Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network

Autor: Amirhosein Shabani, Mohammad Mahdi Roshani, Mohammad Javad Moradi, Mahdi Kioumarsi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Finite element methods
Materials science
steel shear wall
Openings
Structural system
finite element method
020101 civil engineering
02 engineering and technology
lcsh:Technology
0201 civil engineering
lcsh:Chemistry
Radial basis functions
0202 electrical engineering
electronic engineering
information engineering
medicine
Shear wall
General Materials Science
Radial basis function
lcsh:QH301-705.5
Instrumentation
Network model
Fluid Flow and Transfer Processes
Artificial neural network
Artificial neural networks
lcsh:T
business.industry
Process Chemistry and Technology
General Engineering
Stiffness
opening
Structural engineering
Steel shear walls
lcsh:QC1-999
Finite element method
Computer Science Applications
Steel plate shear wall
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
020201 artificial intelligence & image processing
medicine.symptom
lcsh:Engineering (General). Civil engineering (General)
business
radial basis function
lcsh:Physics
artificial neural network
Zdroj: Applied Sciences
Volume 10
Issue 3
Applied Sciences, Vol 10, Iss 3, p 1185 (2020)
Popis: As a lateral load-bearing system, the steel plate shear wall (SPSW) is utilized in different structural systems that are susceptible to seismic risk and because of functional reasons SPSWs may need openings. In this research, the effects of rectangular openings on the lateral load-bearing behavior of the steel shear walls by the finite element method (FEM) is investigated. The results of the FEM are used for the prediction of SPSW behavior using the artificial neural network (ANN). The radial basis function (RBF) network is used to model the effects of the rectangular opening in the SPSW with different plate thicknesses. The results showed that the opening leads to reduced load-bearing capacity, stiffness and absorbed energy, which can be precisely predicted by employing RBF network model. Besides, the suitable relative area of the opening is determined.
Databáze: OpenAIRE
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