Computer vision-based dynamic identification of a reinforced concrete elevated water tank

There is a growing need for monitoring the structural health conditions of aging structures and for prioritizing maintenance works to extend their safe service life. This requires cheap, flexible, and reliable tools suitable for everyday use in engineering practice. This paper presents a computer vi...

Full description

Bibliographic Details
Main Authors: De Santis, S, Sangirardi, M, Altomare, V, Meriggi, P, de Felice, G
Format: Journal article
Language:English
Published: Springer 2024
_version_ 1824459192082104320
author De Santis, S
Sangirardi, M
Altomare, V
Meriggi, P
de Felice, G
author_facet De Santis, S
Sangirardi, M
Altomare, V
Meriggi, P
de Felice, G
author_sort De Santis, S
collection OXFORD
description There is a growing need for monitoring the structural health conditions of aging structures and for prioritizing maintenance works to extend their safe service life. This requires cheap, flexible, and reliable tools suitable for everyday use in engineering practice. This paper presents a computer vision-based technique combining motion magnification and statistical algorithms to calculate structural natural frequencies under environmental noise excitation, and its application to a reinforced concrete elevated water tank. Digital videos were recorded from various standpoints and post-processed by tracking in time either the variation of the grey-intensity or the motion of selected pixels. Computer vision-based outcomes were validated against accelerometric measurements and integrated to them to improve the understanding of the dynamic behaviour of the water tower, which, counterintuitively, resulted anything but trivial to predict.
first_indexed 2025-02-19T04:37:52Z
format Journal article
id oxford-uuid:65b2e0fd-ba83-4bf3-92bb-45337a064804
institution University of Oxford
language English
last_indexed 2025-02-19T04:37:52Z
publishDate 2024
publisher Springer
record_format dspace
spelling oxford-uuid:65b2e0fd-ba83-4bf3-92bb-45337a0648042025-02-05T20:10:09ZComputer vision-based dynamic identification of a reinforced concrete elevated water tankJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:65b2e0fd-ba83-4bf3-92bb-45337a064804EnglishJisc Publications RouterSpringer2024De Santis, SSangirardi, MAltomare, VMeriggi, Pde Felice, GThere is a growing need for monitoring the structural health conditions of aging structures and for prioritizing maintenance works to extend their safe service life. This requires cheap, flexible, and reliable tools suitable for everyday use in engineering practice. This paper presents a computer vision-based technique combining motion magnification and statistical algorithms to calculate structural natural frequencies under environmental noise excitation, and its application to a reinforced concrete elevated water tank. Digital videos were recorded from various standpoints and post-processed by tracking in time either the variation of the grey-intensity or the motion of selected pixels. Computer vision-based outcomes were validated against accelerometric measurements and integrated to them to improve the understanding of the dynamic behaviour of the water tower, which, counterintuitively, resulted anything but trivial to predict.
spellingShingle De Santis, S
Sangirardi, M
Altomare, V
Meriggi, P
de Felice, G
Computer vision-based dynamic identification of a reinforced concrete elevated water tank
title Computer vision-based dynamic identification of a reinforced concrete elevated water tank
title_full Computer vision-based dynamic identification of a reinforced concrete elevated water tank
title_fullStr Computer vision-based dynamic identification of a reinforced concrete elevated water tank
title_full_unstemmed Computer vision-based dynamic identification of a reinforced concrete elevated water tank
title_short Computer vision-based dynamic identification of a reinforced concrete elevated water tank
title_sort computer vision based dynamic identification of a reinforced concrete elevated water tank
work_keys_str_mv AT desantiss computervisionbaseddynamicidentificationofareinforcedconcreteelevatedwatertank
AT sangirardim computervisionbaseddynamicidentificationofareinforcedconcreteelevatedwatertank
AT altomarev computervisionbaseddynamicidentificationofareinforcedconcreteelevatedwatertank
AT meriggip computervisionbaseddynamicidentificationofareinforcedconcreteelevatedwatertank
AT defeliceg computervisionbaseddynamicidentificationofareinforcedconcreteelevatedwatertank