Selection of Integral Functions for Normal Mode Analysis in Topology Optimization

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This article investigates topology optimization for normal mode analysis using a moving iso-surface threshold method. Fundamental natural frequency needs to be calculated for many engineering structures and maximizing its value is an interesting topic in topology optimization. Optimal design for the maximum fundamental frequency may appear to be a trivial issue or impractical design. Reinforcements by introducing non-designable elements and non-structural mass or concentrated mass are often used. In this article, these issues will be solved by choosing an appropriate Φ function that is an integral function in the moving iso-surface threshold method. The proposed Φ function is expressed as strain and kinetic energy densities for a series of normal modes. By selecting the energy densities of different mode shapes, optimal topologies to maximize structural fundamental frequency are studied.

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795-800

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Pedersen, N.L., Maximization of eigenvalues using topology optimization. Structural and Multidisciplinary Optimization, 2000. 20(1): 2-11.

DOI: 10.1007/s001580050130

Google Scholar

[2] Tcherniak, D., Topology optimization of resonating structures using SIMP method. International Journal for Numerical Methods in Engineering, 2002. 54(11): 1605-1622.

DOI: 10.1002/nme.484

Google Scholar

[3] Jensen, J.S. and Pedersen, N.L., On maximal eigenfrequency separation in two-material structures: the 1D and 2D scalar cases. Journal of Sound and Vibration, 2006. 289(4–5): 967-986.

DOI: 10.1016/j.jsv.2005.03.028

Google Scholar

[4] Du, J. and Olhoff, N., Topological design of freely vibrating continuum structures for maximum values of simple and multiple eigenfrequencies and frequency gaps. Structural and Multidisciplinary Optimization, 2007. 34(2): 91-110.

DOI: 10.1007/s00158-007-0101-y

Google Scholar

[5] Niu, B., Yan, J. and Cheng, G., Optimum structure with homogeneous optimum cellular material for maximum fundamental frequency. Structural and Multidisciplinary Optimization, 2009. 39(2): 115-132.

DOI: 10.1007/s00158-008-0334-4

Google Scholar

[6] Ma, Z. -D., Cheng, H. -C. and Kikuchi, N., Structural design for obtaining desired eigenfrequencies by using the topology and shape optimization method. Computing Systems in Engineering, 1994. 5(1): 77-89.

DOI: 10.1016/0956-0521(94)90039-6

Google Scholar

[7] Bendsoe, M.P. and Sigmund, O., Topology Optimization: Theory, Methods and Applications2003, Berlin ; New York: Springer.

Google Scholar

[8] Bendsoe, M.P. and Kikuchi, N., Generating optimal topologies in structureal design using a homogenization method. Computer Methods in Applied Mechanics and Engineering, 1988. 71(2): 197-224.

DOI: 10.1016/0045-7825(88)90086-2

Google Scholar

[9] Bendsøe, M.P., Optimal shape design as a material distribution problem. Structural optimization, 1989. 1(4): 193-202.

DOI: 10.1007/bf01650949

Google Scholar

[10] Mlejnek, H.P., Some aspects of the genesis of structures. Structural optimization, 1992. 5(1-2): 64-69.

Google Scholar

[11] Zhou, M. and Rozvany, G.I.N., The COC algorithm, Part II: Topological, geometrical and generalized shape optimization. Computer Methods in Applied Mechanics and Engineering, 1991. 89(1–3): 309-336.

DOI: 10.1016/0045-7825(91)90046-9

Google Scholar

[12] Svanberg, K., The method of moving asymptotes-a new method for structural optimization. International Journal for Numerical Methods in Engineering, 1987. 24(2): 359-373.

DOI: 10.1002/nme.1620240207

Google Scholar

[13] Xie, Y.M. and Steven, G.P., A simple evolutionary procedure for structural optimization. Computers & Structures, 1993. 49(5): 885-896.

DOI: 10.1016/0045-7949(93)90035-c

Google Scholar

[14] Sethian, J.A., Fast marching methods. Siam Review, 1999. 41(2): 199-235.

DOI: 10.1137/s0036144598347059

Google Scholar

[15] Wang, M.Y., Wang, X.M. and Guo, D.M., A level set method for structural topology optimization. Computer Methods in Applied Mechanics and Engineering, 2003. 192(1-2): 227-246.

DOI: 10.1016/s0045-7825(02)00559-5

Google Scholar

[16] Luo, J.Z., Luo, Z., Chen, L.P., Tong, L.Y. and Wang, M.Y., A semi-implicit level set method for structural shape and topology optimization. Journal of Computational Physics, 2008. 227(11): 5561-5581.

DOI: 10.1016/j.jcp.2008.02.003

Google Scholar

[17] Allaire, G., Jouve, F. and Toader, A. -M., A level-set method for shape optimization. Comptes Rendus Mathematique, 2002. 334(12): 1125-1130.

DOI: 10.1016/s1631-073x(02)02412-3

Google Scholar

[18] Tong, L.Y. and Lin, J.Z., Structural topology optimization with implicit design variable-optimality and algorithm. Finite Elements in Analysis and Design, 2011. 47(8): 922-932.

DOI: 10.1016/j.finel.2011.03.004

Google Scholar

[19] Vasista, S. and Tong, L.Y., Design and Testing of Pressurized Cellular Planar Morphing Structures. AIAA Journal, 2012. 50(6): 1328-1338.

DOI: 10.2514/1.j051427

Google Scholar

[20] Cook, R.D., Malkus, D.S. and Plesha, M.E., Concepts and applications of finite element analysis. 4th ed2001, 4th edition. New York: Wiley, c2001.

Google Scholar