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D. Anderson, E.L. Hines, S.J. Arthur and E.L. Eiap

Department of Engineering, University of Warwick, Coventry, England

doi:10.4203/ccp.16.2.3

D. Anderson, E.L. Hines, S.J. Arthur, E.L. Eiap, "Application of Artificial Neural Networks to Prediction of Minor Axis Steel Connections", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 31-37, 1993. doi:10.4203/ccp.16.2.3

Abstract

In steel frames, it is usually the minor-axis beam-to-column connections that govern restraint to the columns against buckling. There is, however, no generally accepted method to predict the behaviour of such connections. To clarify the response, a series of tests have been performed, in which significant parameters have been systematically varied. The results have been used to train an artificial neural network (ANN) to predict bi-linear moment-rotation characteristics for minor-axis connections. The paper describes the test programme, the choice of ANN and the result for each connection, based on learning from 20 other connections. The results are found to provide approximations to the experimental response that are satisfactory for use in structural engineering design.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 16 NEURAL NETWORKS & COMBINATORIAL OPTIMIZATION IN CIVIL & STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and A.I. Khan Paper II.3 Application of Artificial Neural Networks to Prediction of Minor Axis Steel Connections D. Anderson, E.L. Hines, S.J. Arthur and E.L. Eiap Department of Engineering, University of Warwick, Coventry, England doi:10.4203/ccp.16.2.3 purchase the full-text of this paper Full Bibliographic Reference for this paper D. Anderson, E.L. Hines, S.J. Arthur, E.L. Eiap, "Application of Artificial Neural Networks to Prediction of Minor Axis Steel Connections", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 31-37, 1993. doi:10.4203/ccp.16.2.3 Abstract In steel frames, it is usually the minor-axis beam-to-column connections that govern restraint to the columns against buckling. There is, however, no generally accepted method to predict the behaviour of such connections. To clarify the response, a series of tests have been performed, in which significant parameters have been systematically varied. The results have been used to train an artificial neural network (ANN) to predict bi-linear moment-rotation characteristics for minor-axis connections. The paper describes the test programme, the choice of ANN and the result for each connection, based on learning from 20 other connections. The results are found to provide approximations to the experimental response that are satisfactory for use in structural engineering design. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £34 +P&P)
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