PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SADDLE-LIKE CONNECTIONS USING FEM AND BP NEURAL NETWORKS

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KAVEH A.; SERVATI H.; FAZEL DEHKORDI D.

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Journal Paper

Paper Information

Journal: ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING) Year:2001 | Volume:2 | Issue:1 Page(s): 11-29

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Title

PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SADDLE-LIKE CONNECTIONS USING FEM AND BP NEURAL NETWORKS

Author(s)

KAVEH A. | SERVATI H. | FAZEL DEHKORDI D. | Issue Writer Certificate

Keywords

NEURAL NETWORK

BACKPROPAGATION

SADDLE-LIKE CONNECTION

STEEL STRUCTURES

SEMI RIGID JOINT

FINITE ELEMENT

MOMENT-ROTATION

Abstract

FINITE ELEMENT models are suggested for the analysis of a special type of semi-rigid connections of frame structures, generally known as SADDLE-LIKE CONNECTIONs. The performance of these models is verified through the available experimental results. Non-linear FINITE ELEMENT analysis is performed for a total number of 138 connections, and M-fdiagrams are obtained. Each diagram is represented by a multi-linear relationship through seven points. A NEURAL NETWORK is trained for the prediction of M-f diagrams for SADDLE-LIKE CONNECTIONs. The results obtained by the trained back propagation NEURAL NETWORK are found to be quite satisfactory compared to those of the FINITE ELEMENT analysis. The computational time for such a prediction is of the order of one second compared to approximately 12 hours for a complete non-linear FINITE ELEMENT analysis.

Cites

SELF-ORGANIZING BACK PROPAGATION NETWORKS FOR PREDICTING THE MOMENT-ROTATION BEHAVIOR OF BOLTED CONNECTIONS

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APA: Copy

KAVEH, A., SERVATI, H., & FAZEL DEHKORDI, D.. (2001). PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SADDLE-LIKE CONNECTIONS USING FEM AND BP NEURAL NETWORKS. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 2(1), 11-29. SID. https://sid.ir/paper/298567/en

Vancouver: Copy

KAVEH A., SERVATI H., FAZEL DEHKORDI D.. PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SADDLE-LIKE CONNECTIONS USING FEM AND BP NEURAL NETWORKS. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2001;2(1):11-29. Available from: https://sid.ir/paper/298567/en

IEEE: Copy

A. KAVEH, H. SERVATI, and D. FAZEL DEHKORDI, “PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SADDLE-LIKE CONNECTIONS USING FEM AND BP NEURAL NETWORKS,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 2, no. 1, pp. 11–29, 2001, [Online]. Available: https://sid.ir/paper/298567/en

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