Nonlinear modelling and seismic behaviour of precast concrete structures with steel shear walls
Item
Title (Dublin Core)
en-US
Nonlinear modelling and seismic behaviour of precast concrete structures with steel shear walls
Description (Dublin Core)
en-US
A new structural system consisting of precast concrete frames and steel shear walls (SSW's) is introduced and studied numerically in this paper. Two different models, first using ''exact'' FEM and second using approximate equivalent strip model (ESM), are utilized for analysis of such a system with nonlinear static (pushover) procedure. In the FEM model use is made of shell elements while the ESM benefits from simple links that replace the wall panels in the model and are oriented such that they work in tension. Because of good agreement observed between the results of the models in smaller structures, for taller buildings only the ESM approach is followed where computationally applying the FEM approach is impractical. The lateral behaviour of the systems under consideration is investigated with regard to parameters such as number of stories and beam-column connection type. As a result, the ductility, overstrength and response modification factors are calculated for this new structural system as quantities required for their practical design.
Creator (Dublin Core)
Behnamfar, Farhad
Artoonian, Rafeek
Ghandil, Mehdi
Publisher (Dublin Core)
en-US
New Zealand Society for Earthquake Engineering
Date (Dublin Core)
2016-12-31
Type (Dublin Core)
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
en-US
Article
Format (Dublin Core)
application/pdf
Identifier (Dublin Core)
https://bulletin.nzsee.org.nz/index.php/bnzsee/article/view/94
10.5459/bnzsee.49.4.293-304
Source (Dublin Core)
en-US
Bulletin of the New Zealand Society for Earthquake Engineering; Vol 49 No 4 (2016); 293-304
2324-1543
1174-9857
Language (Dublin Core)
eng
Relation (Dublin Core)
https://bulletin.nzsee.org.nz/index.php/bnzsee/article/view/94/80
Rights (Dublin Core)
en-US
Copyright (c) 2016 Farhad Behnamfar, Rafeek Artoonian, Mehdi Ghandil
en-US
https://creativecommons.org/licenses/by/4.0



