Structural Health Monitoring and Vibration Control
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 920
Special Issue Editors
Interests: stochastic optimal control; random system identification; optimal parameter estimation; bayesian inference; stochastic system dynamics; machine learning
Interests: structural health monitoring; bayesian inference and machine learning
Interests: vehicle-bridge coupling interaction; structural health monitoring and control of maglev system; suspension control
Interests: structural health monitoring; structural dynamics and control; smart materials and structures; sensors and actuators; bayesian inference and machine learning; high-speed rail and maglev safety
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural health monitoring and vibration control are two important research subjects that are expanding in the engineering and theoretical fields. With the development of estimation methods, diagnosis technology, control strategies, optimization algorithms, multi-physics sensing, and actuating technology, etc., vibration-based structural health monitoring and structural vibration control, especially for uncertain systems under random excitations due to the application of artificial intelligence technology, have been experiencing tremendous progress. Buildings are an important class of engineered structures, which generally have uncertain parameters and are subjected to random excitations due to their structural complexity and environmental uncertainty. Accordingly, research focusing on the technology and theory of health monitoring and vibration control related to built structures will lead to their advancement. This Special Issue focuses on structural health monitoring and vibration control for various extensive engineering and theoretical problems using various estimation, control, optimization, and intelligence technologies, including estimation and identification methods, control strategies and methods, sensing and actuating technology, application analysis and experiments, data processing, machine learning and inference, neural network representation, etc. This issue will bring together and share recent relevant research, aiming to enable extensive development in this area. The potential topics for this issue include, but are not limited to, the following:
- Structural health monitoring;
- Estimation method and applications;
- Vibration control;
- Control method and applications;
- Sensor and actuator technology and applications;
- Data processing technology and applications;
- Machine learning and inference and applications;
- Neural network algorithm and applications;
- Smart structural dynamics.
Prof. Dr. Zuguang Ying
Dr. Youwu Wang
Dr. Sumei Wang
Prof. Dr. Yi-Qing Ni
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. Buildings is an international peer-reviewed open access monthly 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.
Keywords
- structural health monitoring
- parameter estimation
- vibration control
- data processing
- machine learning
- neural network
- smart structural dynamics
- stochastic vibration
