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Application of ANFIS technique on performance of C and L shaped angle shear connectors
Sedghi, Yadollah,Zandi, Yousef,Shariati, Mahdi,Ahmadi, Ebrahim,Azar, Vahid Moghimi,Toghroli, Ali,Safa, Maryam,Mohamad, Edy Tonnizam,Khorami, Majid,Wakil, Karzan Techno-Press 2018 Smart Structures and Systems, An International Jou Vol.22 No.3
The behavior of concrete slabs in composite beam with C and L shaped angle shear connectors has been studied in this paper. These two types of angle shear connectors' instalment have been commonly utilized. In this study, the finite element (FE) analysis and soft computing method have been used both to present the shear connectors' push out tests and providing data results used later in soft computing method. The current study has been performed to present the aforementioned shear connectors' behavior based on the variable factors aiming the study of diverse factors' effects on C and L shaped angle in shear connectors. ANFIS (Adaptive Neuro Fuzzy Inference System), has been manipulated in providing the effective parameters in shear strength forecasting by providing input-data comprising: height, length, thickness of shear connectors together with concrete strength and the respective slip of shear connectors. ANFIS has been also used to identify the predominant parameters influencing the shear strength forecast in C and L formed angle shear connectors.
Application of ANFIS technique on performance of C and L shaped angle shear connectors
Yadollah Sedghi,Yousef Zandi,Mahdi Shariati,Ebrahim Ahmadi,Vahid Moghimi Azar,Ali Toghroli,Maryam Safa,Edy Tonnizam Mohamad,Majid Khorami,Karzan Wakil 국제구조공학회 2018 Smart Structures and Systems, An International Jou Vol.22 No.3
The behavior of concrete slabs in composite beam with C and L shaped angle shear connectors has been studied in this paper. These two types of angle shear connectors' instalment have been commonly utilized. In this study, the finite element (FE) analysis and soft computing method have been used both to present the shear connectors' push out tests and providing data results used later in soft computing method. The current study has been performed to present the aforementioned shear connectors' behavior based on the variable factors aiming the study of diverse factors' effects on C and L shaped angle in shear connectors. ANFIS (Adaptive Neuro Fuzzy Inference System), has been manipulated in providing the effective parameters in shear strength forecasting by providing input-data comprising: height, length, thickness of shear connectors together with concrete strength and the respective slip of shear connectors. ANFIS has been also used to identify the predominant parameters influencing the shear strength forecast in C and L formed angle shear connectors.