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18 August 2026, Volume 46 Issue 4 Previous Issue   

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Study on the Effect of Scatterer Symmetry on the Bandgap of Two-dimensional Local Resonant Phononic Crystals 2026, 46(4): 8-13.  Abstract ( )   To obtain both low and wide local resonant bandgap for two-dimensional (2D) three-component (3C) phononic crystals (PCs), in this paper, bandgaps properties for PCs embedded with scatterers of various symmetries based on the same filling fraction are studied using finite element method (FEM), and the effect of scatterer symmetry on the bandgap and its vibration attenuation was analyzed in detail. Results show that local resonance PCs with scatterers of higher symmetry (circle) possess the lower bandgap but the narrower bandwidth. The directional bandgaps can be opened for PCs including the non-symmetric scatterer, such as ellipse and rectangle. The maximum attenuation in bandgaps of PCs is largely related to the symmetry, parity of symmetry number of scatterers. The local resonant peak related to close resonant frequencies of different symmetric scatterers always appears in the first bandgap for multi-oscillator structure embedded with scatterers of varying symmetries, which leads to the only two bandgaps are always presented between 0 Hz and 600 Hz. Further, a multi-oscillator structure with a complete low-frequency bandgap is proposed using the above properties of local resonant peak, which provides a suggestive idea for designing vibration attenuation structure Related Articles | Metrics

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Research and Software Development of Influence of Diameter Chamfering on Vibration Characteristics of Underwater Propellers 2026, 46(4): 14-19.  Abstract ( )   Propeller diameter trimming method is an important way to solve the problem of ship-machine-propeller mismatch. After the diameter is trimmed, the vibration characteristics of the blade will change due to the change in the geometry of the blade. At the same time, because the working environment of the propeller is generally in the water, the fluid-structure coupling effect between the wake at the stern and the blade structure will also affect the blade structure. The vibration characteristics of the blade have a great influence, so it is necessary to carry out the research on the vibration characteristics of the propeller under the consideration of the fluid-structure interaction effect under the condition of the diameter chamfering. This paper sign and develops a solution platform through the QT interface design system. The platform connects ANSYS and ABAQUS finite element analysis software, achieve rapid solution and analysis of the problem, and the following conclusions are obtained. The diameter trimming method will cause the blade mode shape to change from torsional vibration to bending vibration; with the increase of the diameter trimming amount, the natural frequency of the blade increases; the growth rate of the natural frequency is related to the change of the mode shape. When the blade mode shape is obviously transformed, the growth rate of the blade frequency will increase significantly. Related Articles | Metrics

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Method for Extracting Operational Deflection Shapes of the Fluid-conveying Pipeline of High Noise Based on Mode Decomposition 2026, 46(4): 20-26.  Abstract ( )   In the operational state of fluid-conveying pipelines, increasingly severe fault issues make it particularly important to extract their vibration characteristics. However, factors such as noise can interfere with the accurate extraction of Operating Deflection Shapes (ODS) of the pipelines. This paper proposes a method for extracting operating deflection shapes that combines Wavelet Threshold Denoising (WTD) and Dynamic Bandwidth Variational Mode Decomposition (DB-VMD). The method first employs wavelet threshold denoising to preprocess the vibration response signals and then uses DB-VMD to decompose the preprocessed signals. This process obtains intrinsic mode function components with clear vibration characteristic information at different characteristic frequencies, enabling accurate identification and extraction of the pipeline's operating deflection shapes. The decomposition independence of this method is excellent and effectively reduces extraction errors caused by noise and other interferences. Finite element numerical and experimental validations demonstrate that this method can effectively filter out white noise and accurately extract the operating deflection shapes of pipelines, even in a high-noise environment. This study provides an effective method for the accurate extraction and analysis of operating deflection shapes of fluid-conveying pipelines in noisy environments within the industrial field. Related Articles | Metrics

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Analysis and optimization of time-delay effects on anti-resonance in aircraft landing gear shimmy systems 2026, 46(4): 33-40.  Abstract ( )   The time delay effect on semi-active control of aircraft landing gear shimmy system is considered, and the amplitude of shock strut torsional angle is reduced by using time delay feedback control. The vibrating differential equations of landing gear shimmy system are established by considering lateral displacement of the landing gear strut, the torsional angle of the shock strut and tyre deformation. The equations are dimensionless processed, and the analytical solution of the equation is obtained. For passive control system, the effect of equivalent tyre cornering stiffness coefficient on landing gear shimmy is studied. For time delay feedback control system, the Cluster Treatment of Characteristic Roots (CTCR) method is used to determine the stability of the system. The stability regions of the feedback gain coefficient and time delay are obtained. In order to suppress the anti-resonant point oscillation of amplitude frequency response curve of the strut torsional angle, optimization criteria are designed. The global search and genetic optimization algorithm are used to calculate. The error analysis is performed on the results obtained by global search and genetic optimization algorithm. The advantages and disadvantages of the two algorithms are elaborated. The significant effects of time-delay feedback control are verified by comparing the torsional angle amplitude of time delay feedback control system with the passive system in the frequency domain and time domain, respectively. Related Articles | Metrics

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Influence of External Cable Stiffness on the Coupled Vibration of Reinforced Continuous Box Girder Bridges 2026, 46(4): 48-54.  Abstract ( )   Related Articles | Metrics

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Design of Active Control Mechanism for High-Speed Train Gearboxes Under Internal and External Excitation and Dynamic Vibration Suppression 2026, 46(4): 55-61.  Abstract ( )   This study addresses the vibration issue of the gearbox in high-speed trains under both internal and external excitations by designing an active vibration control mechanism, which installs piezoelectric actuators arranged radially and axially at the bearing seat of the gearbox. A vibration active control model for the high-speed train gearbox is established, and fuzzy PID control along with traditional PID control strategies are applied to suppress the vibrations at the gear meshing frequency and its harmonics. The results indicate that, under the combined effects of internal excitation from the gear pair and external excitation from track irregularities, the gearbox vibration increases as the train speed rises. The vibration energy is primarily concentrated at the gear meshing fundamental frequency and its harmonics. Compared with PID control, fuzzy PID control shows better vibration reduction performance, especially at the gear meshing fundamental frequency. At a train speed of 250 km/h, the axial and vertical vibrations at the gear meshing fundamental frequency of 2,040 Hz are reduced by 7.69 dB and 6.60 dB, respectively, with vibration reduction rates of 8.8% and 7.3%. As the speed increases and the gear meshing frequency rises, the control effect gradually weakens, particularly at the second harmonic of the gear meshing frequency. Related Articles | Metrics

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Modeling and Optimization Methods for Sound Quality Based on Interpretable Machine Learning 2026, 46(4): 69-75.  Abstract ( )   With the increasingly stringent noise control standards for construction machinery, sound quality, as one of the key NVH indicators of competitive construction machinery products, has also garnered industry attention. This paper introduces interpretable machine learning into the sound quality prediction modeling process to enhance prediction accuracy and improve model transparency and interpretability. Focusing on the noise and sound quality issues of a certain type of road roller, we first acquire noise annoyance through noise signal collection and subjective evaluation, and then extract noise frequency domain features using the Grey Wolf Optimized Variational Mode Decomposition (GWO-VMD) technique. Subsequently, we utilize SHAP values to interpret the predictions of the CatBoost model, successfully identifying key frequencies that affect sound quality. Then, by combining Transfer Path Analysis (TPA) and sound quality contribution analysis, we determine that the key paths for improving the sound quality of the road roller are the fan noise and the Y-axis vibration of the engine mount. Finally, through structural improvements and acoustic packaging, the sound quality inside the road roller's cab has been significantly enhanced, with the annoyance evaluation value decreasing from 8.87 to 7.62, a reduction of 1.25, demonstrating the effectiveness of the optimization measures. Experimental results demonstrate the proposed method's superior predictive accuracy and enhanced model interpretability over conventional approaches, offering significant research and practical value for sound quality optimization in engineering applications. Related Articles | Metrics

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A Fast Calculation Method for Coupled Radiated Noise of Parallel Converging Gear Transmission and Structural System 2026, 46(4): 76-82.  Abstract ( )   A fast calculation method for radiation noise in a coupled gear structure system and transmission system is proposed to address the current issue of long calculation cycles for radiation noise. Taking the parallel flow gear system as the research object, the box is divided into three parts based on the structural characteristics of the system. The coupling relationship between the structural system and the transmission system is established through the connection between the gear-shaft-bearing-box. Taking into account internal excitations such as time-varying meshing stiffness, meshing impact, and transmission error, a coupling dynamic model of the parallel flow gear system is established based on the concentrated mass method to study the dynamic response of the coupling system. Based on the structural characteristics of the parallel flow confluence gear system, the T·Masuda noise prediction formula is modified, and the peak to peak vibration of the transmission system is changed to the peak to peak vibration of the structural system, resulting in a fast calculation method for radiated noise based on the dynamic response of the coupled system. Build a noise testing test bench for the combined flow gear system, and the error rates of the experimental results compared with the calculation results are less than 10%. Within a reasonable range, the accuracy of the rapid calculation method for radiated noise has been verified. Related Articles | Metrics

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An explainable annoyance degree model based on subjective evaluation experiments of sonic booms 2026, 46(4): 83-89.  Abstract ( )   Related Articles | Metrics

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Impact of Unbalanced Magnetic Pull on Compensator Vibration under Holographic Mode 2026, 46(4): 90-94.  Abstract ( )   Taking a 300 MVar synchronous condenser as the research object, this study proposes a holographic monitoring model for rotor vibration based on the modal superposition method. The model predicts internal vibration of the synchronous condenser based on bearing vibration, enabling holographic analysis of the shaft system vibration. On this basis, the influence of unbalanced magnetic pull on vibration is analyzed. The research findings reveal that the maximum vibration at the rotor's midspan can reach 19 times as vibration at the bearing under operating speed. The unbalanced magnetic pull calculated using the holographic model can be up to 14 times the result obtained from bearing vibration measurements, reaching 20% of the original unbalanced force. Under rated conditions, the operating speed of the synchronous condenser rotor exceeds the second critical speed, with a phase lag between the unbalanced force and vibration greater than 90 degree. This results in the unbalanced magnetic pull acting in the opposite direction to the initial unbalanced force. Considering this effect, the rotor vibration amplitude decreases by 15% under over-excitation conditions and by 6% under under-excitation conditions, the unbalanced magnetic pull in the second-order mode exerts a more significant influence on vibration. The influence of unbalanced magnetic pull on vibration cannot be neglected, as calculations based solely on bearing vibration measurements show significant deviations from actual conditions. Therefore, vibration analysis of synchronous condensers must consider the effects of unbalanced magnetic pull under holographic vibration modes. Related Articles | Metrics

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Study on the Effect of Process Parameters on the Acoustic Performance of Flexure Receiver under Installation Stress Condition 2026, 46(4): 95-99.  Abstract ( )   Aiming at the installation deviation of the flexible receiver in the installation process, we carry out the research on the influence of process parameters on its acoustic performance under the installation stress state. Combined with the experimental measurement results, a modified frequency domain finite element numerical analysis model is established to study the influence of flange curvature and flange offset on the acoustic performance and deformation of the JYXR DN200 flexible receiver in two typical deviation modes. Research findings indicate that under two typical deviation modes, the specified torque has no influence on the acoustic performance of flexible hoses. When the curved - offset distance exceeds 2.0 mm, it alters the vibration characteristics of the flexible hoses, leading to a decrease in their low frequency resonance frequency. Moreover, within the offset distance range of 0.5 - 4.0 mm, there is no impact on the acoustic performance of flexible hoses. Related Articles | Metrics

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Research on Fault Diagnosis Algorithm of Rolling Bearings Based on Multi-scale Adaptive Convolution Transformer 2026, 46(4): 100-106.  Abstract ( )   Rolling bearing fault diagnosis is crucial for the reliable operation of industrial equipment, and the diagnostic accuracy and robustness of traditional methods under complex working conditions still need to be improved. In order to more effectively explore the fault characteristics of rolling bearings and improve the accuracy of fault diagnosis, a multi-scale adaptive convolution Transformer rolling bearing fault diagnosis method is proposed. Firstly, a rolling bearing fault experimental platform was established, and acceleration sensors were used to collect the vibration signals from rolling bearings, which come from a variety of operating conditions in different states at the fan end of the motor; secondly, the collected one-dimensional vibration signals were processed by a multi-scale convolutional neural network.This network were used to deal with the time-domain features and frequency-domain features, and to deeply excavate the multi-dimensional features.A channel-attention mechanism was introduced to adaptively weight the feature channels to improve the fusion effect; finally, the local convolution module were applied to further deepen the features. The features are further deepened by the local convolution module, the global feature extraction module was used to capture the global features of the vibration signal.An adaptive blending module was utilized to realize the dynamic fusion of different features, which enhances the model's ability to identify weak fault features. On this basis, the effectiveness of the method is verified by different rolling bearing experimental data, and the experimental comparative analysis with MCNN, CNN-LSTM, Transformer, and AdaMCT is conducted.the results showed that the proposed method outperforms the existing methods in terms of fault recognition accuracy, which reaches 99.8%. The model also has high diagnostic accuracy under different noise levels, which further proves the superiority of the method and provides a new method for rolling bearing diagnosis in industry. Related Articles | Metrics

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Research on Variable Speed Bearing Fault Feature Extraction by Low Rank Sparse Optimised GoDec 2026, 46(4): 129-135.  Abstract ( )   Under the condition of variable rotational speed, the weak fault features of rolling bearings are easy to be flooded and affected by the strong noise, which leads to the difficulty of identifying the fault features. Based on this, a combination of Order Frequency Spectral Coherence (OFSC) domain and low-rank sparse optimisation Go-Decomposition (GoDec) is proposed as a fault feature extraction method. (Go-Decomposition, GoDec) for fault feature extraction. Firstly, the OFSC calculation of the fault signal is performed according to the cyclic smoothness property of the angular-time domain of the variable speed fault signal. Secondly, according to the sparsity and low-rank nature of the fault features and background noise in the order-frequency spectral correlation domain, the fault features in the order-frequency domain are extracted by introducing the kernel paradigm and L1 paradigm to optimise the GoDec method. Finally, in order to highlight the fault features, the sparse components are feature-enhanced using Enhanced Envelope Order Spectrum (EEOS). The performance of the proposed method is verified by variable speed simulation signals and experimental data, and quantitative analysis is carried out. The results show that the accuracy of fault feature recognition of the proposed method is better than that of single sparse constraint, original GoDec and order ratio analysis methods, which has obvious advantages. Related Articles | Metrics

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Periodic Vibration Analysis in Turbine Generator Unit Caused by Rub 2026, 46(4): 136-141.  Abstract ( )   To investigate the periodic synchronous vibration fluctuations in turbine generator unis, the thermal shock effect caused by rub between carbon brushes and slip ring was considered. A coupled dynamic equation of bending and thermal deformation was established in the rotating coordinate system. The mechanism of periodic vibration and its influencing factors were analyzed based on the eigenvalue properties of the coupled dynamic equation. The research indicates that under synchronous forward precession, the contact point be-tween the carbon brush and the shaft of the turbine generator is fixed. The heat generated by rub is transferred to the shaft, creating a temperature difference across the section, which excites the vibrational fluctuations. The damping force model is used to establish the rub force equation between the carbon brush and the slip ring. The vibration rotation direction obtained from this is the same as the rotation direction when the rotating speed is below the critical speed, and opposite to the rotation direction when the rotating speed is above the critical speed. This model can explain this type of rub induced vibration phenomenon quite well. When operating within the resonance region, increasing damping can effectively reduce vibration fluctuations. When operating outside the resonance zone, the effect of increasing damping is limited. It is necessary to strengthen the ventilation and cooling of the slip ring, appropriately reduce the contact pressure between the carbon and the slip ring, and reduce the friction coefficient between the carbon brush and the slip ring, as well as between the carbon brush holder. Related Articles | Metrics

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Gear Acoustic Emission Signal Denoising via EEMD-Improved Wavelet Thresholding 2026, 46(4): 142-148.  Abstract ( )   A denoising method combining Ensemble Empirical Modal Decomposition (EEMD) with an improved wavelet thresholding technique is proposed for acoustic emission signals from gear operation. Firstly, the traditional wavelet thresholding function is improved based on the characteristics of the Sigmoid function, which is smooth and easy to differentiate. Secondly, a simulated noisy signal is constructed and decomposed using EEMD to obtain a series of Intrinsic Mode Function (IMF) components. The correlation coefficients of each IMF component are calculated, and the signal is reconstructed accordingly. Finally, the Hippopotamus Optimization (HO) algorithm is employed to find the optimal adjustment parameter α in the improved wavelet thresholding function. The final denoised signal is obtained using the improved wavelet thresholding denoising method. The evaluation criteria used are Signal-to-Noise Ratio (SNR), Mean Squared Error (MSE), and Cosine Similarity (Cos). Simulation results demonstrate that the proposed method significantly improves the SNR compared to traditional denoising methods. Furthermore, the proposed method is validated using acoustic emission signals collected from gear tests. The experimental results indicate that the method exhibits better denoising performance and practical value compared to traditional denoising approaches. Related Articles | Metrics

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Fault diagnosis of rolling bearings based on HCNN-DSAD under variable speed conditions 2026, 46(4): 149-155.  Abstract ( )   To address the substantial differences in feature distribution under varying operating conditions and the limited domain adaptation capabilities in the fault diagnosis of rolling bearings, this paper proposes a fault diagnosis method that integrates a Hybrid Convolutional Neural Network (Hybrid Convolutional Neural Network, HCNN) with a Deep Subdomain Adaptation Network (Deep Subdomain Adaptation Network, DSAN) to effectively adapt to diverse operating conditions. Initially, vibration signals from bearings under different load conditions are collected and categorized into source and target domains. Subsequently, a hybrid convolutional neural network architecture, incorporating multi-scale convolution and attention mechanisms, is developed to extract fault characteristics. Feature distribution alignment between the source and target domains is achieved through a Gaussian Mixture Model (Gaussian Mixture Model, GMM) combined with a Local Maximum Mean Discrepancy (Local Maximum Mean Discrepancy, LMMD) loss function. Furthermore, an innovative weighting factor is introduced to enhance the convergence efficiency of the DSAN and optimize the diagnostic process. The proposed methodology is validated using the rolling bearing dataset from Huazhong University of Science and Technology. The experimental findings indicate that this methodology significantly improves the accuracy of fault diagnosis, demonstrating impressive performance. Related Articles | Metrics

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Impact of Wheel Tread Scratches on Rail Noise Radiation 2026, 46(4): 164-169.  Abstract ( )   To investigate the influence of wheel damage severity on the noise radiation characteristics of both wheels and rails, this study established a flexible wheel-rail coupled noise prediction model based on the finite element method and boundary element method. The accuracy of the model is verified through experiments, and the wheel-rail noise radiation characteristics were systematically analyzed under various conditions including different polygonal wear orders/depths and different stages/lengths of wheel flat scars. The results demonstrate that: For wheel polygonal wear above 12th order, when the wear depth is ≤0.02 mm, the sound pressure level difference between damaged and intact wheels remains within 5 dB. However, when the wear depth ≥0.04 mm, the difference in wheel noise radiation increases rapidly. The rail noise amplification shows a positive correlation with wear parameters-every 0.02 mm increase in wear depth elevates the sound pressure level by 2~5 dB. The increase in harmonic order raises the excitation frequency of the wheel-rail system, with every 2-order increase leading to a 3~10 dB enhancement in rail noise. New flat scars generate stronger impact noise due to their sharp edges, producing wheel and rail noise levels at least 5 dB higher than aged flat scars. As the flat scar length increases, the geometric impact effect diminishes, causing the noise radiation characteristics of new and aged flat scars with identical lengths to converge. These findings provide deeper insights into the generation mechanisms of wheel-rail noise and offer theoretical support for damage classification based on acoustic signature analysis. Related Articles | Metrics

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Shell-like Brick-mud Composite Structure Optimizes the Closing Sound Quality of an SUV 2026, 46(4): 188-193.  Abstract ( )   As an important part of the car, the quality of the door closing sound directly affects the user's driving experience. In this study, the door locks and pressure relief valves, which affect the sound quality of closing doors, are optimized for an SUV model using a shell-like brick-mud composite structure. The results show that: after optimization, the secondary locking sound of the door lock basically disappears, and the medium and high frequency rattling sound is significantly improved; after optimization, the loudness of the pressure relief valve decreases by 1.51 sone, and the blade slapping sound basically disappears; after optimization, the subjective score improves by 15.4% compared with that before optimization. The imitation shell-brick-mud composite structure has a significant effect on improving the closing sound quality of SUV models, which provides new ideas and methods for the acoustic design of automobiles. Related Articles | Metrics

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Analysis of the influence of the initial features of the wheel polygon on the wheel-rail interaction 2026, 46(4): 194-200.  Abstract ( )   In order to explore the influence of the initial characteristics of the wheel polygon on the dynamic characteristics of the wheel and the long-term wear evolution behavior, a long-term prediction model suitable for calculating the wear of the wheel polygon was established, which included a rigid-flexible coupling dynamic model considering the flexibility of the wheelset and a calculation model of the wear of the wheel polygon, numerically simulated the wheel-rail dynamic response caused by different initial orders and amplitudes, analyzed the influence of the combined order/amplitude-velocity interaction on the wheel-rail interaction, and further reproduced the evolution behavior of the wheel polygon under different initial characteristics. The results show that the initial order and amplitude of the wheel polygon affect the vibration amplitude and vibration period of the wheel-rail dynamic characteristics. It will also make the wheel wear work derive higher-order harmonics and promote the formation of higher-order polygons. It will also aggravate the wear evolution rate of the wheel polygon. In addition, the initial amplitude of the wheel polygon will affect the long-term evolution trend and wear position of the wheel polygon, and the initial characteristics of the wheel polygon have a certain influence on the dominant order and amplitude of the higher-order polygon. Related Articles | Metrics

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Influence of Sunshade on Vehicle Sound Insulation 2026, 46(4): 201-207.  Abstract ( )   Addressing prevalent market complaints regarding noise in the passenger vehicle market and incorporating human auditory sensitivity across frequency bands, this study consolidates the industry-standard metrics—Acoustic Transfer Function (ATF) and Noise Reduction (NR)—into a unified weighted indicator: Weighted Compound Noise Reduction (WCNR). This single-value metric quantifies the overall acoustic insulation performance of vehicles. Through structural analysis of sunshades, the specific flow resistance is identified as the key acoustic performance indicator. Combined with the layout environment of a sunshade, the sound insulation and sound absorption properties are investigated. While sound insulation increases monotonically with rising flow resistivity, the absorption coefficient initially rises and then declines. A Statistical Energy Analysis (SEA) model was established for a sedan featuring a roof glass panel, enabling vehicle sound insulation simulation and experimental validation. Results indicate that maximum WCNR is achieved at a flow resistivity of approximately 103 Pa·s/m. Compared to configurations without sunshades, this optimization yields an improvement of approximately 1.1 dB. Related Articles | Metrics

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Outdoor Noise Control for Rural Residences along National Highways—Taking the G320 Xishan Town Section as an Example 2026, 46(4): 221-226.  Abstract ( )   Given the lack of research on traffic noise control in rural residential areas along national highways, this paper takes a typical courtyard-style residence in the Xishan Town section of G320 as an example, combines on-site monitoring and Cadna/A three-dimensional simulation, and quantitatively evaluates the noise reduction effects of measures such as road setback, traffic control, sound barriers, and courtyard walls. The results show that increasing the road setback can significantly attenuate noise, and when the distance increases from 25 m to 425 m, the noise reduction can exceed 20 dB(A); in traffic control, road speed limit is better than simply reducing traffic volume or heavy vehicle ratio; increasing the height and length of the sound barrier can attenuate noise, and the effect is particularly significant when the height reaches 4.5 m; the courtyard wall can effectively reduce courtyard noise, and the facade noise attenuation is restricted by factors such as building height and road width. The three proposed coordinated solutions of "setback-speed limit-sound barrier-courtyard wall" can all control the nighttime noise in the front yard to below 55 dB(A) and the noise in the backyard and atrium to below 50 dB(A), fully meeting the noise limit requirements of GB 3096-2008 and significantly improving the acoustic environment of the facades facing the road. The research results provide a scientific basis and technical guidance for the acoustic environment management of residential buildings along the national highway. Related Articles | Metrics

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Prediction and Control of Noise Characteristics of Platform and Waiting Area during Rapid Passing of High-speed Trains through Stations 2026, 46(4): 227-233.  Abstract ( )   This study establishes a structure-acoustic cavity coupling model using statistical energy analysis to predict the acoustic characteristics of a 13-platform railway hub. Numerical simulations investigate noise distribution patterns under three operational conditions: single-train passing, mid-platform train crossing, and 70% track occupancy parking at 200km/h. The results demonstrate that platforms 5 and 6 exhibit the highest noise exposure levels, reaching 90.51dB(A) and 91.98dB(A) respectively at 630Hz during single-train operations. Train crossing scenarios increase noise levels to 93.67dB(A) and 93.61dB(A) for platforms 5 and 6, exceeding current noise control standards. Acoustic treatment simulations reveal that applying broadband absorptive materials (α=0.8) to ceiling and floor surfaces achieves 6.2-8.5dB(A) noise reduction in critical areas. This modeling approach provides theoretical guidance for acoustic design optimization in high-speed railway hub platforms. Related Articles | Metrics

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Spatiotemporal Characteristics Analysis and Management Strategies of Shanghai Residential Renovation Noise Complaints 2026, 46(4): 234-237.  Abstract ( )   This study focuses on residential renovation noise complaint data obtained from Shanghai's public complaint and petition hotline. By systematically examining the temporal and spatial patterns of these complaints, it aims to identify the public’s genuine concerns and demands regarding renovation noise. The results indicate that, in terms of spatial distribution, residential renovation noise complaints in Shanghai are mainly concentrated in the central urban area, exhibiting a significant feature of regional agglomeration. In terms of temporal distribution, complaints received on weekends accounted for 45.3% of the total, and those lodged during 7:00–8:00 on workdays were 6.3 times the average of other time periods. These conclusions can provide data support for accurately identifying the key areas and time windows for decoration noise control in Shanghai. They also serve as a reference for improving renovation time regulations, optimizing regionally differentiated management policies, and enhancing the refined management level of the city’s acoustic environment. Related Articles | Metrics

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Analysis of Vibration and Noise in Buildings Adjacent to Multi-Level Transportation 2026, 46(4): 238-244.  Abstract ( )   This study focuses on a street-front building in Wuhan, investigating the indoor vibration and noise characteristics of buildings subjected to multi-level transportation through field measurements. The indoor vibration and noise levels were evaluated in accordance with the standard JGJ/T 170-2009.The results indicate that among various single vibration sources, the excitation from an arriving subway has the most significant impact on indoor vibration. Under multi-source conditions, as the number of vibration sources increases, the peak acceleration of indoor vibration increases, the frequency distribution broadens, and the vibration response across all frequency bands is amplified. Both the peak vibration acceleration and the maximum sound pressure level at the center of the indoor floor slab exhibit a trend of initially decreasing and then increasing with the rise of the building floor. Indoor vibration levels are higher during off-peak periods and at night, but lower during morning and evening peak hours. Conversely, indoor noise levels are higher during morning and evening peak hours and lower during off-peak periods and at night. The vibration of the floor slabs in rooms on all floors meets the standard limit requirements; however, the indoor noise level on the fifth floor exceeds the specified limit.This research provides valuable guidance for reducing interference caused by traffic vibration and traffic noise to residents along urban multi-level transportation routes. Related Articles | Metrics

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Applicability of Subjective Evaluation Methods for Speech Intelligibility in Lecture Rooms and Auditoria 2026, 46(4): 245-252.  Abstract ( )   Speech intelligibility is an important indicator for evaluating the acoustic quality of lecture rooms and auditoria. There are various subjective evaluation methods for speech intelligibility, but their evaluation results for lecture rooms and auditoria vary significantly, with unclear applicability. The relationship curves between speech intelligibility scores and the speech transmission index(STI) were established under 24 architectural acoustic conditions. Then, through sensitivity analysis, correlation analysis, and relational analysis, the applicability of 8 subjective evaluation methods of speech intelligibility belonging to 3 categories was studied. The results show that:(1)Monosyllable word curves exhibit moderate sensitivity(slope:11.7~14.8% per 0.1 STI unit in the 20–80% linear range). Disyllable word and sentence curves show higher initial sensitivity under poor listening conditions but rapid decline in sensitivity with ceiling effects. (2)Open-set phoneme-balanced mono-and disyllable word and daily sentence strongly correlate with subjective perception (r=-0.78 to -0.88), outperforming closed-set rhyme monosyllable and sentence(r=-0.50 to -0.69). The correlation of open-set monosyllable word decreases relatively slowly with the improvement of listening conditions. (3) Monosyllable word rank highest in comprehensive relational degree with subjective-objective parameters, while disyllable word and sentences rank lower. The 75 phoneme-balanced monosyllable word demonstrate optimal applicability due to its wide moderate-sensitivity range, strong perceptual correlation, and top-ranked comprehensive performance. The results can provide a reference for the selection of subjective evaluation methods for speech intelligibility in lecture rooms and auditoria. Related Articles | Metrics

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Vibration Prediction Methodology of Metro Depot Over-Track Building based on Transfer Function 2026, 46(4): 253-259.  Abstract ( )   With the rapid development of urban rail transit systems, vibration issues associated with rail transportation have become increasingly prominent. To develop scientifically sound and effective vibration and noise mitigation measures, establishing accurate and efficient vibration prediction methods serves as a crucial prerequisite. Addressing the current challenge of balancing accuracy and computational efficiency in rail transit vibration prediction, this study proposes a hybrid analytical transfer function and on-site measurement rapid prediction methodology. The proposed approach involves calculating vibration transmission characteristics from excitation sources to receiving structures through theoretical modeling, while incorporating measured ground vibration for calibration, thereby achieving accurate prediction of building structural vibrations under actual track irregularity conditions. The methodology's core idea lies in partitioning the vibration transmission system into four subsystems, each modeled using distinct theoretical methods: multibody dynamics for train subsystem modeling, wave propagation theory and stiffness matrix methods for soil dynamic response, substructure methodology for soil-structure interaction analysis, and impedance theory for building structural response prediction. Experimental validation confirms that the predicted building vibration responses demonstrate excellent agreement with field measurements in the frequency domain. This research contributes a novel technical solution for environmental vibration assessment in rail transit applications. Related Articles | Metrics

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Experimental Study on the Influence of Constrained Damping Layer on Radiated Noise from Floor Structures 2026, 46(4): 260-265.  Abstract ( )   Three full-scale floor specimens with different paving structures were designed and fabricated. Impact hammer tests applied single-point excitation to beams beneath slabs with varying surface treatments, while dynamic properties and room sound pressure levels were measured to assess constrained layer damping (CLD) effects on vibration and indoor noise. An acoustic-structural coupled finite element model was developed in COMSOL Multiphysics and validated experimentally. Parametric studies on floor thickness, damping layer parameters, and surface materials revealed their combined effects on vibration and noise suppression. Related Articles | Metrics

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Structural Design and Vibration Damping Characteristics of CFRP Plates with Embedded Acoustic Black Holes 2026, 46(4): 273-279.  Abstract ( )   The structural design and vibration damping characteristics of the CFRP plate structure embedded with acoustic black holes were studied. Firstly, the influence of several common carbon fiber layup angles on the vibration damping characteristics of CFRP plate structure was explored, and then the energy focusing effect of ABH was verified by finite element software, and the influence of different shapes of ABH on the vibration damping characteristics of CFRP plate was explored through harmonic response analysis. The results show that ABH can effectively reduce the vibration of CFRP board and improve the vibration damping performance of CFRP board. Related Articles | Metrics

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Active Vibration Isolation Foundation for Marine Diesel Engines with Damping Quality 2026, 46(4): 280-286.  Abstract ( )   The vibration generated by the power equipment is mainly transmitted to the hull through the base, and the vibration isolation performance of the vibration isolation performance of the diesel engine active vibration isolation system is studied to reduce the vibration transmission of the power equipment. Based on the vibration damping quality, the structural performance of the active vibration isolation system of diesel engine was studied, and the influence of the excitation factors of the active vibration isolation system on the vibration isolation performance analysis of the base was considered. The influence of parameters such as quantity, type, arrangement and size of vibration resistance on the vibration isolation performance of the base was studied, and a test bench for the vibration isolation performance of the vibration resistance quality base was built, and related experimental studies were carried out. The results show that in the frequency band of 0~500Hz, the test results of the vibration level drop of the base are in good agreement with the trend of the simulation results, and the vibration level drop error is 0.2dB, and the vibration level drop of the vibration quality base can be increased by 2.8dB. The research results can provide a reference for the design of vibration isolation performance of marine diesel engine base structure. Related Articles | Metrics

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Optimization Design and Analysis of Low-Frequency Vibration Isolation for Four-Component Periodic Pile Barrier 2026, 46(4): 300-307.  Abstract ( )   The environmental vibration and noise caused by the operation of urban rail traffic have become increasingly prominent, making the issue of vibration and noise reduction a key research focus in recent years. Periodic pile barriers serve as a mitigation measure by blocking vibration waves along the propagation path. However, in practical engineering applications, the conventional periodic piles exhibit poor vibration isolation performance in the low-frequency range. To address this issue, an eco-friendly four-component periodic pile barrier has been proposed, which is capable of effective vibration isolation below 20 Hz, and its low-frequency performance was optimized by using an adaptive genetic algorithm. Firstly, based on the complex dispersion curves, the optimal material composition for each component of the four-element periodic pile barrier was determined, ensuring the use of environmentally friendly materials. Then, the adaptive genetic algorithm was employed to optimize the dimensional parameters of each component, enabling the generation of wide bandgaps in the low-frequency range. The optimized design parameters achieved vibration isolation bands in the ranges of 9.5 Hz-15.5 Hz, 11.9 Hz-20 Hz, 14.3 Hz-24.2 Hz, and 16.3 Hz-27.5 Hz. Finally, taking the 9.5-15.5 Hz low-frequency isolation band as an example, the vibration isolation performance of the periodic pile barrier was thoroughly analyzed in both the time and frequency domains. The results demonstrate that the proposed four-component periodic pile barrier exhibits excellent low-frequency vibration isolation performance, indicating significant potential for engineering applications. Related Articles | Metrics

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Design and Optimization Study of Corrugated Composite Silencers for Transformer Noise Reduction 2026, 46(4): 308-315.  Abstract ( )   Aiming to address the limitations of traditional mufflers in controlling mid-low frequency transformer noise, this study proposes a composite silencer structure combining corrugated walls with a backflow cavity. By replacing flat walls with corrugated configurations and optimizing acoustic performance through backflow cavity integration, an enhanced corrugated composite muffler was developed. Parametric analysis was performed to investigate structural parameter effects on sound absorption, followed by noise spectrum-based optimization for 220kV transformers, resulting in a cascaded corrugated composite silencer. Research reveals that the synergy between corrugated walls and backflow cavity efficiently dissipates mid-low frequency noise through optimized acoustic impedance matching. The improved silencer achieves an average sound insulation of 58.81 dB across 20-1000 Hz, offering a new solution for power equipment noise control. Related Articles | Metrics

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Acoustic Superstructure Design and Application of Railway Sound Barrier 2026, 46(4): 316-322.  Abstract ( )   In order to effectively solve the pain points such as material escape, aging, collapse, hardening and performance degradation of porous sound absorbing materials of existing railway sound barriers, the most cutting-edge and popular noise reduction technology, acoustic superstructure technology, is introduced. Specifically, the mechanism of "non-local coupling of weak sound absorbing units" is adopted, and a multi-cavity parallel internal catheter-type Helmholtz resonance structure is designed. The measured results show that the noise reduction coefficient of the sound barrier with the new structure is 0.83, and the weight insulation is 38.3 dB, which exceeds the technical requirements of TB/T 3122-2019. Further simulation tests are carried out, and the results show that sound reduction index of the sound barrier with the new structure is 4.5 dB higher than that with the existing cotton structure. The sound barrier of the new structure has significant technical advantages in the design of low frequency noise reduction and has important application value. Related Articles | Metrics