作者: I. Mansouri , M. Shariati , M. Safa , Z. Ibrahim , M. M. Tahir
DOI: 10.1007/S10845-017-1306-6
关键词: Structural engineering 、 Adaptive neuro fuzzy inference system 、 Engineering 、 Parametric statistics 、 Finite element method 、 Ductility 、 Shear (sheet metal) 、 Shear strength 、 Compressive strength 、 Cable gland
摘要: The V-shaped angle shear connector is recognized as to expand certain mechanical properties the connectors, contains adequate ductility, elevate resistance, power degradation resistance under cyclic charging, and high shear transmission, more economical than other for instance, the L-shaped C-shaped connectors. performance of this had been investigated by previous researchers (Shariati et al. in Mater Struct 49(9):1–18, 2015), but strength prediction was not clearly explained. In investigation, analyzed based on several factors. ultimate purpose investigate variations different factors that were affecting the strength connector. To achieve aim, data (concrete compression strength, thickness, length, height, slope inclination, shear strength) collected from parametric studies using finite element analysis results purpose input ANFIS method (neuro-fuzzy inference system). analysis results verified experimental test results. All variables predominant affected shear strength (V-shaped angle) also selected the ANFIS process. exhibited proposed (V-shaped angle) contained potentiality be used practically after improvements. One option might improvement testing process predictive models with will improve predictive the created models.