Data-Driven Analysis of Nonlinear Vibrations

Dear Colleagues,

In recent years, the increased demand placed on engineering structures has resulted in a marked interest in complex vibration problems, including nonlinear vibrations, fluid–structure interaction, aeroelasticity, digital twins, meta-structures, and a broad range of additional multiphysics problems. The importance of properly understanding and modelling this behavior can be observed, for example, in the recent in-flight break-up of an Airbus Zephyr unmanned air vehicle (2019). This complexity manifests not only in the behavioral response of the system, but also in the corresponding equations and models. As such, engineers often look to model reduction techniques or other approximation methods to accurately capture the behavior in a more practical model.

The modelling of such systems increasingly utilizes recent advancements in data science and machine learning as a method of training a model based on realistic simulation data, improving their practicability, and reducing the associated uncertainty. This Special Issue focuses on the most recent advancements in the field of data-driven dynamic modelling, collating the findings and approaches of the broad range of complex vibration problems outlined above. In doing so, the Special Issue will provide a comprehensive overview of this exciting area, so that insight can be applied in the engineering design process, as well as in further research.

Dr. Alexander Elliott
Dr. Andrea Cammarano
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. Vibration is an international peer-reviewed open access quarterly 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 1600 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.

• nonlinear vibrations
• fluid-structure interaction
• aeroelasticity
• data-driven engineering
• physics-informed neural networks
• deep/machine learning
• multiphysics systems
• reduced-order modelling