@inproceedings{20201308355086 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2025 Elsevier Inc.},
copyright = {Compendex},
title = {System identification of concordia university EV building by operational modal analysis},
journal = {Proceedings of 30th International Conference on Adaptive Structures and Technologies, ICAST 2019},
author = {Bagchi, Saikat and Sabamehr, Ardalan and Roy, Timir Baran and Bagchi, Ashutosh},
year = {2019},
pages = {127 - 128},
address = {Montreal, QC, Canada},
abstract = {Identification of the behavior of structural system and the monitoring of its structural health is essential for any smart and sustainable city. Montreal being one of the premier urban destinations situated at one of the extreme locations on earth, calls for such facilities to have installed for its important structural systems to obtain real-time information about the state of functionality of the structure. In this study, the EV Building of Concordia University (SGW Campus, Montreal, Canada) is studied using Operational Modal Analysis to comprehend the behavior of its two sub-systems. Frequency Domain Decomposition (FDD) technique is employed to extract the modal information.<br/> © copyright Environment and Climate Change Canada.},
key = {Real time systems},
%keywords = {Frequency domain analysis;Modal analysis;Domain decomposition methods;Structural health monitoring;},
%note = {Concordia University;Frequency domain decomposition;Montreal , Canada;Operational modal analysis;Real-time information;Structural health;Structural systems;Sustainable cities;},
}

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