Abstract
The aim of this book chapter is to demonstrate a methodology for tailoring macroscale response by topology optimizing microstructural details. The microscale and macroscale response are completely coupled by treating the full model. The multiscale finite element method (MsFEM) for high-contrast material parameters is proposed to alleviate the high computational cost associated with solving the discrete systems arising during the topology optimization process. Problems within important engineering areas, heat transfer and linear elasticity, are considered for exemplifying the approach. It is demonstrated that it is important to account for the boundary effects to ensure prescribed behavior of the macrostructure. The obtained microstructures are designed for specific applications, in contrast to more traditional homogenization approaches where the microstructure is designed for specific material properties.
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Aage N, Andreassen E, Lazarov BS (2014) Topology optimization using PETSc: an easy-to-use, fully parallel, open source topology optimization framework. Struct Multi Optim 1–8. doi:10.1007/s00158-014-1157-0
Aage N, Lazarov B (2013) Parallel framework for topology optimization using the method of moving asymptotes. Struct Multi Optim 47(4):493–505. doi:10.1007/s00158-012-0869-2
Alexandersen J, Lazarov BS (2015) Topology optimisation of manufacturable microstructural details without length scale separation using a spectral coarse basis preconditioner. Comput Methods Appl Mech Eng 290(1):156–182. doi:10.1016/j.cma.2015.02.028
Amir O, Aage N, Lazarov BS (2014) On multigrid-CG for efficient topology optimization. Struct Multi Optim 49(5):815–829 (2014). doi:10.1007/s00158-013-1015-5
Andreassen E, Lazarov BS, Sigmund O (2014) Design of manufacturable 3d extremal elastic microstructure. Mech Mater 69(1):1–10. doi:10.1016/j.mechmat.2013.09.018
Bendsøe MP, Kikuchi N (1988) Generating optimal topologies in structural design using a homogenization method. Comput Methods Appl Mech Eng 71(2):197–224. doi:10.1016/0045-7825(88)90086-2
Bendsoe MP, Sigmund O (2003) Topology optimization—Theory, methods and applications. Springer, Berlin
Bourdin B (2001) Filters in topology optimization. Int J Numer Methods Eng 50:2143–2158
Braess D (2007) Finite elements: theory, fast solvers, and applications in solid mechanics. Cambridge University Press, Cambridge
Bruns TE, Tortorelli DA (2001) Topology optimization of non-linear elastic structures and compliant mechanisms. Comput Methods Appl Mech Eng 190:3443–3459
Buck M, Iliev O, Andrä H (2013) Multiscale finite element coarse spaces for the application to linear elasticity. Central European Journal of Mathematics 11(4):680–701. doi:10.2478/s11533-012-0166-8
Coelho P, Fernandes P, Guedes J, Rodrigues H (2008) A hierarchical model for concurrent material and topology optimisation of three-dimensional structures. Struct Multi Optim 35:107–115. doi:10.1007/s00158-007-0141-3
Coelho P, Fernandes P, Rodrigues H, Cardoso J, Guedes J (2009) Numerical modeling of bone tissue adaptationa hierarchical approach for bone apparent density and trabecular structure. J Biomech 42(7):830–837. doi:10.1016/j.jbiomech.2009.01.020
Deaton J, Grandhi R (2014) A survey of structural and multidisciplinary continuum topology optimization: post 2000. Struct Multi Optim 49(1):1–38. doi:10.1007/s00158-013-0956-z
Efendiev Y, Galvis J (2011) A domain decomposition preconditioner for multiscale high-contrast problems. In: Huang Y, Kornhuber R, Widlund O, Xu J, Barth TJ, Griebel M, Keyes DE, Nieminen RM, Roose D, Schlick T (eds) Domain decomposition methods in science and engineering XIX, lecture notes in computational science and engineering. Springer, Berlin, pp 189–196. doi:10.1007/978-3-642-11304-8 20
Efendiev Y, Galvis J, Hou TY (2013) Generalized multiscale finite element methods (gmsfem). J Comput Phys 251(0):116–135. doi:10.1016/j.jcp.2013.04.045
Efendiev Y, Galvis J, Lazarov R, Willems J (2012) Robust domain decomposition preconditioners for abstract symmetric positive definite bilinear forms. ESAIM: Math Model Numer Anal 46:1175–1199
Efendiev Y, Galvis J, Wu XH (2011) Multiscale finite element methods for high-contrast problems using local spectral basis functions. J Comput Phys 230(4):937–955. doi:10.1016/j.jcp.2010.09.026
Efendiev Y, Hou TY (2009) Multiscale finite element methods: theory and applications. Springer, Berlin
Galvis J, Efendiev Y (2010) Domain decomposition preconditioners for multiscale flows in high-contrast media. Multiscale Model Simul 8(4):1461–1483. doi:10.1137/090751190
Jansen M, Lazarov B, Schevenels M, Sigmund O (2013) On the similarities between micro/nano lithography and topology optimization projection methods. Struct Multi Optim 48(4):717–730. doi:10.1007/s00158-013-0941-6
Lazarov B (2014) Topology optimization using multiscale finite element method for high-contrast media In: Lirkov I, Margenov S, Waniewski J (eds) Large-scale scientific computing, lecture notes in computer science, pp 339–346. Springer, Berlin. doi:10.1007/978-3-662-43880-038
Lazarov BS, Schevenels M, Sigmund O (2012) Topology optimization considering material and geometric uncertainties using stochastic collocation methods. Struct Multi Optim 46:597–612. doi:10.1007/s00158-012-0791-7
Lazarov BS, Sigmund O (2011) Filters in topology optimization based on Helmholtz-type differential equations. Int J Numer Meth Eng 86(6):765–781. doi:10.1002/nme.3072
Maitre OPL, Knio OM (2010) Spectral Methods for uncertainty quantification: with applications to computational fluid dynamics. Springer, Berlin
Saad Y (2003) Iterative methods for sparse linear systems. SIAM, Philadelphia
Schevenels M, Lazarov B, Sigmund O (2011) Robust topology optimization accounting for spatially varying manufacturing errors. Comput Meth Appl Mech Eng 200(49–52):3613–3627. doi:10.1016/j.cma.2011.08.006
Sigmund O (1994) Materials with prescribed constitutive parameters: an inverse homogenization problem. Int J Sol Struct 31(17):2313–2329. doi:10.1016/0020-7683(94)90154-6
Sigmund O (1995) Tailoring materials with prescribed elastic properties. Mech Mater 20(4):351–368). doi:10.1016/0167-6636(94)00069-7
Sigmund O, Maute K (2013) Topology optimization approaches. Struct Multi Optim 48(6):1031–1055. doi:10.1007/s00158-013-0978-6
Svanberg K (1987) The method of moving asymptotes - a new method for structural optimization. Int J Numer Meth Eng 24:359–373
Torquato S (2002) Random heterogeneous materials. Springer, Berlin
Vassilevski PS (2008) Multilevel block factorization preconditioners: matrix-based analysis and algorithms for solving finite element equations. Springer, New York
Wang F, Lazarov B, Sigmund O (2011) On projection methods, convergence and robust formulations in topology optimization. Struct Multidi Optim 43(6):767–784. doi:10.1007/s00158-010-0602-y
Wang F, Sigmund O, Jensen JS (2014) Design of materials with prescribed nonlinear properties. J Mech Phys Sol 69(1):156–174. doi:10.1016/j.jmps.2014.05.003
Zhou M, Lazarov BS, Sigmund O (2014) Topology optimization for optical projection lithography with manufacturing uncertainties. Appl Opt 53(12):2720–2729. doi:10.1364/AO.53.002720
Acknowledgments
Both authors were funded by Villum Fonden through the NextTop project, as well as the EU FP7-MC-IAPP programme LaScISO. The authors would like to thank Dr. Fengwen Wang for providing them with optimized periodic microstructural design of negative Poisson’s ratio material utilized as initial guess in the last example.
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Alexandersen, J., Lazarov, B.S. (2015). Tailoring Macroscale Response of Mechanical and Heat Transfer Systems by Topology Optimization of Microstructural Details. In: Lagaros, N., Papadrakakis, M. (eds) Engineering and Applied Sciences Optimization. Computational Methods in Applied Sciences, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-319-18320-6_15
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DOI: https://doi.org/10.1007/978-3-319-18320-6_15
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