AI-Driven Health Monitoring and Management of Building and Energy Structures

Dear Colleagues,

This Special Issue, titled “AI-Driven Health Monitoring and Management of Building and Energy Structures” will cover advances in the structural health monitoring and management of buildings, bridges, and aerospace structures, integrating monitoring information and artificial intelligence (AI) techniques, contributing to the development of smart monitoring and management systems. How to establish the efficient structural monitoring system and how to make full use of the monitoring information have been particularly significant in risk prevention and health state assessment for engineering structures. Reliable sensors, data interpretation and AI algorithms, structural parameter recognition, and physical state assessment and prediction are critical for achieving this goal. Such methods enable straightforward descriptions of the structural operation state, as well as damage warning and potential disaster prediction, making structural management systems smart and efficient. Therefore, this Special Issue will discuss major advances in the development of smart sensors (i.e., optical fiber sensors and acoustic sensors), efficient data processing and interpretation methods, AI-driven structural feature recognition, structural state assessment and life-cycle prediction, potential damage and risk prevention, and smart management. This Special Issue will cover original or review articles exploring innovations in structural health monitoring and management systems. Themes of interests include, but not limited to, the following:

• Smart monitoring system for buildings, bridges and aerospace structures;
• Advanced sensors, i.e., optical fiber sensors and acoustic sensors;
• Structural parameter recognition and physical state assessment;
• Data fusion and model updating methods;
• AI driven structural feature identification;
• Vibration based structural state characterization;
• Monitoring data motivated model updating;
• Structural risk prevention and management;
• Sudden disaster warning techniques;
• Smart management of structural life-cycle.

Dr. Huaping Wang
Dr. Pengfei Cao
Prof. Dr. Ping Xiang
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 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.