New Image Recognition Technique for Intuitive Understanding in Class of the Dynamic Response of High-Rise Buildings

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.

Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement

“…In this context, several IoT-based architectures have been proposed in the literature with various objectives, such as enhancing the reliability and efficiency of data collection processes [ 48 ], analyzing indoor thermal comfort [ 49 ], evaluating energy savings in buildings [ 50 ], studying the influence of transient facades on indoor air quality [ 51 ], and enabling real-time monitoring of energy consumption [ 52 ]. Furthermore, to overcome the high costs associated with commercial monitoring systems [ 53 ], several low-cost methodologies have been suggested. These solutions aim to monitor air quality [ 54 ], monitor the interior temperature [ 55 ], provide energy usage data [ 56 ], conduct destructive thermal monitoring of buildings [ 31 ], obtain the thermal parameters of building envelopes [ 57 ], measure the level of humidity [ 58 ], and monitor other interior and exterior parameters of buildings [ 59 ].…”

Characterizing Bridge Thermal Response for Bridge Load Rating and Condition Assessment: A Parametric Study

“…Bridge vertical deflections, which can be, for example, collected using computer visionbased systems [43] and image recognition techniques [44], are considered as the bridge response. The response of the girders at load scenarios, L A and L B , are given in Figure 11.…”

Experimental Investigation to Evaluate the Dynamic Properties of a Scaled Rectangular Tuned Liquid Damper Using High-Speed Videos

“…The use of nonintrusive methodologies to evaluate the properties of dynamic systems has gained much attention in recent years. For example [21] employed image-recognition techniques to monitor the dynamic response of small-scale structures, [22] used a flow visualization technique and a high-speed camera to estimate air concentration profiles for a series of hydraulic jumps. Other examples of the use of nonintrusive methodologies that include the use of videos recorded with high-speed cameras are those presented by Gardarsson [23].…”