Abstract
Despite the tremendous advantages of the laser scanning technology for the geometric characterization of built constructions, there are important limitations preventing more widespread implementation in the structural engineering domain. Even though the technology provides extensive and accurate information to perform structural assessment and health monitoring, many people are resistant to the technology due to the processing times involved. Thus, new methods that can automatically process LiDAR data and subsequently provide an automatic and organized interpretation are required. <br><br> This paper presents a new method for fully automated point cloud segmentation of masonry arch bridges. The method efficiently creates segmented, spatially related and organized point clouds, which each contain the relevant geometric data for a particular component (pier, arch, spandrel wall, etc.) of the structure. The segmentation procedure comprises a heuristic approach for the separation of different vertical walls, and later image processing tools adapted to voxel structures allows the efficient segmentation of the main structural elements of the bridge. The proposed methodology provides the essential processed data required for structural assessment of masonry arch bridges based on geometric anomalies. The method is validated using a representative sample of masonry arch bridges in Spain.
Highlights
Geomatic technologies gained popularity in the last years related to the tasks involving geometric characterization
Since the proposed method aims to be a tool for construction and structural engineers it starts with a registered point cloud of the bridges because it is the most primitive product delivered by the surveyors
The partition of the global point cloud in its composing elements is made combining an heuristic method for the vertical walls segmentation together with image processing tools adapted to the 3D space for the non vertical walls of the bridge
Summary
Geomatic technologies gained popularity in the last years related to the tasks involving geometric characterization. The main advantage of these technologies is the non-destructive nature together with the transversal applications of the technologies to many different fields. These technologies represent a very attractive and powerful tool for the study of historic constructions. Even more than 70% date from XIX century, approximately 12% are older than 150 years (dating from Mediaeval or even from the Roman period). This fact makes that modern society realize that apart from their value as elements of the transport network, they have an incalculable value as heritage elements
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