Towards an expeditious as-is surface reconstruction. (15th December 2016)

• Record Type: Journal Article
• Authors: Bernardo, G.M.S.; Rodrigues, J.A.; Loja, M.A.R.
• Is Part Of: Engineering structures. Volume 129(2016:Dec. 15)
• Page Start: 91
• Page End: 107
• Publication Date: 2016-12-15
• Subjects: Health monitoring -- Point clouds -- Structured grids -- Meshless methods -- Surface reconstruction; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2016.11.042
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Integrated methodology for the reconstruction of as-buit/as-is surfaces of structures, represented by 3D point's clouds. 3D laser scanning as a non-destructive technique for the documentation of the actual/real status of surfaces. Global reconstruction methodology in one just platform, with a parametrized character Abstract: Conservation and rehabilitation of structures such as urban buildings and heritage requires a growing effort on the establishment of sufficiently comprehensive documentation concerning the time evolution of these structures' characteristics and health condition. These documentation archives and databases should be much more than just a collection of structure's design plans, and desirably they should contain information about the as-built and as-is states of a certain structure. Due to the technological evolution of data acquisition systems, 3D laser scanning points' clouds became an important data source that enables the subsequent representation of 3D surface's geometries, and thus the constitution of data repositories. However, it is known that the volume of data obtained, can be enormous and the computation time to process it, a heavy task. The present work proposes an expeditious, continuous processing methodology that aims in a first step the generation of a points' structured grid and its associated triangle structured mesh by defining an injective function from a virtual surface onto the surface's cloud points. The additional possibility of selecting the virtual grid dimension to be used, enable representations with different levels of detail. In a second step, the resulting structured grids are used to reconstruct the corresponding surfaces by considering compactly-supported radial basis functions. The main contribution of this work is thus related to the proposal of an expeditious integrated processing methodology of points' clouds. A set of case studies are presented to illustrate the performance of the present integrated methodology.