Computational & Technology Resources
an online resource for computational,
engineering & technology publications |
|
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
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.
purchase the full-text of this paper (price £20)
go to the previous paper |
|