Date of Award:

8-2020

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Civil and Environmental Engineering

Advisor/Chair:

Steven L. Barfuss

Co-Advisor/Chair:

Brian Crookston

Third Advisor:

Alfonso Torres-Rua

Abstract

This research investigated the combination of aerial imagery, photogrammetry, and computational fluid dynamics (CFD). Two 3D models of an 8-ft ramp flume were developed from aerial imagery using a commercial photogrammetry software. The GCP model was developed using ground control points (GCP) to improve and measure the model’s accuracy. The Non-GCP model used GCPs as check points, which only measure the model’s accuracy. The horizontal and vertical errors were, respectively, 0.39 in. and 0.73 in. for the GCP model, and 5.37 in. and 2.80 in. for the Non-GCP model.

In addition to the GCP and Non-GCP models, two hybrid 3D models were also developed for CFD testing. The As-Designed model was developed by replacing the GCP model’s flume with a CAD-modeled version of the flume from the original design. The As-Built model was developed using physically-measured dimensions of the flume.

All four 3D models were numerically modeled at four flowrates: 10.0 cfs, 23.0 cfs, 39.7 cfs, and 50.0 cfs. The differences in water depth at the stilling well ranged between -4% and 8% for the GCP model, -2% and 9% for the Non-GCP model, 0% and 13% for the As-Designed model, and 2% and 8% for the As-Built model. The CFD results indicated that photogrammetry can develop hydraulically-accurate 3D models.

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