01627712

Component

The deformation of structures is an important indicator to define the structural health of bridges. Photogrammetry is an image-based technique that has been used to monitor such structural deformations among many others. But the traditional photogrammetric approach requires access to the structure to establish targets or control points in multiple locations. The methods that require access to the structure are typically laborious and less safe. Hence this paper presents a noncontact remote sensing technique that uses both Terrestrial Laser Scanning (TLS) data and images. The requirement of control points for is overcome by using TLS data. Due to discrete distribution of points in TLS data, identifying control points is a challenging task. Hence, this research paper demonstrates a method of extracting linear features that are visible in both data sets. In order to accommodate the linear features in the traditional point-based photogrammetric equations, a new feature-based photogrammetric methodology is introduced. The validity of the methodology is tested with two wooden beams (pine and oak) in a lab environment. The computed structural deformations are compared with deflectometer and point-based and its feasibility to monitor the deformation of prototype timber structures is discussed.

This paper was sponsored by TRB committee AFF40 Standing Committee on Testing and Evaluation of Transportation Structures.

01618707

17-05524

English

21p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Deformation; Image analysis; Lasers; Methodology; Photogrammetry; Remote sensing; Structural health monitoring; Wooden bridges

Bridges and other structures; Highways; Maintenance and Preservation

Transportation Research Board Annual Meeting 2017 Paper #17-05524

TRIS, TRB, ATRI

Dec 8 2016 12:11PM