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Research Article

Behavior factor prediction equations for reinforced concrete frames under critical mainshock-aftershock sequences using artificial neural networks

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Pages 552-567 | Received 27 May 2021, Accepted 13 Aug 2021, Published online: 05 Sep 2021
 

ABSTRACT

This paper proposes the ductility demands control of reinforced concrete frames under criticalsuccessive earthquakes using evaluation of behavior factors (R factors). The influence of RC frameperiods, PGA and magnitude of mainshocks and aftershocks is also taken into account by 10 training ideal artificial neural network (ANN) and proposing the empirical equations. Firstly, 2D RC frames are implemented in Opensees and then evaluated under as-recorded critical single and successive scenario. R factors are calculated and compared for single and successive cases. It is found that the sequences of critical records decrease R factors and capacity of RC frames about 18% and 30%, respectively. Despite what is necessitated in the seismic design codes, proposing a constant value as R factor for whole RC structure especially under single scenarios cannot lead to proper design of structures. Hence, the idealized multilayer ANNs employed to generate the empirical charts for evaluation of R factors.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Elham Rajabi

Elham Rajabi is an Assistant Professor and holds a PhD in Earthquake Engineering.

Gholamreza Ghodrati Amiri

Gholamreza Ghodrati Amiri is a Professor and holds a PhD in Structural and Earthquake Engineering.

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