Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Seismic Performance and Analysis · Structural Health Monitoring Techniques · Structural Engineering and Vibration Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, Razi University, Kermanshah 67144-14971, Iran
Young Researchers and Elite Club, Islamic Azad University, Kermanshah Branch, Kermanshah 67189-97551, Iran
Department of Civil Engineering and Energy Technology Civil Engineering, Oslo Metropolitan University, 0167 Oslo, Norway
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