A fuzzy logic approach to predict seismic ductility and shear strength of reinforced concrete elements
| Autor: | Abdelsamie Elmenshawi, Nigel ShriveN. Shrive, Tom BrownT. Brown |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Earthquake engineering Beam diameter business.industry Structural engineering Reinforced concrete Fuzzy logic Physics::Geophysics Seismic analysis Compressive strength Shear (geology) Geotechnical engineering business Reinforcement General Environmental Science Civil and Structural Engineering |
| Zdroj: | Canadian Journal of Civil Engineering. 37:1232-1246 |
| ISSN: | 1208-6029 0315-1468 |
| DOI: | 10.1139/l10-052 |
| Popis: | Structures require ductility to withstand severe earthquake-induced loads and remain standing. A new method for modelling seismic displacement ductility is proposed here, in which a fuzzy inference system is utilized to include the uncertainty in the parameters that influence this behaviour. The proposed model is also used to determine the lateral shear strength, a vital parameter in seismic design. Experimental data are presented for beams subjected to cyclic loading. Numerous input design parameters were considered including the beam width/depth ratio, the longitudinal reinforcement ratio, the bottom/top reinforcement ratio, the concrete compressive strength, the transverse reinforcement strength, and the shear span-to-depth ratio. Output parameters included the displacement ductility and lateral shear strength. The proposed model can predict the outputs successfully with an error of ±20%, but is more effective in predicting shear strength than displacement ductility. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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