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

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 6977

Special Issue Editors

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 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), abatement of the unnecessary vibration and noise and acoustic target tracking. New advanced technology, including intelligent algorithms, smart materials and advanced analysis method, can produce many revolutionary progresses 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 method. 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 the 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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

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

Published Papers (6 papers)

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Research

14 pages, 6596 KiB  
Article
Vibration Isolation and Launch Performance Enhancement of the Spacecraft In-Orbit Launch Design Using the Nonlinear Dynamic Feature
by Xu Zhou, Weihao Tong, Lu Dai and Boyuan Wei
Appl. Sci. 2024, 14(10), 4250; https://doi.org/10.3390/app14104250 - 17 May 2024
Viewed by 263
Abstract
This paper proposes a new spacecraft in-orbit launch design using a nonlinear configuration to utilize nonlinear dynamics for the enhancement of vibration isolation and launch performance. The in-orbit launch device has four springs, where the stroke directions of two springs are perpendicular to [...] Read more.
This paper proposes a new spacecraft in-orbit launch design using a nonlinear configuration to utilize nonlinear dynamics for the enhancement of vibration isolation and launch performance. The in-orbit launch device has four springs, where the stroke directions of two springs are perpendicular to the launch direction so as to produce nonlinearity with negative stiffness for enhancing the launch velocity. The other two springs are designed to counterbalance the above negative stiffness when the launch outlet is shut down, leading to quasi-zero dynamic stiffness for vibration isolation enhancement. The dynamic equations of the in-orbit launch device for both the on- and off-launch are presented. Then the performance enhancement of both the vibration isolation and launch performance is thoroughly investigated via comparative study and parametric study. The resonance peak is reduced by 4.16 dB, the effective vibration isolation bandwidth is increased by 57%, and the launch speed is increased 1.64 times. This validates the performance improvement of the new launch device design and presents a useful guideline for application. Full article
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27 pages, 7490 KiB  
Article
Vibration Control with Reinforcement Learning Based on Multi-Reward Lightweight Networks
by Yucheng Shu, Chaogang He, Lihong Qiao, Bin Xiao and Weisheng Li
Appl. Sci. 2024, 14(9), 3853; https://doi.org/10.3390/app14093853 - 30 Apr 2024
Viewed by 336
Abstract
This paper proposes a reinforcement learning method using a deep residual shrinkage network based on multi-reward priority experience playback for high-frequency and high-dimensional continuous vibration control. Firstly, we keep the underlying equipment unchanged and construct a vibration system simulator using FIR filters to [...] Read more.
This paper proposes a reinforcement learning method using a deep residual shrinkage network based on multi-reward priority experience playback for high-frequency and high-dimensional continuous vibration control. Firstly, we keep the underlying equipment unchanged and construct a vibration system simulator using FIR filters to ensure the complete fidelity of the physical model. Then, by interacting with the simulator using our proposed algorithm, we identify the optimal control strategy, which is directly applied to real-world scenarios in the form of a neural network. A multi-reward mechanism is proposed to assist the lightweight network to find a near-optimal control strategy, and a priority experience playback mechanism is used to prioritize the data to accelerate the convergence speed of the neural network and improve the data utilization efficiency. At the same time, the deep residual shrinkage network is introduced to realize adaptive denoising and lightweightness of the neural network. The experimental results indicate that under narrowband white-noise excitation ranging from 0 to 100 Hz, the DDPG algorithm achieved a vibration reduction effect of 12.728 dB, while our algorithm achieved a vibration reduction effect of 20.240 dB. Meanwhile, the network parameters were reduced by more than 7.5 times. Full article
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21 pages, 32300 KiB  
Article
Flywheel Vibration Isolation of Satellite Structure by Applying Structural Plates with Elastic Boundary Instead of Restrained Boundary
by Xiangsen Kong, Hao Li, Xubin Zhou, Xiujuan Xiang and Xing Shen
Appl. Sci. 2023, 13(23), 12756; https://doi.org/10.3390/app132312756 - 28 Nov 2023
Viewed by 683
Abstract
Flywheels play a critical role as core components in satellite attitude control systems. However, their high-speed rotation inevitably generates vibrations that have a detrimental impact on the in-orbit imaging capabilities of high-precision remote sensing payloads. This study focuses on the passive vibration isolation [...] Read more.
Flywheels play a critical role as core components in satellite attitude control systems. However, their high-speed rotation inevitably generates vibrations that have a detrimental impact on the in-orbit imaging capabilities of high-precision remote sensing payloads. This study focuses on the passive vibration isolation design of satellite flywheels. The flywheel-mounted structural plate and flywheel vibration isolation platform are considered as a whole system (termed a plate-isolator system). In this system, the structural plate is treated as an elastomer. By simplifying the plate-isolator system as a 2-degree-of-freedom vibration system, it becomes evident that obtaining an ideal vibration isolation effect through the optimization of the flywheel vibration isolation platform (FVIP) alone is difficult. In order to enhance the passive vibration isolation effect for satellite flywheels, this study introduces the concept of an elastic boundary applied to the flywheel-mounted structural plate, thus treating the elastic boundary as a design factor. Consequently, the plate-isolator system can be simplified as a 3-stage vibration isolation system. The optimization of the elastic boundary condition of the structural plate is performed using the kinetic model of the simplified 3-stage system. The vibration isolation effect of the plate-isolator system with an elastic boundary is further confirmed through finite element simulation. The calculation results demonstrate that, after establishing a reasonable elastic boundary for the satellite structural plate, the overall vibration/force transmission rate of the plate-isolator system becomes similar to that of a single-degree-of-freedom dynamic system. Finally, the proposed concept is validated through kinetic response analysis of a cube satellite. The results reveal that the vibration amplitude of the satellite’s top and side structural plates can be effectively lowered if the elastic boundary condition is set for the flywheel-mounted bottom structural plate. Full article
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19 pages, 4002 KiB  
Article
The Modular Gait Design of a Soft, Earthworm-like Locomotion Robot Driven by Ultra-Low Frequency Excitation
by Zhifeng Qi and Xiuting Sun
Appl. Sci. 2023, 13(4), 2723; https://doi.org/10.3390/app13042723 - 20 Feb 2023
Cited by 2 | Viewed by 1474
Abstract
In complex and extreme environments, such as pipelines and polluted waters, gait programming has great significance for multibody segment locomotion robots. The earthworm-like locomotion robot is a representative multibody bionic robot, which has the characteristics of low weight, multibody segments, and excellent movement [...] Read more.
In complex and extreme environments, such as pipelines and polluted waters, gait programming has great significance for multibody segment locomotion robots. The earthworm-like locomotion robot is a representative multibody bionic robot, which has the characteristics of low weight, multibody segments, and excellent movement performance under the designed gait. The body segment cell can realize large deformation under ultra-low frequency excitation. The multibody segment robot can locomote under ultra-low frequency excitation with appropriate shifts. In this paper, a modular gait design principle for a soft, earthworm-like locomotion robot is proposed. The driven modules defined by modular gait generation correspond to the peristaltic wave transmissions of the excitation in the robot for different modular gait modes. A locomotion algorithm is presented to simulate the locomotion of the earthworm-like robot under different locomotion gaits. Moreover, the locomotion speeds are obtained for different modular gait modes. The results show that locomotion speed is related to the original state of the body segments and modular gaits. As the initial actuated segments and driven modules (which correspond to the excitation frequency and shift) increase, faster movement speeds can be realized, which resolves the speed saturation of the earthworm-like robot. The proposed modular gait design method gives a new gait generation principle for the improvement of the locomotion performance of soft, earthworm-like robots. Full article
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14 pages, 4756 KiB  
Article
Performance and Optimization of a Dual-Stage Vibration Isolation System Using Bio-Inspired Vibration Isolators
by Zhou Huang, Xianjie Shi, Dong Mu, Xin Huang and Weihao Tong
Appl. Sci. 2022, 12(22), 11387; https://doi.org/10.3390/app122211387 - 10 Nov 2022
Cited by 3 | Viewed by 1873
Abstract
This paper thoroughly investigates the performance and multi-parameter optimization of a dual-stage vibration isolation system with bio-inspired isolators (BI-DSVI) under different base excitations. The dynamic equations of the BI-DSVI are derived. Then, the optimization problem is defined, where three types of base excitation [...] Read more.
This paper thoroughly investigates the performance and multi-parameter optimization of a dual-stage vibration isolation system with bio-inspired isolators (BI-DSVI) under different base excitations. The dynamic equations of the BI-DSVI are derived. Then, the optimization problem is defined, where three types of base excitation (translation and rotations around the two horizontal axes) are studied. The optimization results show that the vibration transmissibility can be greatly reduced (more than 30 dB) by multi-parameter optimization, and an optimal configuration of structural parameters exists for the bio-inspired isolators. The effective vibration isolation bandwidth is significantly widened. Finally, the paper thoroughly discusses the influence of the structural parameters of the bio-inspired isolators and the base excitation types on the vibration isolation performance. The parameter studies provide useful guidelines for the application of the bio-inspired isolator in dual-stage vibration isolation. Full article
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24 pages, 10411 KiB  
Article
A New Vibration Controller Design Method Using Reinforcement Learning and FIR Filters: A Numerical and Experimental Study
by Xingxing Feng, Hong Chen, Gang Wu, Anfu Zhang and Zhigao Zhao
Appl. Sci. 2022, 12(19), 9869; https://doi.org/10.3390/app12199869 - 30 Sep 2022
Cited by 4 | Viewed by 1533
Abstract
High-dimensional high-frequency continuous-vibration control problems often have very complex dynamic behaviors. It is difficult for the conventional control methods to obtain appropriate control laws from such complex systems to suppress the vibration. This paper proposes a new vibration controller by using reinforcement learning [...] Read more.
High-dimensional high-frequency continuous-vibration control problems often have very complex dynamic behaviors. It is difficult for the conventional control methods to obtain appropriate control laws from such complex systems to suppress the vibration. This paper proposes a new vibration controller by using reinforcement learning (RL) and a finite-impulse-response (FIR) filter. First, a simulator with enough physical fidelity was built for the vibration system. Then, the deep deterministic policy gradient (DDPG) algorithm interacted with the simulator to find a near-optimal control policy to meet the specified goals. Finally, the control policy, represented as a neural network, was run directly on a controller in real-world experiments with high-dimensional and high-frequency dynamics. The simulation results show that the maximum peak values of the power-spectrum-density (PSD) curves at specific frequencies can be reduced by over 63%. The experimental results show that the peak values of the PSD curves at specific frequencies were reduced by more than 47% (maximum over 52%). The numerical and experimental results indicate that the proposed controller can significantly attenuate various vibrations within the range from 50 Hz to 60 Hz. Full article
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