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Emerging Topics in Mechanical Vibrations Analysis: Optical Methods and Machine Learning Approaches

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 279

Special Issue Editors

Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy
Interests: structural dynamics; vision systems; additive manufacturing; 3D printing; digital image correlation; modal analysis; full field methods
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Department of Information Engineering, University of Pisa, Via Girolamo Caruso, 16, 56122 Pisa, PI, Italy
Interests: artificial intelligence; genetic fuzzy systems; multiobjective optimization; decision support systems; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals

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Politecnico di Torino Department of Mechanical and Aerospace Engineering, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
Interests: contact mechanics; tribology; aeroengine dynamics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10139 Torino, Italy
Interests: bladed disk structural dynamics; nonlinear vibrations in frictionally damped systems; reduction techniques; aeroelasticity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleague,

This Special Issue on "Emerging Topics in Mechanical Vibrations Analysis: Optical Methods and Machine Learning Approaches" aims to present cutting-edge research and developments in the analysis and management of vibrations within structural systems. We invite contributions that address both fundamental and applied aspects of structural dynamics, with a particular focus on (but not limited to) optical methods or machine learning approaches, including:

Experimental Approaches: New experimental methodologies for measuring and analyzing vibrations, including sensor technologies and data acquisition techniques, with a particular focus on optical methods.

Machine Learning Approaches: development of artificial intelligence tools and neural networks with direct application to vibration measurements, data post-processing, and vibration suppression.

Dynamic Modeling and Simulation: Advances in theoretical and computational models for predicting the dynamic behavior of structures, especially through machine learning.

Vibration Control Techniques: Innovative methods for controlling and mitigating vibrations, including passive, active, and hybrid systems.

Response Analysis: Studies on the dynamic response of structures to different types of loads, such as earthquakes, wind, and operational vibrations.

Structural Integrity and Safety: Implications of vibrations on the structural integrity and safety of mechanical and aerospace structures.

Case Studies: Practical applications and real-world case studies demonstrating the implementation of dynamic analysis and vibration control in engineering projects.

We encourage submissions that contribute to advancing both theoretical understanding and practical applications in structural dynamics and vibration analysis, offering new insights, methodologies, or technologies that can benefit a wide range of engineering disciplines by applying optical methods or machine learning approaches.

Dr. Paolo Neri
Dr. Marco Cococcioni
Prof. Dr. Daniele Botto
Dr. Christian Maria Firrone
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

  • structural dynamics
  • optical methods for vibration measurements
  • machine learning in structural dynamics
  • vibration suppression
  • dynamic modeling and simulation

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Published Papers

This special issue is now open for submission.
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