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T.J. McCarthy, N. Zygouris and M.R. Lamb

Department of Civil and Structural Engineering, UMIST, Manchester, UK

doi:10.4203/ccp.35.13.2

T.J. McCarthy, N. Zygouris, M.R. Lamb, "Learning through Computer Assisted Design and Detailing of Reinforced Concrete Beams", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 247-253, 1995. doi:10.4203/ccp.35.13.2

Abstract

This paper describes an intelligent computational advisor for Civil Engineering undergraduate students learning how to design and detail reinforced concrete beams. The approach used by the system is to encourage students to learn by doing i.e. to produce a fully detailed RC beam. The program, LTRCCAL, uses AutoCAD as the graphic engine linked with C and LISP design and checking modules. After presenting URCCAL the paper then discusses the evaluation of the system as an effective computer based learning (CBL) tool. The performance of the program is measured in a logical fashion starting from the fundamentals of human learning employed in it and working towards a more detailed study of LTRCCAL's functions.

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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: 35 DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping Paper XIII.2 Learning through Computer Assisted Design and Detailing of Reinforced Concrete Beams T.J. McCarthy, N. Zygouris and M.R. Lamb Department of Civil and Structural Engineering, UMIST, Manchester, UK doi:10.4203/ccp.35.13.2 purchase the full-text of this paper Full Bibliographic Reference for this paper T.J. McCarthy, N. Zygouris, M.R. Lamb, "Learning through Computer Assisted Design and Detailing of Reinforced Concrete Beams", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 247-253, 1995. doi:10.4203/ccp.35.13.2 Abstract This paper describes an intelligent computational advisor for Civil Engineering undergraduate students learning how to design and detail reinforced concrete beams. The approach used by the system is to encourage students to learn by doing i.e. to produce a fully detailed RC beam. The program, LTRCCAL, uses AutoCAD as the graphic engine linked with C and LISP design and checking modules. After presenting URCCAL the paper then discusses the evaluation of the system as an effective computer based learning (CBL) tool. The performance of the program is measured in a logical fashion starting from the fundamentals of human learning employed in it and working towards a more detailed study of LTRCCAL's functions. 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 £65 +P&P)
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