Journal of Ocean Engineering and Technology (한국해양공학회지)

Korean Society of Ocean Engineers (한국해양공학회)
권호 표지
DOI QR코드

DOI QR Code

Optimum Design of Truss on Sizing and Shape with Natural Frequency Constraints and Harmony Search Algorithm

하모니 서치 알고리즘과 고유진동수 제약조건에 의한 트러스의 단면과 형상 최적설계

  • Kim, Bong-Ik (Department of Ocean Civil Engineering. Gyeongsang National University) ;
  • Kown, Jung-Hyun (Department of Ocean Civil Engineering. Gyeongsang National University)
  • 김봉익 (경상대학교 해양토목공학과) ;
  • 권중현 (경상대학교 해양토목공학과)
  • Received : 2013.06.21
  • Accepted : 2013.10.10
  • Published : 2013.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

We present the optimum design for the cross-sectional(sizing) and shape optimization of truss structures with natural frequency constraints. The optimum design method used in this paper employs continuous design variables and the Harmony Search Algorithm(HSA). HSA is a meta-heuristic search method for global optimization problems. In this paper, HSA uses the method of random number selection in an update process, along with penalty parameters, to construct the initial harmony memory in order to improve the fitness in the initial and update processes. In examples, 10-bar and 72-bar trusses are optimized for sizing, and 37-bar bridge type truss and 52-bar(like dome) for sizing and shape. Four typical truss optimization examples are employed to demonstrate the availability of HSA for finding the minimum weight optimum truss with multiple natural frequency constraints.

Keywords

References

  1. Erdal, F., Dogan, E., Saka, M.P., 2011. Optimum Design of Cellular Beams using harmony Search and Partical Warm Optimizer. Journal of Constructional Steel Research, 67, 237-247. https://doi.org/10.1016/j.jcsr.2010.07.014
  2. Gomes, H.M., 2011. Truss Optimization with Dynamic Constraints using Partical Swarm Algorithm. Expert System with Application, 38, 957-968. https://doi.org/10.1016/j.eswa.2010.07.086
  3. Kaveh, A., Zolghadr, A., 2012. Truss Optimization with Natural Frequency Constraints using Hybridized CSS-BBBC Algorithm with Trap Recognition Capability. Computer & Structures, 102-103, 14-27. https://doi.org/10.1016/j.compstruc.2012.03.016
  4. Kim, B.I., 2012. Optimum Design of Steel Structures Using Genetic Algorithms. Journal of Korean Society of Steel Construction, KSSC, 24(6), 701-710 . https://doi.org/10.7781/kjoss.2012.24.6.701
  5. Lee, K.S., Geem, Z.W., 2004. A New Structural Optimization Method Based on the Harmony Search Algorithm. Computer & Structures, 82, 781-798. https://doi.org/10.1016/j.compstruc.2004.01.002
  6. Lingyun, W., Mei, Z., Guangming, W., Guang, M., 2005. Truss Optimization on Shape and Sizing with Frequency Constraints Based on Genetic Algorithm. Computer Mechanics, 35, 361-368. https://doi.org/10.1007/s00466-004-0623-8
  7. Park, C.W., Kang, M.M., Yun, Y.M., 2005. Unified Section and Shape Discrete Optimum Design of Planar Improved Fuzzy Genetic Algorithms. Journal of Korean Society of Steel Construction, KSSC, 1794, 385-394.
  8. Saka, M.P., 2009. Optimum Design of Steel Sway Frames to BS5950 using Harmony Search Algorithm. Journal of Constructional Steel Research, 65, 36-43. https://doi.org/10.1016/j.jcsr.2008.02.005
  9. Sedaghati, R., Suleman, A., Tabarrok, B., 2002. Structural Optimization with Frequency Constraints Using the Finite Element Force Method. AIAA, 40(2), 382-388. https://doi.org/10.2514/2.1657
  10. Wang, D., Zhang, W.H., Jiang, J.S., 2004. Truss Optimization on Shape and Sizing with Frequency Constraints. AIAA Journal, 42(3). 622-630. https://doi.org/10.2514/1.1711