Dear Colleagues,

Ionut Moldovan, Elói Figueiredo, Rolands Kromanis, and Yun-Lai Zhou are organizing a Special Issue (SI) new technologies in structural health monitoring (SHM) of buildings and infrastructure. This SI will be published in the journal Buildings, which is ranked Q1 according to Scimago and has an impact factor of 3.324 (2021). You can find all the details in the following link: https://www.mdpi.com/journal/buildings/special_issues/E09145I0FG.

The submission deadline is October  31, 2023.

SHM of buildings and infrastructure has been an exceedingly active research topic in the last decade, leading to the emergence of new technologies in basically all involved areas. On the sensing side, conventional sensing technologies have been complemented by distributed fibre optic and wireless sensor networks, accelerometers mounted on vehicles and smartphones, and a vast array of non-contact sensors, such as cameras and lasers. Civil engineering structures are one-of-a-kind structures that cannot be intentionally damaged to gain information on their behaviour when damage is present; to cope with this issue, the recent concepts of hybrid SHM and transfer learning are aimed at obtaining data corresponding to structural conditions that rarely occur (extreme environmental and operational conditions, damage) from numerical models of the structure and from similar structures where such data are available, respectively. Moreover, concerns about the impact of climate change on buildings and infrastructure have led to the integration of SHM and risk assessment technology to better identify vulnerable structures. Such advances have been supported by large improvements in machine learning technology, where the continued development of unsupervised and supervised algorithms has been boosted by new artificial intelligence technologies such as deep learning.

Therefore, this SI intends to bring together publications involving new technologies for the SHM of buildings and infrastructure, acting at all levels (sensing, data augmentation, machine learning etc) to highlight the current capabilities and future trends.

Dr. Ionut Dragos Moldovan
Prof. Dr. Eloi Figueiredo
Dr. Rolands Kromanis
Prof. Dr. Yunlai Zhou
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.

• sensors
• hybrid SHM
• transfer learning
• machine learning algorithms
• smartphone sensing
• digital twins
• finite element modelling
• augmented reality
• virtual reality
• advanced sensing technologies