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Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics, 2nd Edition

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A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: 20 November 2026 | Viewed by 2145

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Editors

Dr. Kai Yang

E-Mail Website
Guest Editor

School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: vibro-acoustics energy harvesting and control; nonlinear dynamics; machine learning in control
Special Issues, Collections and Topics in MDPI journals

Dr. Junlei Wang

E-Mail Website
Guest Editor

School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: piezoelectric energy harvesting; flow-induced vibrations; energy harvesting from flow phenomena
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vibration and acoustics are everywhere in the environment, e.g., ocean waves, flutter, pipeline vibration, wind-induced vibration, jet noise, and underwater noise. Vibro-acoustics control and utilization are promising in modern industry, as they can support self-powered sensors in the Environment Internet of Things (EIOT), along with the abatement of unnecessary vibration and noise and acoustic target tracking. New advanced technologies, including intelligent algorithms, smart materials, and advanced analysis methods, can produce revolutionary progress in vibro-acoustics control and utilization. Thus, this Special Issue aims to collect the latest research advances in vibro-acoustics control and utilization using intelligent algorithms, smart materials, and advanced analysis methods. This Special Issue is focused on, but not limited to, the following themes:

Innovative intelligent algorithms for vibration/acoustics-based energy harvesting, control, target tracking, and diagnosis;
Analyses of vibration/acoustics energy harvesting and control using functional and smart materials;
Fluid–solid interaction, flow-induced noise in energy harvesting or control using intelligent algorithms, new smart materials, and dynamic mechanisms;
Innovative vibration/acoustics control algorithms such as machine-learning-based methods;
Experimental investigation of vibro-acoustics energy harvesting, control, target tracking, and diagnosis;
Advanced vibration/acoustics energy harvesting or control in aerospace, marine, civil engineering, etc.

Dr. Kai Yang
Prof. Dr. Junlei Wang
Guest Editors

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Keywords

vibro-acoustics control
intelligent algorithms
vibration/acoustics energy harvesting
functional and smart materials

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Related Special Issue

Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics in Applied Sciences (17 articles)

Published Papers (4 papers)

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Research

23 pages, 11731 KB

Open AccessArticle

A Physics-Guided Raw-Dominant Gated Fusion Method for Fine-Grained Bearing Fault Diagnosis

by Chuanbo Wu, Guoao Jiao, Yongdi Zhang, Kangning Jin, Zihang Zhang and Zeming Li

Appl. Sci. 2026, 16(16), 8337; https://doi.org/10.3390/app16168337 - 21 Aug 2026

Viewed by 262

Abstract

Fine-grained bearing condition diagnosis is challenging because different bearing states within the same fault location often exhibit similar fault-characteristic-frequency responses, making them difficult to distinguish using envelope-spectrum information alone. To address this problem, a physics-guided raw-dominant gated fusion network (PG-RDGFN) is proposed for fine-grained bearing fault diagnosis. In the proposed framework, the raw vibration signal is retained as the dominant information source, while the envelope spectrum provides complementary fault-modulation evidence. A physics-aware descriptor derived from bearing characteristic-frequency responses is incorporated into a sample-wise gating mechanism to adaptively regulate the contribution of the envelope-spectrum features. Distinct from conventional direct multi-branch fusion or physics-informed schemes that mainly use physical knowledge as an auxiliary input or regularization constraint, PG-RDGFN uses mechanism-derived physical confidence to regulate how much auxiliary envelope-spectrum evidence participates in the fusion, rather than directly using the physical prior as a fine-grained classification cue. Meanwhile, a physical-consistency loss constrains the learned gate using a scalar physical-confidence target, and a raw-branch auxiliary loss preserves the discriminative capability of the dominant raw representation. Experiments are conducted on an eight-class diagnosis task constructed from the Paderborn University bearing dataset. Compared with SVM, MLP, 1D-CNN, CNN-LSTM, and TCN, the PG-RDGFN achieves the highest accuracy of 98.87%. Ablation and gate-consistency analyses further verify the effectiveness of the envelope branch, gated fusion, physics guidance, and auxiliary supervision. These results demonstrate that PG-RDGFN provides an accurate and physically interpretable solution for fine-grained bearing condition diagnosis. Full article

(This article belongs to the Special Issue Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics, 2nd Edition)

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24 pages, 1766 KB

Open AccessArticle

An Analytical Model for Low-Frequency Vibration Energy Harvesting in a Cantilever Beam with a Piezoelectric Patch: Development and Qualification Using Experimental Data

by Jorge Enrique Herrera Arroyave, Diego Fernando Arias Mateus, Milton Humberto Medina Barreto, Jorge Alfredo Ferrer Pérez and Christian Vanhille

Appl. Sci. 2026, 16(16), 8267; https://doi.org/10.3390/app16168267 - 19 Aug 2026

Viewed by 352

Abstract

Vibration-based piezoelectric energy harvesting provides a potential power source for low-consumption devices; however, its prediction requires a consistent representation of localized structural properties and experimentally identified modal behavior. This study presents the structural and modal qualification of an analytical electromechanical model for a 6061-T6 aluminum cantilever beam carrying a finite one-sided PZT-5J piezoelectric patch, with unequal beam and patch widths, under base excitation. The specific contribution is the traceable integration of local neutral-axis relocation, spatially varying mass and flexural rigidity, a finite-patch indicator function,

d_{31}

electromechanical coupling, multimodal projection, and mode-specific reduced-order equations. Two beam lengths,

275

and

250 m m

, were investigated using broadband shaker excitation, accelerometry, and scanning laser vibrometry. The measured first and second bending frequencies were

16.56

and

110.31 H z

for the

275 m m

beam and

19.14

and

125.00 H z

for the

250 m m

beam. Experimental damping ratios obtained from the frequency-response functions ranged from

6.54 \times 10^{- 3}

1.55 \times 10^{- 2}

. The analytical formulation reproduced the increase in modal frequencies produced by reducing the beam length and captured the measured transverse mode-shape trends. Experimentally identified frequencies, base accelerations, and damping ratios were subsequently introduced into the reduced model to obtain experimentally parameterized model outputs. The largest calculated peak voltage and estimated average electrical power were

155.99 m V

and

1.22 μ W

, respectively, for the first mode of the

275 m m

beam across a reference

10 k Ω

resistive load. The reported qualification is restricted to the structural and modal response of the two tested configurations; the electrical quantities are calculated outputs rather than independent electrical measurements. Full article

(This article belongs to the Special Issue Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics, 2nd Edition)

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Figure 1

26 pages, 3171 KB

Open AccessArticle

Research on the Longitudinal Vibration of Elevators Under External Excitations

by Zhongxu Tian, Pengtao Lu, Muyao Chen and Jiayi Xie

Appl. Sci. 2026, 16(10), 4957; https://doi.org/10.3390/app16104957 - 15 May 2026

Viewed by 451

Abstract

To address the longitudinal vibration issues in high-speed elevators induced by external excitations, this study constructs a high-precision multi-degree-of-freedom (MDOF) dynamic model to systematically analyze vertical dynamic response characteristics. Utilizing the substructure method, the complex traction system is decomposed into several subsystems, including the traction device, tensioning device, car and car frame, counterweight system, and segmented wire ropes. By integrating Lagrange’s equations with Newton’s second law, the governing differential equations of motion for each component are derived, establishing an adaptable global dynamic model. The forced vibration analysis focuses on the impacts of periodic excitation from traction sheave eccentricity, piecewise reverse braking torque, and vertical impacts from guide rail joints on car vibration response and wire rope dynamic stress. The results indicate that: traction sheave eccentricity leads to periodic fluctuations in car acceleration, with vibration peaks decreasing as the payload increases; reverse braking torque triggers impulsive acceleration overshoots, where the peak value under full-load conditions increases by approximately 15% compared to the no-load condition, accompanied by a longer duration of low-frequency vibrations; guide rail joint impacts produce instantaneous acceleration spikes, which increase by about 18% under high-speed operating conditions; and the wire rope stress exhibits significantly higher sensitivity to load variations within the low-load range of 0–0.2. Full article

(This article belongs to the Special Issue Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics, 2nd Edition)

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Figure 1

15 pages, 2341 KB

Open AccessArticle

A Current-Frequency Dependent Hysteresis Model for an Entangled Metallic Wire Mesh–Magnetorheological (EMWM-MR) Composite Damper: Characterization and Inertial Flow Dominated Dissipation Mechanism

by Rong Liu, Zhilin Rao and Yiwan Wu

Appl. Sci. 2026, 16(7), 3367; https://doi.org/10.3390/app16073367 - 31 Mar 2026

Viewed by 472

Abstract

Accurate modeling of smart composite dampers is crucial for simulation and model-based control. This study focuses on the constitutive modeling of a novel damper that synergistically combines an Entangled Metallic Wire Mesh (EMWM) with a magnetorheological (MR) fluid. Unlike traditional MR dampers, the interaction between the field-responsive MR fluid and the rate-sensitive, deformable EMWM matrix introduces strong coupled current–frequency dependence. To capture this essential characteristic, a control-oriented, bivariate (current–frequency) hysteresis model is formulated, wherein all parameters are explicit, continuous functions of both the control current (I) and excitation frequency (f). A systematic two-step identification method is employed to derive these functions from dynamic tests. A key finding is that the identified damping exponent (α) consistently exceeds unity across the tested operational range. This quantitatively indicates a transition from viscous-dominated to inertial-flow-dominated dissipation within the EMWM matrix, a distinctive mechanism attributed to non-Darcian flow in its porous structure. The fully parameterized model demonstrates high fidelity (R² > 0.99) within the characterized low-frequency, small-amplitude regime and shows reliable predictive capability for interpolated conditions. The presented model serves as a ready-to-use constitutive tool for the simulation and design of low-frequency vibration isolation systems utilizing EMWM-MR composites, and the revealed inertial flow mechanism provides fundamental insight for the development of next-generation adaptive dampers. Full article

(This article belongs to the Special Issue Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics, 2nd Edition)

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