Chiao-Yang Kuan, Yung-Wei Chen^*, Jian-Hung Shen, Yen-Shen Chang

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079597 - 27 April 2026

Abstract This paper investigates the vibro-acoustic coupling behavior of high-speed ball bearings and the mechanisms driving vibration and radiated noise. Ball bearings consist of an inner ring, outer ring, cage, and rolling elements, whose complex interactions—impact, friction, and geometric non-uniformities—are difficult to capture experimentally. To address this challenge, a coupled numerical approach is developed by integrating the explicit nonlinear solver LS-DYNA with the acoustic module in LMS Virtual.Lab. Simultaneously, fixed boundary constraints and no-slip contact conditions are applied in the modal analysis to identify excitation sources of structural vibrations. First, a three-sphere collision simulation is employed More >

Siqiang Zheng^1,#, Yu Lu^2,#, Xuetong Xu¹, Kai Sun¹, Lanzhu Zhang^1,*, Zhiqin Qian^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076059 - 09 April 2026

Abstract Pipelines play a crucial role in chemical industrial production. However, due to long operating cycles, seal failures, and internal corrosion, hazardous chemical media are prone to leak, potentially leading to serious accidents such as explosions. To address the limitations of existing pipeline leak detection methods—specifically their insufficient recognition accuracy and poor robustness in noisy environments—this paper proposes an Acoustic Emission (AE)-driven leakage state recognition method based on wavelet time-frequency maps and the Inception-V3 deep network. First, a pipeline leak experimental platform was constructed, and AE signals were collected. The signals were denoised through wavelet decomposition More >

Rong Guo^1,2,3,*, Jie Xiao^1,2, Xuehan Wang⁴, Qi Jiang^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.077602 - 31 March 2026

Abstract To simultaneously reduce flow-induced noise and enhance hydraulic performance in centrifugal pumps, this study proposes a bionic volute tongue inspired by the serrated trailing-edge morphology of the long-eared owl wing. Hydraulic performance and volute-induced noise are integrated into a unified evaluation framework, enabling multi-objective optimization of the tongue geometry. An orthogonal experimental design coupled with Computational Fluid Dynamics (CFD) and Computational Fluid Acoustics (CFA) is employed to systematically assess the influence of serration parameters. A matrix-based decision method is then used to identify the optimal configuration balancing efficiency, head, and acoustic performance. The optimized design… More > Graphic Abstract

Jun Li¹, Chunyan Liang^1,*, Zhiguo Liu¹, Fengpei Ge²

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071011 - 12 January 2026

Abstract To enhance speech emotion recognition capability, this study constructs a speech emotion recognition model integrating the adaptive acoustic mixup (AAM) and improved coordinate and shuffle attention (ICASA) methods. The AAM method optimizes data augmentation by combining a sample selection strategy and dynamic interpolation coefficients, thus enabling information fusion of speech data with different emotions at the acoustic level. The ICASA method enhances feature extraction capability through dynamic fusion of the improved coordinate attention (ICA) and shuffle attention (SA) techniques. The ICA technique reduces computational overhead by employing depth-separable convolution and an h-swish activation function and More >

Mudasir Ali¹, Muhammad Faheem Mushtaq², Urooj Akram², Nagwan Abdel Samee^3,*, Mona M. Jamjoom⁴, Imran Ashraf^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1863-1901, 2025, DOI:10.32604/cmes.2025.070389 - 26 November 2025

Abstract Differentiating between regular and abnormal noises in machine-generated sounds is a crucial but difficult problem. For accurate audio signal classification, suitable and efficient techniques are needed, particularly machine learning approaches for automated classification. Due to the dynamic and diverse representative characteristics of audio data, the probability of achieving high classification accuracy is relatively low and requires further research efforts. This study proposes an ensemble model based on the LeNet and hierarchical attention mechanism (HAM) models with MFCC features to enhance the models’ capacity to handle bias. Additionally, CNNs, bidirectional LSTM (BiLSTM), CRNN, LSTM, capsule network More >

Tao Liu¹, Yang Liu², Jianbin Du^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.011595

Abstract Currently, the application of the Boundary Penalty (BP) method in acoustic-structural coupled multiphysics optimization problems remains unexplored. Within the theoretical framework of BP developed previously, we address acoustic-structural coupled topology optimization problems by proposing a BP-based acoustic-structural coupled topology optimization model. A systematic solution strategy is developed to tackle the challenges encountered during model solving.
The proposed model employs a mixed u/p formulation for finite element analysis and the adjoint method for sensitivity analysis to minimize the acoustic pressure within a specified region (Fig.1 A). During optimization iterations, issues such as topological discretization and iteration oscillations… More >

Xinwei Li^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.010448

Abstract Advances in 3D printing have unlocked new opportunities for developing lattice structures tailored for enhanced sound absorption. This work explores methods to maximize sound absorption in microlattice designs by introducing heterogeneity, leveraging dual dissipation mechanisms, and reshaping cavity wall geometries. We present a multilayered Helmholtz resonance (MLHR) analytical model to predict and guide the design of broadband sound-absorbing lattices [1]. Through structural optimization, we demonstrate that heterogeneous microlattices with varying pore and cavity morphologies achieve broadband absorption [2–4], with experimentally validated absorption coefficients exceeding 0.75 across a wide frequency range from 1000 to 6300 Hz.
Beyond… More >

Junyi Xiang^1,2,3, Yijun Chai^1,2,3,*, Xiongwei Yang^1,2,3, Yueming Li^1,2,3

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011738

Abstract Acoustic metamaterials have garnered significant attention in recent years due to their potential to manipulate sound waves and the ability to dynamically adjust the bandgap of such materials is particularly crucial.
This work investigates the influence mechanisms of solid-liquid phase change processes on the performance of metamaterials, which is a significant research focus in the field of acoustic metamaterials. The primary objective is to explore the mechanisms governing the controllable shifting of bandgaps through phase change processes. By utilizing solid-liquid phase change materials as scattering bodies, numerical methods were employed to calculate the band structure and… More >

Zhenyu Li¹, Hongze Li², Jinshui Yang², Hong Hu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010548

Abstract The urgent need to achieve "carbon neutrality" drives the development of innovative porous structures that integrate both acoustic and mechanical properties, aimed at reducing energy consumption. However, enhancing these functionalities often results in increased structural weight, which can restrict their application in scenarios where weight is a critical factor. In response to this challenge, we present a groundbreaking structural design that combines carbon fiber reinforced polymer (CFRP) composites with mechanical and acoustic metamaterials for the first time. This novel construction is characterized by its lightweight nature while delivering exceptional mechanical strength and acoustic performance.
The experimental… More >

Yingying Guo¹, Ziyu Cui², Jibing Shen¹, Pei Li^3,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4519-4550, 2025, DOI:10.32604/cmc.2025.071504 - 23 October 2025

Abstract Accurate simulation of acoustic wave propagation in complex structures is of great importance in engineering design, noise control, and related research areas. Although traditional numerical simulation methods can provide precise results, they often face high computational costs when applied to complex models or problems involving parameter uncertainties, particularly in the presence of multiple coupled parameters or intricate geometries. To address these challenges, this study proposes an efficient algorithm for simulating the acoustic field of structures with adhered sound-absorbing materials while accounting for ground reflection effects. The proposed method integrates Catmull-Clark subdivision surfaces with the boundary… More >