Abstract
Topology optimization in general progresses with numerical instability i.e. checkerboard patterns if no filtering radius is used i.e. imposement of minimum length scale. Many studies are done in past decades to get rid of numerical instability or checkerboard pattern while optimizing the topology of mechanical structures. The proposed solution in this paper the structure is meshing structure twice (dual mesh) where first mesh defines the material distribution, and another mesh is utilized for computing the stress and displacement on an element which lets us to a stress-based refinement of mesh without modification of optimum design variables. Optimality criteria method is used for optimizing the design variable i.e. relative density over the domain. Another significance of this approach is that imposition minimum radius not needed to optimize design variables over the structural domain, instead the length scale is determined by the design mesh. A comparison is done between the topology obtained, compliance value and time taken after discretizing the structure with 4 noded element, 8 noded element and 9 noded quadrilateral element and a graph is also plotted to show the compliance value.
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References
Sigmund, O., Petersson, J.: Numerical instabilities in topology optimization: a survey on procedures dealing with checkerboards, mesh-dependencies and local minima. Struct. Opti. 16(1), 68–75 (1998)
Düster, A., Parvizian, J., Rank, E.: Topology optimization based on the finite cell method. PAMM 10(1), 151–152 (2010)
Groen, J.P., et al.: Higher-order multi-resolution topology optimization using the finite cell method. Int. J. Numer. Meth. Eng. 110(10), 903–920 (2017)
Nguyen, T.H., Le, C.H., Hajjar, J.F.: Topology optimization using the p-version of the finite element method. Struct. Mult. Optim. 56(3), 571–586 (2017)
Bendsøe, M.P.: Optimal shape design as a material distribution problem. Struct. Optim. 1(4), 193–202 (1989)
Bendsoe, M.P., Sigmund, O.: Topology optimization: theory, methods, and applications. Springer Science and Business Media (2013)
White, D.A., Choi, Y., Kudo, J.: A dual mesh method with adaptivity for stress-constrained topology optimization. Struct. Multi. Optim. 61(2), 749–762 (2020)
Sigmund, O.: On the design of compliant mechanisms using topology optimization. J. Struct. Mech. 25(4), 493–524 (1997)
Sigmund, O.: A 99 line topology optimization code written in Matlab. Struct. Multi. Optim. 21(2), 120–127 (2001)
Kuo, Y.L., Cleghorn, W.L.: The h-, p-, and r-refinements of finite element analysis of flexible slider crank mechanism. J. Vib. Cont. 13(4), 415–435 (2007)
Zuo, K.-T., et al.: Study of key algorithms in topology optimization. Int. J. Adv. Manuf. Technol. 32(7–8), 787–796 (2007)
Sigmund, O.: Systematic design of metamaterials by topology optimization. In: IUTAM Symposium on Modelling Nanomaterials and Nanosystems, Springer, Dordrecht (2009)
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Mukherjee, S., Lu, D., Dutta, S., Raghavan, B., Breitkopf, P., Xiao, M. (2021). Topology Optimization of Structures Using Higher Order Finite Elements in Analysis. In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 206. Springer, Singapore. https://doi.org/10.1007/978-981-15-9829-6_61
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DOI: https://doi.org/10.1007/978-981-15-9829-6_61
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