Sensors and Sensing Technologies for Monitoring and Inspection during Construction
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 1385
Special Issue Editors
Interests: smart systems; smart structures; sensors; structural health monitoring; real-time learning
Special Issues, Collections and Topics in MDPI journals
Interests: construction inspection sensors; remote virtual inspection; digital inspection; visualization
Interests: structural health monitoring; smart materials; bridge engineering; earthquake engineering
Interests: risk-based inspection; construction technology; design and construction interface; uncertainty quantification
Special Issue Information
Dear Colleagues,
We are organizing a Special Issue on sensors and sensing technologies targeting monitoring and inspection during the construction of building and infrastructure projects. Assessing the condition of structures, and their elements and materials, during the erection process is particularly difficult because of their constantly changing boundary conditions, high levels of uncertainty, and the lack of available prior knowledge. This Special Issue aims to synthesize the latest developments in emerging technologies enabling condition assessments and inspection in this challenging environment and to generate discussions on future research needs to empower the construction industry with real-time decision-making capabilities and ensure structural integrity and safe work sites.
Topics of interest include, but are not limited to:
- Integrating building/bridge information models (BIMs) with sensor data.
- Construction applications of digital twin models with integrated sensor data.
- The co-design of structural systems of sensor networks for in-construction assessment.
- Machine learning methods and other data-based methods that enable structural health monitoring during construction.
- Real-time model updates using sensor data.
- Human-in-the-loop techniques to interpret sensor information.
- Sensing strategies for safe work sites.
- Sensing technologies for remote virtual inspection.
- Advanced photogrammetric methods for digital surveys in construction sites.
- Digital technologies and sensors for automated defect identification in remote inspections.
- AI methods for inspections and safe construction sites.
- Decision-making science using in-construction measurements.
- Sensing technologies and visualization for construction inspection.
- Applications of emerging digital and sensing technologies for construction.
Dr. Simon Laflamme
Dr. Roy Sturgill
Prof. Dr. Filippo Ubertini
Dr. Dan Tran
Dr. Denvid Lau
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. Sensors 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.
Keywords
- construction
- inspection
- sensing
- structural ealth monitoring (SHM)
- remote sensing
- machine learning
- physics-informed monitoring
- digital twins
- building information model (BIM)
- bridge information model
- bridge management system
