As-Built Monitoring of Concrete Structures

Research output: Contribution to book/Conference proceedings/Anthology/ReportChapter in book/Anthology/ReportContributedpeer-review

Contributors

Abstract

In the digital age, 3D as-built monitoring of structures and buildings is becoming increasingly important. It provides the basis for automated quality control and progress monitoring through as-built and as-planned model-comparisons, as well as 3D modelling for automated repair, refurbishment and reuse in existing construction. Especially for 3D model-based manufacturing processes such as additive manufacturing, efficient as-built monitoring is essential to ensure the quality and accuracy of buildings and products. Therefore, three different 3D scanning devices have been evaluated for 3D as-built monitoring of concrete structures with different characteristics: An industrial handheld laser scanner commonly used in automotive and mechanical engineering, a mobile device with lidar for commercial public use, and a terrestrial laser scanner commonly used for surveying. The devices were tested on 3D printed, cast, and assembled structures of different sizes and geometries. The scan results are compared to the as-planned models based on their dimensional distances using Cloud-to-Cloud Comparison (C2C). The results show that the applicability is highly dependent on the size, geometric complexity and surface texture of the concrete structures. While small and flat structures can be captured completely and with micrometer accuracy using the handheld industrial laser scanner, terrestrial laser scanners are suitable for capturing large structures and environments. The handheld, photogrammetry-based mobile device has demonstrated the broadest applicability for concrete structures. The accuracy and coverage of the point cloud results were respectively high. Therefore, photogrammetry-based scanning with advanced mobile devices is a cost-effective, fast and portable alternative for 3D as-built monitoring and data acquisition of a wide range of concrete structures.

Details

Original languageEnglish
Title of host publicationRILEM Bookseries
PublisherSpringer Science and Business Media B.V.
Pages158-165
Number of pages8
Publication statusPublished - 2024
Peer-reviewedYes

Publication series

SeriesRILEM Bookseries
Volume53
ISSN2211-0844

Keywords

Keywords

  • C2C comparison, Concrete Scanning, Digital Concrete Twin, Photogrammetry, Point Cloud, Quality Control