Intelligent Material Structures for Vibration Suppression, Energy Harvesting, Structural Health Monitoring

Dear Colleagues,

We are delighted to present this Special Issue on "Intelligent Material Structures for Vibration Suppression, Energy Harvesting, and Structural Health Monitoring". The field of intelligent materials and structures has emerged as a promising area of research in recent years, with the potential to revolutionize various industries. The ability of these intelligent material structures and systems to adapt to changing environmental conditions and respond to external stimuli has opened up new opportunities for various applications, including vibration suppression, energy harvesting, and Structural Health Monitoring.

This Special Issue aims to provide a platform for leading researchers and experts from around the world to share their latest findings and insights on the developments in intelligent material structures and systems for vibration suppression, energy harvesting, and Structural Health Monitoring. The articles in this issue will cover a wide range of topics, including, but not limited to:

• The design and fabrication of intelligent materials for vibration suppression, energy harvesting, and Structural Health Monitoring applications.
• The optimization of intelligent material systems for specific applications, such as aerospace, automotive, and civil engineering.
• The development of refined theoretical modelling methods for intelligent material structures and systems.
• The design of shunt circuits to realize active tuning of electromechanical properties of intelligent material systems.
• The study of the impacts of ambient environmental conditions on the performance of intelligent material systems.
• The development of control algorithms for intelligent material systems to improve energy harvesting, vibration suppression, and Structural Health Monitoring performance.
• The integration of intelligent material systems with other technologies, such as wireless power transfer and low-power communication systems.

The goal is to promote the development of intelligent material structures and systems that can enhance the performance and sustainability of various industries, such as aerospace, automotive, and civil engineering. Your contribution will help to advance this field. We hope that you will consider submitting your work to this Special Issue, and we look forward to receiving your submissions.

Dr. Guobiao Hu 
Dr. Chunbo Lan
Prof. Dr. Junlei Wang
Dr. Xin Li
Dr. Yupei Jian
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. Materials 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 2600 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.

• intelligent materials
• energy harvesting
• structural health monitoring
• metamaterials
• control algorithms
• optimization