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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 69
COMPUTATIONAL CONCRETE STRUCTURES TECHNOLOGY
Edited by: Z. Bittnar and B.H.V. Topping
Paper VI.4

Optimized Reinforcement Shape Design Around a Cutout Subject to Various Load Conditions

C.H. Ryu+, Y.S. Lee+, M.H. Choi+ and Y.W. Kim#

+Department of Mechanical Design Engineering, Chungnam National University, Taejon, Korea
#Department of Mechanical Engineering, Yosu National University, Chonnam, Korea

Full Bibliographic Reference for this paper
C.H. Ryu, Y.S. Lee, M.H. Choi, Y.W. Kim, "Optimized Reinforcement Shape Design Around a Cutout Subject to Various Load Conditions", in Z. Bittnar, B.H.V. Topping, (Editors), "Computational Concrete Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 153-159, 2000. doi:10.4203/ccp.69.6.4
Abstract
The ESO (Evolutionary Structural Optimization) method was originally developed based on the idea that by systematically removing the inefficient material, the residual shape of the structure evolves toward an optimum. The merit of this method is that we can easily apply it to the commercial finite element analysis code, and the initial mesh distribution is used until approaching an optimization. In this study, when the plate and shell having a cutout are subjected to various load conditions, an optimized cutout shape and reinforcement shape are searched for using the ESO method. ANSYS is used to analyze a finite element model and an optimization procedure is done by the APDL (Ansys Parametric Design Language). To select either an element to delete or an element to remain from the edge elements set, which is posed around the edge of a cutout, a used reference value is the times of the rejection ratio and the average Mises stress of the edge elements set. The rejection ratio and evolutionary ratio are predefined before the optimization procedure. We remove the elements having lower stress than the reference stress, which is the average Mises stress on edge elements times the rejection ratio and the old rejection ratio is evolved by the evolutionary ratio. The ESO method is useful in a cutout shape optimization but is not useful in a reinforcement shape optimization since the stress distribution of an initial model affects the optimized model.

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