Informational and hybrid-informational modelling of yielding shear panel device

Hossain, Md. Raquibul and Ashraf , Mahmud (2014) Informational and hybrid-informational modelling of yielding shear panel device. KSCE Journal of Civil Engineering, 18 4: 1119-1124. doi:10.1007/s12205-014-0451-0

Author Hossain, Md. Raquibul
Ashraf , Mahmud
Title Informational and hybrid-informational modelling of yielding shear panel device
Journal name KSCE Journal of Civil Engineering   Check publisher's open access policy
ISSN 1976-3808
Publication date 2014-05-01
Year available 2014
Sub-type Article (original research)
DOI 10.1007/s12205-014-0451-0
Open Access Status
Volume 18
Issue 4
Start page 1119
End page 1124
Total pages 6
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Abstract Yielding Shear Panel Device (YSPD) is a recently developed passive control device, which is designed to exploit the shear deformation characteristics of a steel diaphragm plate to dissipate energy when subjected to seismic excitation. Force-displacement response for a wide variety of YSPDs obtained using validated Finite Element (FE) models are used in the current paper to formulate a mathematical model using Neural Network (NN) to facilitate the structural modelling of the device. The proposed NN informational model is able to accurately represent the complex pinching hysteretic response of YSPDs. The concept is further extended to devise a hybrid informational model to utilise the learning ability of a NN model within a mathematical framework. The proposed hybrid model shows good agreement in predicting the force-deformation response of YSPDs in a simplistic manner and should facilitate the full scale modelling of building frames retrofitted with YSPD without the need for complicated and detailed FE modelling of the device.
Keyword Earthquake
Hybrid modelling
Neural network
Passive energy dissipation
Yielding Shear Panel Device (YSPD)
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2015 Collection
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Created: Tue, 27 May 2014, 12:08:59 EST by System User on behalf of School of Civil Engineering