Earthquake early warning and response system based on intelligent seismic and monitoring sensors embedded in a communication platform and coupled with BIM models

  • This paper describes the concept of an innovative, interdisciplinary, user-oriented earthquake warning and rapid response system coupled with a structural health monitoring system (SHM), capable to detect structural damages in real time. The novel system is based on interconnected decentralized seismic and structural health monitoring sensors. It is developed and will be exemplarily applied on critical infrastructures in Lower Rhine Region, in particular on a road bridge and within a chemical industrial facility. A communication network is responsible to exchange information between sensors and forward warnings and status reports about infrastructures’health condition to the concerned recipients (e.g., facility operators, local authorities). Safety measures such as emergency shutdowns are activated to mitigate structural damages and damage propagation. Local monitoring systems of the infrastructures are integrated in BIM models. The visualization of sensor data and the graphic representation of the detected damages provide spatial content to sensors data and serve as a useful and effective tool for the decision-making processes after an earthquake in the region under consideration.

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Metadaten
Author:Georgios Balaskas, Benno Hoffmeister, Christoph ButenwegORCiD, Marco Pilz, Anna Bauer
DOI:https://doi.org/10.7712/120121.8539.18855
ISBN:978-618-85072-5-8
ISSN:2623-3347
Parent Title (English):8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
Publisher:National Technical University of Athens
Place of publication:Athen
Editor:Manolis Papadrakakis, Michalis Fragiadakis
Document Type:Conference Proceeding
Language:English
Year of Completion:2021
Date of the Publication (Server):2023/01/31
Tag:early warning and response system; integration SHM in BIM; interconnected sensor systems; seismic structural damage detection via SHM
Length:12 Seiten
First Page:987
Last Page:998
Note:
COMPDYN 2021
28-30 June 2021, Streamed from Athens, Greece
Link:https://www.eccomasproceedia.org/conferences/thematic-conferences/compdyn-2021/8539
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Energietechnik
collections:Verlag / National Technical University of Athens
Open Access / Bronze