RETRACTED ARTICLE: Analysis of influential factors forpredicting the shear strength of a V-shaped angle shear connector in composite beamsusing an adaptive neuro-fuzzy technique

作者: I. Mansouri , M. Shariati , M. Safa , Z. Ibrahim , M. M. Tahir

DOI: 10.1007/S10845-017-1306-6

关键词: Structural engineeringAdaptive neuro fuzzy inference systemEngineeringParametric statisticsFinite element methodDuctilityShear (sheet metal)Shear strengthCompressive strengthCable 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.

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