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Z. Waszczyszyn, "Some New Results in Applications of Backpropagation Neural Networks in Structural and Civil Engineering", in B.H.V. Topping, (Editor), "Advances in Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, pp 173-187, 1998. doi:10.4203/ccp.53.4.4

Abstract

Back Propagation Neural Network (BPNN) applications to the analysis of structural and civil engineering problems have been developed at the Cracow University of Technology and TU Rzeszów, Poland. The following problems are shortly discussed: I) hybrid neural-network/finite-element program for the elastoplastic plane stress analysis, 2) prediction of buckling loads for cylindrical shells with manufacturing imperfections, 3) identification of characteristics for semi-rigid steel connections, 4) identification of fracture parameters for dense concretes, 5) prestressing parameters in segmental tendons in cylindrical tanks, 6) detection of damage in simple beams, 7) detection of damage in a multistorey frame, 8) evaluation of response spectra for traffic vibrations.

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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: 53 ADVANCES IN ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping Paper IV.4 Some New Results in Applications of Backpropagation Neural Networks in Structural and Civil Engineering Z. Waszczyszyn Institute of Computer Methods in Civil Engineering, Cracow University of Technology, Poland doi:10.4203/ccp.53.4.4 purchase the full-text of this paper Full Bibliographic Reference for this paper Z. Waszczyszyn, "Some New Results in Applications of Backpropagation Neural Networks in Structural and Civil Engineering", in B.H.V. Topping, (Editor), "Advances in Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, pp 173-187, 1998. doi:10.4203/ccp.53.4.4 Abstract Back Propagation Neural Network (BPNN) applications to the analysis of structural and civil engineering problems have been developed at the Cracow University of Technology and TU Rzeszów, Poland. The following problems are shortly discussed: I) hybrid neural-network/finite-element program for the elastoplastic plane stress analysis, 2) prediction of buckling loads for cylindrical shells with manufacturing imperfections, 3) identification of characteristics for semi-rigid steel connections, 4) identification of fracture parameters for dense concretes, 5) prestressing parameters in segmental tendons in cylindrical tanks, 6) detection of damage in simple beams, 7) detection of damage in a multistorey frame, 8) evaluation of response spectra for traffic vibrations. 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 £75 +P&P)
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