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Applied Sciences
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Smart Vibration Control Technologies and Structural Health Monitoring Techniques: Theory...
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Smart Vibration Control Technologies and Structural Health Monitoring Techniques: Theory and Applications

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

Deadline for manuscript submissions: closed (1 September 2022) | Viewed by 5810

Special Issue Editors

Dr. Ehsan Noroozinejad Farsangi

E-Mail Website
Guest Editor
1. Urban Transformations Research Centre (UTRC), Western Sydney University, NSW 2214, Australia
2. Smart Structures Group, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Interests: modular construction; prefabrication; 3D printing; robotic construction; digital construction; net-zero; steel structures; RC structures; damping system; base isolation; vibration control; resilience; AI; VR; AR; smart structures; infrastructure; digital twin; SHM; structural dynamics; finite element method; earthquake engineering; smart materials
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Mohammad Noori

E-Mail Website1 Website2
Guest Editor
1. Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USA
2. School of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK
Interests: AI-based methods for structural health monitoring and dynamic response; random vibrations; hysteretic systems; seismic isolation; reliability and resilience
Special Issues, Collections and Topics in MDPI journals
Dr. Aleksandra Bogdanovic

E-Mail Website
Guest Editor
Department for Dynamic Testing and Informatics, University "Ss. Cyril and Methodius", Institute of Earthquake Engineering and Engineering Seismology-IZIIS, Skopje, North Macedonia
Interests: earthquake engineering; seismic design; structural analysis; structural dynamics; finite element analysis; dynamic analysis; structural reliability; seismology; vibration testing; nondestructive testing; SHM
Dr. Kemal Edip

E-Mail Website
Guest Editor
Department Geotechnics and Special Structures, University "Ss. Cyril and Methodius", Institute of Earthquake Engineering and Engineering Seismology-IZIIS, Skopje, North Macedonia
Interests: geotechnics; special structures; earthquake engineering; structural dynamics; soil–structure interaction; SHM; seismology; FE analysis
Dr. Florin Pavel

E-Mail Website
Guest Editor
Department of Reinforced Concrete Structures, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania
Interests: risk and fragility analysis; earthquake; seismology; seismics; earthquake seismology; earthquake engineering; civil engineering; seismotectonics; engineering seismology; earthquake prediction; tectonics; applied geophysics; active tectonics
Special Issues, Collections and Topics in MDPI journals
Dr. Baki Öztürk

E-Mail Website
Guest Editor
Department of Civil Engineering, Hacettepe University, 06800 Ankara, Turkey
Interests: structures; structural engineering; engineering and technology; innovative technologies; reinforced concrete; smart materials; earthquake engineering; structural health monitoring; structural control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will focus on the theory and application of novel vibration control systems and the related structural health monitoring techniques. It will showcase some of the latest efforts advancing the frontiers of vibration control and structural health monitoring. Topics include but are not limited to passive, semi-active, and active vibration control technologies; sensors for structural health monitoring; damage detection and characterization/feature extraction algorithms; data transmission for embedded systems; structural warning systems; validation of structural health monitoring techniques; case studies of vibration controls and health monitoring of structures and infrastructure (bridges, tunnels, pipelines, etc.); model-based structural service life prediction methods; etc.

Dr. Ehsan Noroozinejad Farsangi
Prof. Dr. Mohammad Noori
Dr. Aleksandra Bogdanovic
Dr. Kemal Edip
Dr. Florin Pavel
Dr. Baki Ozturk
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

  • hybrid control systems and control strategies
  • adaptive control
  • structural health monitoring
  • smart sensors
  • early warning
  • smart materials
  • base isolation
  • vibration control
  • damage detection
  • damage feature extraction algorithms
  • resilience
  • reliability of smart systems
  • probabilistic analysis
  • uncertainty quantification of active and passive control systems
  • distributed actuators
  • TMD
  • TLCD
  • magnetorheological (MR) fluid dampers

Published Papers (3 papers)

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Research

19 pages, 6798 KiB  
Article
Multiobjective Optimization Design for a MR Damper Based on EBFNN and MOPSO
by Leping Liu, Yinan Xu, Feng Zhou, Guoliang Hu, Lifan Yu and Chang He
Appl. Sci. 2022, 12(17), 8584; https://0-doi-org.brum.beds.ac.uk/10.3390/app12178584 - 27 Aug 2022
Cited by 5 | Viewed by 997
Abstract
The structural parameters of the magnetorheological (MR) damper significantly affect the output damping force and dynamic range. This paper presents a design optimization method to improve the damping performance of a novel MR damper with a bended magnetic circuit and folded flow gap. [...] Read more.
The structural parameters of the magnetorheological (MR) damper significantly affect the output damping force and dynamic range. This paper presents a design optimization method to improve the damping performance of a novel MR damper with a bended magnetic circuit and folded flow gap. The multiobjective optimization of the structural parameters of this MR damper was carried out based on the optimal Latin hypercube design (Opt LHD), ellipsoidal basis function neural network (EBFNN), and multiobjective particle swarm optimization (MOPSO). By using the Opt LHD and EBFNN, determination of the optimization variables on the structural parameters was conducted, and a prediction model was proposed for further optimization. Then, the MOPSO algorithm was adopted to obtain the optimal structure of the MR damper. The simulation and experimental results demonstrate that the damping performance indicators of the optimal MR damper were greatly improved. The simulation results show that the damping force increased from 4585 to 6917 N, and the gain was optimized by 50.8%. The dynamic range increased from 12.4 to 13.2, which was optimized by 6.4%. The experimental results show that the damping force and dynamic range of the optimal MR damper were increased to 7247 N and 13.8, respectively. Full article
(This article belongs to the Special Issue Smart Vibration Control Technologies and Structural Health Monitoring Techniques: Theory and Applications)
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24 pages, 9635 KiB  
Article
On the Efficacy of a Novel Optimized Tuned Mass Damper for Minimizing Dynamic Responses of Cantilever Beams
by Baki Ozturk, Huseyin Cetin, Maciej Dutkiewicz, Ersin Aydin and Ehsan Noroozinejad Farsangi
Appl. Sci. 2022, 12(15), 7878; https://0-doi-org.brum.beds.ac.uk/10.3390/app12157878 - 05 Aug 2022
Cited by 11 | Viewed by 2075
Abstract
This study examines the optimal design of a tuned mass damper (TMD) in the frequency domain so that the dynamic response of cantilever beams can be decreased. Random vibration theory is applied to identify the mean square acceleration of the endpoint of a [...] Read more.
This study examines the optimal design of a tuned mass damper (TMD) in the frequency domain so that the dynamic response of cantilever beams can be decreased. Random vibration theory is applied to identify the mean square acceleration of the endpoint of a cantilever beam as the objective function to be reduced. In addition, to determine the optimal TMD coefficient of mass, stiffness, and damping, a differential evolution (DE) optimization algorithm is employed. The upper and lower limit values of these parameters are taken into account. A majority of the previous studies have concentrated on determining just the stiffness and damping parameters of TMD. Nonetheless, in this study there is also the optimization of TMD mass parameters to determine the mass quantity. In addition, there has been inefficient use of the stochastic DE optimization algorithm method for the optimization of TMD parameters in previous studies. Hence, to obtain optimal TMD parameters, this algorithm is precisely used on the objective function. Tests are carried out on the cantilever beam with the TMD system following this optimization method with harmonic base excitations that resonate the foremost modes of the beam and white noise excitation. The method proposed here is reasonably practical and successful regarding the optimal TMD design. When a TMD is designed appropriately, the response of the cantilever beam under dynamic interactions undergoes a considerable reduction. Full article
(This article belongs to the Special Issue Smart Vibration Control Technologies and Structural Health Monitoring Techniques: Theory and Applications)
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28 pages, 45313 KiB  
Article
A Novel MRE Adaptive Seismic Isolator Using Curvelet Transform Identification
by Wael A. Altabey, Mohammad Noori, Zele Li, Ying Zhao, Seyed Bahram Beheshti Aval, Ehsan Noroozinejad Farsangi, Ramin Ghiasi and Ahmed Silik
Appl. Sci. 2021, 11(23), 11409; https://0-doi-org.brum.beds.ac.uk/10.3390/app112311409 - 02 Dec 2021
Cited by 13 | Viewed by 1756
Abstract
Magnetorheological elastomeric (MRE) material is a novel type of material that can adaptively change the rheological property rapidly, continuously, and reversibly when subjected to real-time external magnetic field. These new type of MRE materials can be developed by employing various schemes, for instance [...] Read more.
Magnetorheological elastomeric (MRE) material is a novel type of material that can adaptively change the rheological property rapidly, continuously, and reversibly when subjected to real-time external magnetic field. These new type of MRE materials can be developed by employing various schemes, for instance by mixing carbon nanotubes or acetone contents during the curing process which produces functionalized multiwall carbon nanotubes (MWCNTs). In order to study the mechanical and magnetic effects of this material, for potential application in seismic isolation, in this paper, different mathematical models of magnetorheological elastomers are analyzed and modified based on the reported studies on traditional magnetorheological elastomer. In this regard, a new feature identification method, via utilizing curvelet analysis, is proposed to make a multi-scale constituent analysis and subsequently a comparison between magnetorheological elastomer nanocomposite and traditional magnetorheological elastomers in a microscopic level. Furthermore, by using this “smart” material as the laminated core structure of an adaptive base isolation system, magnetic circuit analysis is numerically conducted for both complete and incomplete designs. Magnetic distribution of different laminated magnetorheological layers is discussed when the isolator is under compressive preloading and lateral shear loading. For a proof of concept study, a scaled building structure is established with the proposed isolation device. The dynamic performance of this isolated structure is analyzed by using a newly developed reaching law sliding mode control and Radial Basis Function (RBF) adaptive sliding mode control schemes. Transmissibility of the structural system is evaluated to assess its adaptability, controllability and nonlinearity. As the findings in this study show, it is promising that the structure can achieve its optimal and adaptive performance by designing an isolator with this adaptive material whose magnetic and mechanical properties are functionally enhanced as compared with traditional isolation devices. The adaptive control algorithm presented in this research can transiently suppress and protect the structure against non-stationary disturbances in the real time. Full article
(This article belongs to the Special Issue Smart Vibration Control Technologies and Structural Health Monitoring Techniques: Theory and Applications)
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