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M.P. Saka*, A. Daloglu# and F. Malhas**

*Department of Civil Engineering, University of Bahrain, Bahrain
#Department of Civil Engineering, Blacksen University, Trabzon, Turkey
**Department of Civil Engineering, Bradley University, Peoria, United States of America

doi:10.4203/ccp.50.9.4

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M.P. Saka, A. Daloglu, F. Malhas, "Optimum Spacing Design of Grillage Systems using Genetic Algorithm", in B.H.V. Topping, M.B. Leeming, (Editors), "Innovation in Computer Methods for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 137-148, 1997. doi:10.4203/ccp.50.9.4

Abstract

In this study genetic algorithm based method is developed for the optimum design of grillage systems. The algorithm does not only select the optimum sections for grillage elements from a set of standard universal beam sections, but also finds the optimum spacing required for the grillage system. The deflection limitations and allowable stress constraints are considered in the formulation of the design problem. Due to the fact that grillage elements are thin walled sections, warping plays an important role in their design particularly when they are subjected to significant torsional loading. The algorithm developed has the flexibility of including or excluding the effect of warping in the design process. Number of grillage structures are designed for uniformly distributed loading. The optimum spacing are determined for both considering and not taking into account the effect of warping in the design. The comparison of the results shows that inclusion of warping in the design process has a significant effect on the optimum spacing.

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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: 50 INNOVATION IN COMPUTER METHODS FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and M.B. Leeming Paper IX.4 Optimum Spacing Design of Grillage Systems using Genetic Algorithm M.P. Saka, A. Daloglu# and F. Malhas* Department of Civil Engineering, University of Bahrain, Bahrain #Department of Civil Engineering, Blacksen University, Trabzon, Turkey *Department of Civil Engineering, Bradley University, Peoria, United States of America doi:10.4203/ccp.50.9.4 purchase the full-text of this paper Full Bibliographic Reference for this paper M.P. Saka, A. Daloglu, F. Malhas, "Optimum Spacing Design of Grillage Systems using Genetic Algorithm", in B.H.V. Topping, M.B. Leeming, (Editors), "Innovation in Computer Methods for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 137-148, 1997. doi:10.4203/ccp.50.9.4 Abstract In this study genetic algorithm based method is developed for the optimum design of grillage systems. The algorithm does not only select the optimum sections for grillage elements from a set of standard universal beam sections, but also finds the optimum spacing required for the grillage system. The deflection limitations and allowable stress constraints are considered in the formulation of the design problem. Due to the fact that grillage elements are thin walled sections, warping plays an important role in their design particularly when they are subjected to significant torsional loading. The algorithm developed has the flexibility of including or excluding the effect of warping in the design process. Number of grillage structures are designed for uniformly distributed loading. The optimum spacing are determined for both considering and not taking into account the effect of warping in the design. The comparison of the results shows that inclusion of warping in the design process has a significant effect on the optimum spacing. 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 £52 +P&P)
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