Technical Papers
Nov 27, 2020

Rapid Estimation Method for Vertical Deflection Measurement of Building Components Based on Image Processing Techniques

Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 1

Abstract

Deflection and displacement in building components such as beams and roofs occur under imposed loads or element weight during constructing or operation of buildings, and should be less than allowable values. The detection and measurement of deflection predominantly are conducted based on visual inspection, which is known to be time-consuming, costly, and error-prone. The authors used image processing techniques to detect the location of maximum deflection and measure its value. The perspective of color images was eliminated, and then they were preprocessed using spatial domain filters. Afterward, image segmentation, in combination with nonlinear regression, was used to calculate the equation of the deflection curve of an element. Finally, the location and amount of maximum deflection were determined by calculating the derivative of the deflection curve. The proposed method was validated through two experiments. The method estimated the amount of maximum deflection with high accuracy—the relative errors of the two tests were 6.6% and 0.2%.

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Data Availability Statement

All data, models, and codes that support the findings of this study are available from the corresponding author upon reasonable request.

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Information & Authors

Information

Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 35Issue 1February 2021

History

Received: May 5, 2020
Accepted: Aug 28, 2020
Published online: Nov 27, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 27, 2021

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Authors

Affiliations

Seyyed Hamed Farhang [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Semnan Univ., Semnan 19111-35131, Iran. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Semnan Univ., Semnan 19111-35131, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-4753-7775. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Semnan Univ., Semnan 19111-35131, Iran. ORCID: https://orcid.org/0000-0001-6106-1235. Email: [email protected]
Alireza Ahmadyfard [email protected]
Associate Professor, Dept. of Electronic Engineering and Robotic, Shahrood Univ. of Technology, Shahrood 3619995161, Iran. Email: [email protected]

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