Remote Sensing for Structural Health Monitoring and Structural Analysis in Civil Engineering and Industrial Facilities Structures
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 5610
Special Issue Editors
Interests: lidar; laser scanner; engineering; construction; photogrammetry
Interests: application of geomatic technologies to the dimensional and structural monitoring of large infrastructure facilities; structural health monitoring using geotechnologies.
Special Issue Information
Dear Colleagues,
Monitoring the structural health of civil engineering and industrial infrastructure is crucial to both guarantee its safety and to plan for adequate maintenance measures. In this sense, nondestructive techniques, and, in particular, remote sensing technologies (Lidar, Photogrammetry, InfraRed Thermography, etc.), have seen widespread use in recent years. Furthermore, these techniques constitute a foundation for most 3D modeling approaches that carry out structural analysis functions based on numerical simulations or Building Information Modeling (BIM) and Heritage Building Information Modeling (HBIM) processes.
We are inviting authors to contribute to this Special Issue with the submission of original artilces covering any aspect of remote sensing and the application of nondestructive techniques in structural health monitoring and analysis in civil engineering and industrial facilities. Topics of interest include, but are not limited to:
- Point cloud data processing for automatic detection, segmentation, and modeling of structural elements (algorithms and applications).
- 3D geometrical modeling for as-built BIM and HBIM used for structural health monitoring.
- Detection and quantification of structural damage and defects based on remote sensing and nondestructive techniques.
- Analysis of evolution of structural health over time using remote sensing and non-destructive techniques.
- New methods and approaches for the development and calibration of FEM models based on sensing data.
- Computational modeling for structural analysis purposes supported by remote sensing data.
Dr. Manuel Cabaleiro
Dr. Borja Conde
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. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- Terrestrial Laser Scanner (TLS)
- Infrared Thermography (IRT)
- Nondestructive Techniques (NDT)
- Laser Imaging Detection and Ranging (LiDAR)
- point cloud data processing
- 3D modeling
- Building Information Modeling (BIM)
- Heritage Building Information Modeling (HBIM)
- finite element method (FEM)
- structural analysis
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