New image recognition technique for intuitive understanding in class of the dynamic response of high-rise buildings
Author
Publication date
2021ISSN
2071-1050
Abstract
In the last years, more and more studies have highlighted the advantages of complementing traditional master classes with additional activities that improve students’ learning experience. This combination of teaching techniques is specially advised in the field of structural engineering, where intuition of the structural response it is of vital importance to understand the studied concepts. This paper deals with the introduction of a new (and more encouraging) educational tool to introduce students intuitively to the dynamic response of structures excited with an educational shaking table. Most of the educational structural health monitoring systems use sensors to determine the dynamic response of the structure. The proposed tool is based on a radically different approach, as it is based on low-cost image-recognition techniques. In fact, it only requires the use of an amateur camera, a black background, and a computer. In this study, the effects of both the camera location and the image quality are also evaluated. Finally, to validate the applicability of the proposed methodology, the dynamic response of small-scale buildings with different typologies is analyzed. In addition, a series of surveys were conducted in order to evaluate the activity based on student´s satisfaction and the actual acquisition and strengthening of knowledge.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
5 - Natural Sciences
Keywords
Pages
21
Publisher
MDPI
Collection
13
Is part of
Sustainability
Citation
Porras Soriano, Rocío; Mobaraki, Behnam; Lozano Galant, José Antonio [et al.]. New image recognition technique for intuitive understanding in class of the dynamic response of high-rise buildings. Sustainability, 2021, 13(7), 3695. Disponible en: <https://www.mdpi.com/2071-1050/13/7/3695>. Fecha de acceso: 30 jun. 2025. DOI: 10.3390/su13073695
Note
The authors are indebted to the Spanish Ministry of Economy and Competitiveness for the funding provided through the research projects BIA2017-86811-C2-1-R, and BIA2017-86811-C2-2-R founded with FEDER funds. It is also to be noted that funding for this research has been provided to B.M. by the Spanish Ministry of Economy and Competitiveness through its program for his Ph.D. (through the grant number 2018-COB-9092).
This item appears in the following Collection(s)
- Ciències Bàsiques [94]
Rights
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/

