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Applied Sciences
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Vibration-Based Structural Health Monitoring Ⅱ
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Vibration-Based Structural Health Monitoring Ⅱ

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 10167

Special Issue Editor

Prof. Dr. Junhong Park

E-Mail Website
Guest Editor
Department of Mechanical Engineering, College of Engineering, Hanyang University, Seoul 04763, Korea
Interests: interior aerodynamic noise in road and air vehicles; micromechanics of polymers and granular materials; measurement of dynamic material properties of polymers; granular and porous materials; fluid-structure interactions and aeroacoustics; vibration; sound radiation analysis of advanced structures; active vibration and noise control using smart materials; structural health monitoring; control of flow-induced sound and vibrations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As structures become more complex, the need for structural health monitoring is increasing in many applications. Vibration occurs from widely different sources, including internal and external excitations and other sources in the surrounding environments. The use of vibration for structural integrity monitoring allows robust, efficient, and straightforward implementation. The utilization of vibration for inspection requires the contribution and understanding of multidisciplinary research fields. Due to various aspects of a vibrating system, the vibration-based approach requires investigations from many different fields including applied mechanics, solid mechanics, fluid mechanics, acoustics, signal processing, electronics, material science, etc.

Prof. Dr. Junhong Park
Guest Editor

Manuscript Submission Information

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Keywords

  • Audio signal processing
  • Modeling and simulation of vibration
  • Theoretical and experimental investigations of vibration generation and transfer
  • Experimental modal analysis for vibration characterization
  • Structural acoustics
  • Vibration analysis of infrastructures
  • Optimization for structural health monitoring
  • Ambient excitations and resulting vibrations
  • Excitations from moving loads
  • AI-based understanding of vibration characteristics
  • AI-assisted feature extractions and condition monitoring
  • IoT for structural health monitoring

Published Papers (4 papers)

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Research

15 pages, 431 KiB  
Article
An Investigation of Particle Swarm Optimization Topologies in Structural Damage Detection
by Xiao-Lin Li, Roger Serra and Julien Olivier
Appl. Sci. 2021, 11(11), 5144; https://doi.org/10.3390/app11115144 - 01 Jun 2021
Cited by 6 | Viewed by 2279
Abstract
In the past few decades, vibration-based structural damage detection (SDD) has attracted widespread attention. Using the response data of engineering structures, the researchers have developed many methods for damage localization and quantification. Adopting meta-heuristic algorithms, in which particle swarm optimization (PSO) is the [...] Read more.
In the past few decades, vibration-based structural damage detection (SDD) has attracted widespread attention. Using the response data of engineering structures, the researchers have developed many methods for damage localization and quantification. Adopting meta-heuristic algorithms, in which particle swarm optimization (PSO) is the most widely used, is a popular approach. Various PSO variants have also been proposed for improving its performance in SDD, and they are generally based on the Global topology. However, in addition to the Global topology, other topologies are also developed in the related literature to enhance the performance of the PSO algorithm. The effects of PSO topologies depend significantly on the studied problems. Therefore, in this article, we conduct a performance investigation of eight PSO topologies in SDD. The success rate and mean iterations that are obtained from the numerical simulations are considered as the evaluation indexes. Furthermore, the average rank and Bonferroni-Dunn’s test are further utilized to perform the statistic analysis. From these analysis results, the Four Clusters are shown to be the more favorable PSO topologies in SDD. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring Ⅱ)
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21 pages, 18539 KiB  
Article
Vibration-Based Fingerprint Algorithm for Structural Health Monitoring of Wind Turbine Blades
by Theresa Loss and Alexander Bergmann
Appl. Sci. 2021, 11(9), 4294; https://doi.org/10.3390/app11094294 - 10 May 2021
Cited by 3 | Viewed by 2642
Abstract
Monitoring the structural health of wind turbine blades is essential to increase energy capture and operational safety of turbines, and therewith enhance competitiveness of wind energy. With the current trends of designing blades ever longer, detailed knowledge of the vibrational characteristics at any [...] Read more.
Monitoring the structural health of wind turbine blades is essential to increase energy capture and operational safety of turbines, and therewith enhance competitiveness of wind energy. With the current trends of designing blades ever longer, detailed knowledge of the vibrational characteristics at any point along the blade is desirable. In our approach, we monitor vibrations during operation of the turbine by wirelessly measuring accelerations on the outside of the blades. We propose an algorithm to extract so-called vibration-based fingerprints from those measurements, i.e., dominant vibrations such as eigenfrequencies and narrow-band noise. These fingerprints can then be used for subsequent analysis and visualisation, e.g., for comparing fingerprints across several sensor positions and for identifying vibrations as global or local properties. In this study, data were collected by sensors on two test turbines and fingerprints were successfully extracted for vibrations with both low and high operational variability. An analysis of sensors on the same blade indicates that fingerprints deviate for positions at large radial distance or at different blade sides and, hence, an evaluation with larger datasets of sensors at different positions is promising. In addition, the results show that distributed measurements on the blades are needed to gain a detailed understanding of blade vibrations and thereby reduce loads, increase energy harvesting and improve future blade design. In doing so, our method provides a tool for analysing vibrations with relation to environmental and operational variability in a comprehensive manner. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring Ⅱ)
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20 pages, 9015 KiB  
Article
Output-Only Modal Estimation Using Eigensystem Realization Algorithm with Nonstationary Data Correlation
by Chang-Sheng Lin and Ming-Hsien Lin
Appl. Sci. 2021, 11(7), 3088; https://doi.org/10.3390/app11073088 - 30 Mar 2021
Cited by 5 | Viewed by 2067
Abstract
The conventional eigensystem realization algorithm with data correlation (ERA/DC) combines the impulse response or free response data of a structural system with the concept of correlation function to identify the modal parameter of the structural system. Previous studies have shown that the modal [...] Read more.
The conventional eigensystem realization algorithm with data correlation (ERA/DC) combines the impulse response or free response data of a structural system with the concept of correlation function to identify the modal parameter of the structural system. Previous studies have shown that the modal parameters of structural systems subjected to stationary white noise excitation can be estimated by ERA/DC from the ambient response without excitation data. This concept is extended in this paper for output-only modal identification for the structural system with complex modes under ambient excitation as a nonstationary process in the form of a product model. Numerical simulations and experimental verification are used to validate the effectiveness of the proposed method for response-only modal estimation, and the stabilization diagram is used with modal assurance criterion (MAC) to distinguish structural modes from fictitious modes. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring Ⅱ)
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21 pages, 3066 KiB  
Article
A Novel VBSHM Strategy to Identify Geometrical Damage Properties Using Only Frequency Changes and Damage Library
by Anurag Dubey, Vivien Denis and Roger Serra
Appl. Sci. 2020, 10(23), 8717; https://doi.org/10.3390/app10238717 - 05 Dec 2020
Cited by 5 | Viewed by 2529
Abstract
Vibration-based structural health monitoring is an efficient way to diagnose damage and structural integrity at the earliest stage. In this paper, a new strategy is developed for damage localization and estimation, as well as damage properties identification for a rectangular geometry damage using [...] Read more.
Vibration-based structural health monitoring is an efficient way to diagnose damage and structural integrity at the earliest stage. In this paper, a new strategy is developed for damage localization and estimation, as well as damage properties identification for a rectangular geometry damage using only eigenfrequencies of the healthy and damaged structure. This strategy is applied to a cantilever beam. In this framework, a damage library is built by correlating 2D and 3D finite element models. The correlation is done by minimizing a so-called frequency shift coefficient. The proposed strategy also uses the frequency shift coefficient to correlate a 2D damaged model with an unknown beam case. The 2D damage, represented by a bending stiffness reduction, is then associated to a 3D damage by employing the damage library. Numerical cases with single and double damage of varying position and severity are tested and used to validate the approach. Finally, experimental results are proposed that show the relevance of the strategy. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring Ⅱ)
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