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The Rearch of Stress Route for Concrete Structure using Advanced Progressive Optimization

개선된 점진적 구조 최적화 기법을 이용한 콘크리트 구조물의 응력경로 탐색

  • Received : 2011.08.03
  • Accepted : 2011.11.16
  • Published : 2011.11.30

Abstract

This research describe improved algorithm that is able to decide terminal criterion of Evolutionary Structural Optimization (ESO), reducing load of calculation to search load path of concrete beam, and apply to agricultural facilities. The ESO method is that make to discrete structure, structural analyze each element stress through FEM. And repeat generation with next material condition to become for most suitable composing. Individual element introduces concept of zero stiffness, but zero stiffness decisions are gone to direction of exclusion. In this stduy, improve algorithm to be convergence by 'Rule of Alive or Die' in arrival because is most suitable. Also, existing terminal criterion lack consistency because that used depend on experience of researcher. This research procedure is fellowed. First, all modulus of elasticity assume a half of elasticity modulus of material, Second, structural analysis by FEM, Third, apply to the remove ratio and restoration ratio for the 'rule of alive or die'. Forth, reconstruct the element and material conditions. And repeat the first to forth process. The terminal time of evolutional procedure is the all elastic modulus of element changed to blank value or elasticity modulus value of original. Therefore, in this study, consist the algorithm for programming, and apply to the agricultural facilities with concrete.

Keywords

References

  1. Bendsoe, M. P., Noboru Kikuchi, 1988, Generating optimal topologies in structural design using a homogenization method, Computer Methods in Applied Mechanics and Engineering, 71(2): 197-224. https://doi.org/10.1016/0045-7825(88)90086-2
  2. Choi, B. H., 2004, A Study on the Techniques of Configuration Optimization, Korean Society of Steel Construction, 16(6): 819-832.
  3. Choi, C. K., Lee, J. H., Lee, T. Y., 2002, Evolutionary Structural Optimiztion Using Modified Algorithm. Korean Society of Civil Engineers, 22(4): 687-990.
  4. Choi, K. S., Han, S. Y., 1999, Development of Improved Element Reduction Method for Topology Structural Optimization, Transactions of Korea Society of Automotive Engineers, 7(4): 260-267.
  5. Lee, H. W., 2008, Direction Vector for Efficient Structurel Optimization with Genetic Algorithm, Journal of the Korea Association for Spatial Structures, 8(3): 75-82.
  6. Pyeon, H. W., Ohmori H., Jeong, S. H., Kang, M. M., 2003, A Study on Structural Topology Optimization by Evolutionary Structural Optimization (ESO) Method-with priority given to the improvement of evolution speed, Transactions of the Korean Society of Mechanical Engineers, 19(8): 75-82.
  7. Son, K. S., 2007, 3-Dimensional Strut-Tie Model Analysis of Pile Caps Using Evolutionary Structural Optimization, Kyeongbuk National University Graduate School Thesis of Master.
  8. Steven, G. P., Xie, Y. M. 1993, Evolutionary structural Optimization with FEA, Computational Mechanics, pp. 23-34.
  9. Yoon, S. S., Lee, J. J., 2002, A Study on the Reinforcement of Reinforced Concrete using Evolutionary Structural Optimization. Journal of the Korean Society of Agricultural Engineers, 44(2): 127-135.
  10. Zhao, C., Hornby, P., Steven, G. P., 1998, A generalized evolutionary method for numerical topology optimization of structures under static loading conditions, Struct. Optim, 15(3/4): 251-260. https://doi.org/10.1007/BF01203540

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