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System identification of tunnel response to ground motion considering a simplified model

System identification of tunnel response to ground motion considering a simplified model

Alonso-Rodriguez, Andres, Nikitas, Nikolaos, Knappett, Jonathan, Kampas, Georgios, Anastasopoulos, Ioannis and Fuentes, Raul (2018) System identification of tunnel response to ground motion considering a simplified model. Frontiers in Built Environment, 4:39. pp. 1-11. ISSN 2297-3362 (Online) (doi:https://doi.org/10.3389/fbuil.2018.00039)

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Abstract

This paper presents a simplified model using coupled Bernoulli and shear beams supported by Winkler-type springs for system identification of tunnels subjected to earthquake-induced ground motions. The model formulation is introduced and closed-form solutions to the modal characteristic equation and mode shapes are derived. The latter are verified against the results of numerical models. Then, the system identification algorithm is presented, showcasing its ability to recover model parameters when recorded acceleration time histories along the tunnel are compromised by noise and sensor locations are varied. The presented framework can be used to initially and, simply, recover tunnel response when monitoring data is available, or to plan for monitoring campaigns in newly constructed or existing tunnels.

Item Type: Article
Additional Information: Copyright © 2018 Alonso-Rodriguez, Nikitas, Knappett, Kampas, Anastasopoulos and Fuentes. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords: system identification, simplified models, tunnel seismic response, closed-form solutions, structural monitoring
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Centre for Innovative & Smart Infrastructure
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 14 Aug 2018 14:43
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/21065

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