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Report Details

Title:Automating Inspection and Damage Assessment of Transportation Infrastructure with Structure from Motion
Authors:Chao Jiang, Rebecca Atadero, and P.R. Heyliger
University:Colorado State University
Publication Date:Jun 2022
Report #:MPC-22-460
Project #:MPC-507
TRID #:01852745
Keywords:automatic data collection systems, finite element method, image analysis, inspection, structural analysis

Abstract

Several approaches are presented that allow for a direct path of image-to-analysis for the mechanics of structures using a combination of structure-from-motion (SFM) and the finite element method. Through these methods, conventional computational methods can be applied to models created from digital images of structures that may have been generated without conventional design methods. Several procedures are introduced to overcome limitations of SFM when applied to existing structural systems. Several models are used as means of demonstration for man-made structures, including a clock tower and several works of sculpture under both static and free vibration analysis.

How to Cite

Jiang, Chao, Rebecca Atadero, and P.R. Heyliger. Automating Inspection and Damage Assessment of Transportation Infrastructure with Structure from Motion, MPC-22-460. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2022.

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