全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Homogenization Topology Optimization Method Based on Continuous Field

DOI: 10.1155/2010/528397

Full-Text   Cite this paper   Add to My Lib

Abstract:

In order to overcome numerical instabilities such as checkerboards, meshdependence in topology optimization of continuum structures, a new implementation combined with homogenization method without introducing any additional constraint parameter is presented. To overcome the shortcoming of continuous material distribution by the introduction of finite element approximation, moving least square or modified filter functions are adopted as interpolation function. The method can be viewed as a nature extension of node-based homogenization method and named as material point homogenization method. Continuous size field and continuous density field are constructed, and structural responses' sensitivities are derived. Several representative numerical examples are presented to demonstrate the capability and the efficiency of the proposed approach against some classes of numerical instabilities. 1. Introduction Topology optimization refers to optimal design problems in which the topology of the structure is allowed to change in order to improve the performance of the structure. Relative to size optimization and shape optimization, this optimization class is regarded as one of the most challenging optimization problems in the field of structural optimization. Much research has been devoted to topology optimization over the last decades. Starting with the landmark paper of Bends?e and Kikuchi [1], numerical methods for topology optimization have been investigated extensively since the late 1980s. The area of topology optimization of continuum structures is now dominated by methods that employ the material distribution concept. The typical ones are the homogenization and variable density method. In the homogenization method, the material property of each design cell is computed by the homogenization theory, and the optimal topology is obtained by solving a material distribution problem. However, the homogenization method may not yield the intended results with infinitesimal pores in the materials that make the structure not manufacturable. An engineering alternative approach called the variable density method was introduced in [2]. Instead of using the homogenization theory to evaluate the material property for design cells, this approach assumes some explicit relationships between the density and the material property without considering their microstructures. This approach is very attractive to the engineering community because of its simplicity. The power-law approach is physically permissible as long as simple conditions on the power are satisfied (e.g., for

References

[1]  M. P. Bends?e and N. Kikuchi, “Generating optimal topologies in structural design using a homogenization method,” Computer Methods in Applied Mechanics and Engineering, vol. 71, no. 2, pp. 197–224, 1988.
[2]  M. P. Bendsoe and O. Sigmund, Topology Optimization: Theory, Methods and Application, Springer, New York, NY, USA, 2003.
[3]  Y. M. Xie and G. P. Steven, Evolutionary Structural Optimization, Springer, London, UK, 1997.
[4]  V. Young, O. M. Querin, G. P. Steven, and Y. M. Xie, “3D and multiple load case bi-directional evolutionary structural optimization (BESO),” Structural Optimization, vol. 18, no. 2-3, pp. 183–192, 1999.
[5]  M. Zhou and G. I. N. Rozvany, “On the validity of ESO type methods in topology optimization,” Structural and Multidisciplinary Optimization, vol. 21, no. 1, pp. 80–83, 2001.
[6]  G. I. N. Rozvany, “A critical review of established methods of structural topology optimization,” Structural and Multidisciplinary Optimization, vol. 37, no. 3, pp. 217–237, 2009.
[7]  O. Sigmund and J. Petersson, “Numerical instabilities in topology optimization: a survey on procedures dealing with checkerboards, mesh-dependencies and local minima,” Structural Optimization, vol. 16, no. 1, pp. 68–75, 1998.
[8]  R. B. Haber, C. S. Jog, and M. P. Bends?e, “A new approach to variable-topology shape design using a constraint on perimeter,” Structural Optimization, vol. 11, no. 1, pp. 1–12, 1996.
[9]  W. H. Zhang and P. Duysinx, “Dual approach using a variant perimeter constraint and efficient sub-iteration scheme for topology optimization,” Computers and Structures, vol. 81, no. 22-23, pp. 2173–2181, 2003.
[10]  M. Zhou, Y. K. Shyy, and H. L. Thomas, “Checkerboard and minimum member size control in topology optimization,” Structural and Multidisciplinary Optimization, vol. 21, no. 2, pp. 152–158, 2001.
[11]  O. Sigmund, “Morphology-based black and white filters for topology optimization,” Structural and Multidisciplinary Optimization, vol. 33, no. 4-5, pp. 401–424, 2007.
[12]  T. A. Poulsen, “Topology optimization in wavelet space,” International Journal for Numerical Methods in Engineering, vol. 53, no. 3, pp. 567–582, 2002.
[13]  K. Matsui and K. Terada, “Continuous approximation of material distribution for topology optimization,” International Journal for Numerical Methods in Engineering, vol. 59, no. 14, pp. 1925–1944, 2004.
[14]  S. F. Rahmatalla and C. C. Swan, “A Q4/Q4 continuum structural topology optimization implementation,” Structural and Multidisciplinary Optimization, vol. 27, no. 1-2, pp. 130–135, 2004.
[15]  G. H. Paulino and C. H. Le, “A modified Q4/Q4 element for topology optimization,” Structural and Multidisciplinary Optimization, vol. 37, no. 3, pp. 255–264, 2009.
[16]  T. Belytschko, S. P. Xiao, and C. Parimi, “Topology optimization with implicit functions and regularization,” International Journal for Numerical Methods in Engineering, vol. 57, no. 8, pp. 1177–1196, 2003.
[17]  Y. X. Du, L. P. Chen, Q. H. Tian, and Z. J. Wu, “Topology synthesis of thermomechanical compliant mechanisms with geometrical nonlinearities using meshless method,” Advances in Engineering Software, vol. 40, no. 5, pp. 315–322, 2009.
[18]  B. Hassani and E. Hinton, “A review of homogenization and topology optimization I—homogenization theory for media with periodic structure,” Computers and Structures, vol. 69, no. 6, pp. 707–717, 1998.
[19]  B. Hassani and E. Hinton, “A review of homogenization and topology opimization II—analytical and numerical solution of homogenization equations,” Computers and Structures, vol. 69, no. 6, pp. 719–738, 1998.
[20]  B. Hassani and E. Hinton, “Review of homogenization and topology optimization III—topology optimization using optimality criteria,” Computers and Structures, vol. 69, no. 6, pp. 739–756, 1998.
[21]  M. P. Bendsoe, Optimization of Structural Topology, Shape and Material, Springer, New York, NY, USA, 1995.
[22]  K. Long, Z. Zuo, and R. H. Zuberi, “Study on parameters for topological variables field interpolated by moving least square approximation,” Acta Mechanica Solida Sinica, vol. 22, no. 2, pp. 180–188, 2009.
[23]  O. Sigmund, “A 99 line topology optimization code written in matlab,” Structural and Multidisciplinary Optimization, vol. 21, no. 2, pp. 120–127, 2001.
[24]  S. R. M. Almeida, G. H. Paulino, and E. C. N. Silva, “A simple and effective inverse projection scheme for void distribution control in topology optimization,” Structural and Multidisciplinary Optimization, vol. 39, no. 4, pp. 359–371, 2009.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133