The seismic response of multiple base-isolated structures is here evaluated through both iterative linearization and numerical solution of the nonlinear structure subjected to stochastic dynamic excitation with the purpose of predicting the behavior of a monitored system. An analytical procedure is used to determine the second-order response statistics of a simple model composed by linear superstructures posed on a common nonlinear base isolation system. The seismic excitation is modeled as a zero-mean filtered white noise and combined with the system equation of motion in an augmented state space representation. Different levels of seismic magnitudes are investigated, and preliminary results are presented here. The study furnishes insights for the design of a permanent seismic monitoring system of the four parts composing the building superstructure of the Department of Human Science at University of L'Aquila laying on a common base isolation system.

Seismic Response Prediction of Multiple Base-Isolated Structures for Monitoring / Potenza, F.; Gattulli, V.; Nagarajaiah, S.. - (2020), pp. 33-41. (Intervento presentato al convegno Nodycon 2019 tenutosi a Roma) [10.1007/978-3-030-34747-5_4].

Seismic Response Prediction of Multiple Base-Isolated Structures for Monitoring

Gattulli V.;
2020

Abstract

The seismic response of multiple base-isolated structures is here evaluated through both iterative linearization and numerical solution of the nonlinear structure subjected to stochastic dynamic excitation with the purpose of predicting the behavior of a monitored system. An analytical procedure is used to determine the second-order response statistics of a simple model composed by linear superstructures posed on a common nonlinear base isolation system. The seismic excitation is modeled as a zero-mean filtered white noise and combined with the system equation of motion in an augmented state space representation. Different levels of seismic magnitudes are investigated, and preliminary results are presented here. The study furnishes insights for the design of a permanent seismic monitoring system of the four parts composing the building superstructure of the Department of Human Science at University of L'Aquila laying on a common base isolation system.
2020
Nodycon 2019
Monitoring design; Performance-based optimization; Stochastic dynamic loading
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Seismic Response Prediction of Multiple Base-Isolated Structures for Monitoring / Potenza, F.; Gattulli, V.; Nagarajaiah, S.. - (2020), pp. 33-41. (Intervento presentato al convegno Nodycon 2019 tenutosi a Roma) [10.1007/978-3-030-34747-5_4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1621320
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