Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation

Abstract

Purpose

Part of the runway at Madeira Airport is a platform above the sea at a 60 m height, supported by a series of frames. When aircraft land on this section, a load is exerted on the structure, resulting in bending of the beams which constitute the frames. A vision-based monitoring system was devised and implemented to measure the deflection of the runway's beams when a landing occurs.

Design/methodology/approach

An area on the midspan of two beams, located on the area where aircraft are most likely to land, was prepared with a speckle pattern, and a camera was assembled above a column on each of the adjacent frames, enabling the computation of displacements using digital image correlation (DIC). The camera continuously acquires images of the monitored area and compares them to a reference using DIC. If a displacement is detected, a number of frames before and after this event are saved for further DIC processing.

Findings

The installed systems successfully detected several events corresponding to landings and, for each of those events, measured the deflection of the beams over time and computed displacement fields for critical images, with strain values obtained up to this point being too small to measure using the current system.

Originality/value

This work provides novel insights into the behaviour of a unique structure and constitutes the first use of a vision system in its structural monitoring operations. It is also a valuable development in the implementation of automated DIC monitoring systems in locations of difficult access.

Citation

Barros, F., Aguiar, S., Sousa, P.J., Cachaço, A., Ramos, N.V., Tavares, P., Moreira, P.M.G., Oliveira Santos, L., Xu, M. and Franco, E. (2023), "Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation", International Journal of Structural Integrity, Vol. 14 No. 1, pp. 103-115. https://doi.org/10.1108/IJSI-03-2022-0049