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Accuracy improvement of the prestressed concrete structures precise geometry assessment by use of bubble micro-sampling algorithm
Abstract
Prestressed concrete structures are well-known technology for a vast period, but nevertheless, this very technology is a leading solution, currently used in construction industry. Prestressed concrete structures have a huge advantage over conventional methods because it uses the properties of concrete in a very efficient way. The main idea behind this technology is to introduce into the cross-section of the structure, the internal forces which are opposed to external loads effects. Authors have proposed a method to improve the accuracy of the geometry measurement in prestressed concrete structures using Terrestrial Laser Scanning (TLS). The method raised by the authors is based on Spheres Translation Method, which was developed to study geometry deformation of concrete elements subjected to failure. The new solution, prepared by the authors, enhanced Spheres Translation Method with the generation of additional points in the cloud using a Monte Carlo simulation. Monte Carlo simulation used in point cloud generation gives a better estimation of the marker position which leads to a better motion tracking for the geometry of the object being scanned. Geometry assessment of prestressed reinforced concrete beam has been performed by use of TLS. Prestressed reinforced concrete beam has been subjected to failure and scanned by Terrestrial Laser Scanner.
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Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 16th International Multidisciplinary Scientific GeoConference SGEM 2016 strony 799 - 806
- ISSN:
- 1314-2704
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Ziółkowski P., Szulwic J., Nagrodzka-Godycka K..: Accuracy improvement of the prestressed concrete structures precise geometry assessment by use of bubble micro-sampling algorithm, W: 16th International Multidisciplinary Scientific GeoConference SGEM 2016 , 2016, STEF92 TECHNOLOGY LTD,.
- DOI:
- Digital Object Identifier (open in new tab) 10.5593/sgem2016/b22/s10.102
- Verified by:
- Gdańsk University of Technology
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