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A hysteretic model for steel plate shear walls

A hysteretic model for steel plate shear walls

Faramarzi, Asaad, Mehravar, Moura, Veladi, Hedayat, Javadi, Akbar A., Ahangar-Asr, Alireza and Mehravar, Maziar (2011) A hysteretic model for steel plate shear walls. In: Proceedings of the 19th UK National Conference of the Association for Computational Mechanics in Engineering. Heriot-Watt University, Edinburgh, Scotland, UK, pp. 69-72. ISBN 9780956595119

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Abstract

In the past few decades, steel plate shear walls (SPSW) have been used in numerous tall buildings as a resistant system against lateral loads. The perceived advantages of these systems in seismic resistant structures include enhanced stiffness, strength and ductility, and stable hysteretic characteristics. Various researchers have studied the behaviour of SPSW under cyclic loading and proposed different models in order to predict the behaviour of these structures under complex loading conditions. In this paper a new approach based on evolutionary polynomial regression (EPR) is proposed, for the prediction of the behaviour of SPSW under cyclic loading using data from laboratory tests on scaled samples of SPSW. It is shown that the EPR model is able to predict the behaviour of SPSW under cyclic loading.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 19th UK National Conference of the Association for Computational Mechanics in Engineering
Additional Information: [1] This paper was first presented in the Geomechanics / Material Modelling Section of the 19th UK National Conference of the Association for Computational Mechanics in Engineering (ACME2011) held from 5-6 April 2011 at Heriot-Watt University in Edinburgh, Scotland, UK.
Uncontrolled Keywords: steel plate shear walls, cyclic loading, EPR
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TP Chemical technology
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Civil Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:26
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/11130

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