apacoust.2024.110204","DOIUrl":"10.1016/j.apacoust.2024.110204","url":null,"abstract":"<div><p>Based on the simplified acoustic source model of multiple aerodynamic surfaces, an efficient calculation method for rotor aeroacoustic characteristics has been established. Firstly, the aerodynamic characteristics database of the airfoil is obtained based on the Computational Fluid Dynamics (CFD) method. The inflow environment of each blade element is calculated using the free wake method, and the distribution of chord-wise loading is obtained by combining the established database. Subsequently, based on the F1A equation, a simplified formula for loading noise with pressure difference as a parameter is derived. The thickness noise is obtained from the blade shape and operating conditions, and the blade surface mesh is constructed by using the adaptive curvature distribution strategy of airfoil points. The validation is carried out by comparing with experimental values in the hover and forward flight states. Then, A hybrid weighted interpolation scheme is proposed based on inverse distance weighted interpolation (IDW) and bidirectional linear interpolation method, which is suitable for capturing blade/vortex interaction (BVI) noise. A set of parameters suitable for engineering applications is obtained through the parametric sensitivity analysis. The computational time and memory usage are reduced to 1/47 and 1/4 of the original amount, respectively. Finally, Using the above method, the influence of rotational speeds (<em>ω</em>) on rotor aeroacoustic characteristics are studied. The results show that <em>ω</em> and sound pressure level (SPL) are linearly related and the SPL decreases by approximately 5 dB for every 0.1 Ω decrease in <em>ω</em>. The rotational speed <em>ω</em>≈90 %Ω can effectively suppress rotor aeroacoustic levels, benefiting the stealth design of helicopters.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design, analysis, and experimental validation of a sonic black hole structure for near-perfect broadband sound absorption","authors":"","doi":"10.1016/j.apacoust.2024.110196","DOIUrl":"10.1016/j.apacoust.2024.110196","url":null,"abstract":"<div><p>Based on the benefits brought by the slow-sound effect and structural optimization design, we propose an enhanced sonic black hole (SBH) structure for low-frequency, broadband sound absorption. The proposed SBH consisting of five basic absorption units (BAUs), each of which includes a micro-perforated plate, a folded cavity, a slit and a trapezoidal cavity. This design features the micro-slit structure with the aim of producing additional resonance peak for broadband sound absorption. A theoretical method that integrates volume decomposition and coupling method (VDCM) and transfer matrix method (TMM) is proposed to predict absorption characteristics of the SBH. The data-driven Kriging surrogate technology is used to make the developed theoretical models very accurate in predicting absorption characteristics. On this basis, the optimal sizes of five BAU cavities are obtained by genetic algorithm (GA). The sound absorption coefficient of the optimized SBH structure is evaluated using theoretical formulas, finite element simulation and experimental measurements, good agreement is found. Numerical and experimental results demonstrate that the optimized SBH exhibits an absorption coefficient exceeding 0.9 within the frequency range of 100 ∼ 1600 Hz, showing a near-perfect broadband absorption. This study provides a fast, effective method for the design of the SBH structure aiming at sound absorption applications.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical modelling of sound radiation and transmission in buildings using the time-domain nodal discontinuous Galerkin method","authors":"","doi":"10.1016/j.apacoust.2024.110197","DOIUrl":"10.1016/j.apacoust.2024.110197","url":null,"abstract":"<div><p>This study presents numerical solutions for two vibroacoustic problems using the time-domain nodal discontinuous Galerkin (DG) method. The first problem is the impact sound radiation from a rectangular slab into a cuboid room, and the second is the sound transmission between two cuboid rooms with direct and flanking contributions. The structures are modelled as a three-dimensional solid governed by the linear elasticity equations, and sound propagation in the rooms is governed by the linear acoustic equations. In the impact sound radiation case, the normalised sound pressure is evaluated and compared to the one obtained by the modal expansion method. In the sound transmission case, pressure transfer functions between different positions are calculated and compared to those obtained by the finite element method (FEM). The upwind numerical fluxes in DG for both governing equations, as well as the coupling conditions, are presented. There is excellent agreement between the solutions obtained by the nodal DG and those obtained by the modal expansion method/FEM. Although minor discrepancies exist in the resonance frequencies and magnitude, the overall trend shows good agreement.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dominant duct azimuthal acoustic mode detection considering failed wall-installed microphones with amplitude or phase measurement biases","authors":"","doi":"10.1016/j.apacoust.2024.110201","DOIUrl":"10.1016/j.apacoust.2024.110201","url":null,"abstract":"<div><p>Reliable duct mode detection results are essential for aero-engine health condition monitoring and low-noise design. Harsh aero-engine measurement environments may cause biases in amplitude and phase measurements due to the failure of wall-mounted microphones, which will decrease the performance of advanced sparse representation algorithms for duct mode detection. In this paper, two strategies to detect the duct mode with the failed microphones are proposed. An optimization problem is constructed considering the low-rankness of theoretical array measurement and row-sparsity of the failed microphone measurements. The <strong>Strategy 1</strong> is based on the recovery of the theoretical array measurement. The recovered array measurement can be further used to detect the duct mode via the sparsity-induced duct mode detection algorithm (generalized minimax-concave penalty in this paper). With the simulation, the <strong>Strategy 1</strong> can not recover the theoretical array measurement completely. The <strong>Strategy 2</strong> is based on the removal of the failed microphone measurements. With the simulation and experiment, it turns out that the <strong>Strategy 2</strong> can detect the interested mode accurately.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calibrating high-precision transdu cer acoustic phase centers in outfield experiments: Track design, performance analysis and model improvement","authors":"","doi":"10.1016/j.apacoust.2024.110179","DOIUrl":"10.1016/j.apacoust.2024.110179","url":null,"abstract":"<div><p>Underwater acoustic positioning is applied in seabed exploration, resource development, and environmental monitoring. The transducer plays an essential role in enabling underwater acoustic localization. To address the issue of the non-coincidence between the acoustic phase center and the geometric center of the transducer, this paper proposes a high-precision calibration method for the acoustic phase center of a transducer, specifically designed for implementation in outfield experiments. This method involves creating a virtual long baseline by converting a fixed beacon into a moving point in the carrier coordinate system via coordinate transformation. The acoustic phase center of the transducer can then be reverse-calibrated. By combining principles of observability, symmetry, and round-trip behavior with changes in the original and virtual tracks, several unresolvable features and corresponding tracks are revealed which contribute to the calibration's precision. Additionally, an improved model to resolve mismatching in the outfield response mode is also established. Outfield experiment results show that compared to the uncalibrated acoustic phase center, the proposed method improves positioning accuracy from 0.63 m to 0.22 m. Compared with the internal field calibration method, the positioning accuracy is equivalent, furthermore, this method overcomes the defect of demanding requirement of measurement environment.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Influence of dimensions of wooden samples for determination of acoustic parameters and sound timbre” [Appl. Acoust. 196 (2022) 108895]","authors":"","doi":"10.1016/j.apacoust.2024.110206","DOIUrl":"10.1016/j.apacoust.2024.110206","url":null,"abstract":"","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0003682X24003578/pdfft?md5=586db6bc82d91f26158ebd8c35e3e715&pid=1-s2.0-S0003682X24003578-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Road-pavement classification by artificial neural network model based on tire-pavement noise and road-surface image","authors":"","doi":"10.1016/j.apacoust.2024.110194","DOIUrl":"10.1016/j.apacoust.2024.110194","url":null,"abstract":"<div><p>This study focuses on an artificial neural network (ANN) model for classifying pavement types using acoustic and image data. While conventional studies often use road-surface images for pavement classification, they face challenges with image quality degradation owing to external factors, such as sunlight angle, shadows, and lighting. Therefore, in this study, tire-pavement noise, which has different noise characteristics depending on the material and surface treatment, is used independently and in conjunction with image data for ANN training. To construct the training dataset, tire-pavement noise, and road-surface images are collected from 11 highway sampling sites in South Korea. Two simultaneous measurements are used: the tire-pavement noise is collected using the On-board sound intensity (OBSI) method, and the camera captures the road-surface images. 1/3 octave SIL, spectrum, MFCC, GLCM, and HOG are extracted from the raw data, and the ANN models are trained by these features. Using the spectrum as an input feature for the ANN yields a classification accuracy of 95.18%. However, the total number of parameters in the ANN is double that of the other models. To reduce the ANN size, 1/3 octave band SIL is used for training, and the model size is halved. However, the accuracy decreases by 13.47 percentage points. To overcome this significant decrease, the 1/3 octave bands SIL and image features were used to train ANN, simultaneously. This approach increases the accuracy by 93.85%. By training the ANN using MFCC, which is commonly used as an acoustic feature in other machine learning studies, the highest classification accuracy of 96.84% is achieved. Additionally, MFCC models are affected by the number of coefficients and the signal length. To include the dominant frequency of tire-pavement noise, more than 13 coefficients are used, a number generally known to be suitable for speech recognition. Increasing the number of coefficients from 13 to 40 improves accuracy by 1.17 percentage points. The interval for slicing raw WAV files is reduced to increase the training data and classify the pavement using shorter signals without statistically significant accuracy loss. Although accuracy does not decrease until the signal lengths reach 0.5 seconds, it rapidly decreases when the signal lengths become shorter than 0.4 seconds.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast ultrasonic ablation monitoring: An innovative approach using ultrasound RF signals and singular value decomposition","authors":"","doi":"10.1016/j.apacoust.2024.110202","DOIUrl":"10.1016/j.apacoust.2024.110202","url":null,"abstract":"<div><p>Microwave ablation (MWA) can rapidly lead to tumor cell necrosis by heating local tissues using electromagnetic field energy, making it a highly efficient modality widely utilized in clinical ablation surgeries. However, the lack of timely and accurate intraoperative monitoring methods is a critical issue that urgently needs to be addressed in MWA. This article introduces an innovative approach for real-time monitoring of ablation therapies by the combination of ultrasound radio frequency (RF) signal acquisition and singular value decomposition (SVD), which breaks through the limitations of current monitoring techniques during MWA procedures. Due to the difference in acoustic scattering properties between the gas generated in high-temperature ablated region and the non-ablated tissues, the current new method aimed to apply SVD analyses to ultrasound RF signals scattered from the tissues, through which the range of gas generation could be determined and then the ablation area could be estimated. Eventually, high-precision differentiation between ablated and non-ablated tissues could be achieved, enabling real-time adjustment and improvement of MWA strategies. Validated through <em>ex vivo</em> experiments on pig liver, this technique demonstrated a relative error in monitoring the size of ablation region of approximately 7%, indicating a strong correlation with actual ablation outcomes. The study indicated the proposed method should have great potential to improve the precision and safety of MWA therapy.</p></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}