Line 2: | Line 2: | ||
Multiscale topological material design, aiming at obtaining optimal distribution of the material at | Multiscale topological material design, aiming at obtaining optimal distribution of the material at | ||
several scales in structural materials is still a challenge. In this case, the cost function to be | several scales in structural materials is still a challenge. In this case, the cost function to be | ||
− | minimized is placed at the macro-scale (compliance function) [1], but the design variables (material | + | minimized is placed at the macro-scale (compliance function) [<span id='cite-1'></span>[[#1|1]]], but the design variables (material |
− | distribution) lie at both the macro-scale and the micro-scale [2]. The large number of involved design | + | distribution) lie at both the macro-scale and the micro-scale [<span id='cite-2'></span>[[#2|2]]]. The large number of involved design |
variables and the multi-scale character of the analysis, resulting into a multiplicative cost of the | variables and the multi-scale character of the analysis, resulting into a multiplicative cost of the | ||
optimization process, often make such approaches prohibitive, even if in 2D cases. | optimization process, often make such approaches prohibitive, even if in 2D cases. | ||
Line 10: | Line 10: | ||
- The “topological derivative” is considered the basic mathematical tool to be used for the | - The “topological derivative” is considered the basic mathematical tool to be used for the | ||
− | purposes of determining the sensitivity of the cost function to material removal [3]. In | + | purposes of determining the sensitivity of the cost function to material removal [<span id='cite-3'></span>[[#3|3]]]. In |
− | conjunction with a level-set-based “algorithm” [4] it provides a robust and well-founded | + | conjunction with a level-set-based “algorithm” [<span id='cite-4'></span>[[#4|4]]] it provides a robust and well-founded |
− | setting for material distribution optimization [5]. | + | setting for material distribution optimization [<span id='cite-5'></span>[[#5|5]]]. |
- The computational cost associated to the multiscale optimization problem is dramatically reduced by resorting to the concept of the online/offline decomposition of the computations. A “Computational Vademecum” containing the micro-scale solution for the topological optimization problem in a RVE for a large number of discrete macroscopic stress-states, is used for solving that problem by simple consultation. | - The computational cost associated to the multiscale optimization problem is dramatically reduced by resorting to the concept of the online/offline decomposition of the computations. A “Computational Vademecum” containing the micro-scale solution for the topological optimization problem in a RVE for a large number of discrete macroscopic stress-states, is used for solving that problem by simple consultation. | ||
Line 43: | Line 43: | ||
==References== | ==References== | ||
<div id="1"></div> | <div id="1"></div> | ||
− | [[#cite-1|[1]]] | + | [[#cite-1|[1]]] M. Bendsoe, O. Sigmund. Topology Optimization. Theory, Methods, and Applications, |
− | + | Springer Verlag, New York (2003). | |
+ | <div id="2"></div> | ||
+ | [[#cite-2|[2]]] Kato, J., Yachi, D., Terada, K., Kyoya, T. Topology optimization of micro-structure for | ||
+ | composites applying a decoupling multi-scale analysis. Structural Multidisciplinary | ||
+ | Optimization 49:595–608 (2014). | ||
+ | <div id="3"></div> | ||
+ | [[#cite-3|[3]]] Amstutz, S., Giusti, S. M., Novotny, A. A. and de Souza Neto, E. A.), Topological derivative | ||
+ | for multi-scale linear elasticity models applied to the synthesis of micro-structures. Int. J. | ||
+ | Numer. Meth. Engng., 84: 733–756. doi: 10.1002/nme.2922, (2010). | ||
+ | <div id="4"></div> | ||
+ | [[#cite-4|[4]]] Allaire, G., Jouve, F., Toader, A.-M. Structural optimization using sensitivity analysis and a | ||
+ | level-set method, Journal of Computational Physics, 194 (1), pp. 363-393, (2004). | ||
+ | <div id="5"></div> | ||
+ | [[#cite-5|[5]]] Ferrer A., Cante, J.C., Oliver J., On multi-scale structural topology optimization and material | ||
+ | design, Proc. of the Congress on Numerical Methods in Engineering (CMA_2015), Lisboa | ||
+ | 2015. |
Multiscale topological material design, aiming at obtaining optimal distribution of the material at several scales in structural materials is still a challenge. In this case, the cost function to be minimized is placed at the macro-scale (compliance function) [1], but the design variables (material distribution) lie at both the macro-scale and the micro-scale [2]. The large number of involved design variables and the multi-scale character of the analysis, resulting into a multiplicative cost of the optimization process, often make such approaches prohibitive, even if in 2D cases.
In this work, an integrated approach for multi-scale topological design of structural linear materials is proposed. The approach features the following properties:
- The “topological derivative” is considered the basic mathematical tool to be used for the purposes of determining the sensitivity of the cost function to material removal [3]. In conjunction with a level-set-based “algorithm” [4] it provides a robust and well-founded setting for material distribution optimization [5].
- The computational cost associated to the multiscale optimization problem is dramatically reduced by resorting to the concept of the online/offline decomposition of the computations. A “Computational Vademecum” containing the micro-scale solution for the topological optimization problem in a RVE for a large number of discrete macroscopic stress-states, is used for solving that problem by simple consultation.
- Coupling of the optimization problem at both scales is solved by a simple iterative “fixedpoint” scheme, which is found to be robust and convergent.
- The proposed technique is enriched by the concept of “manufacturability”, i.e.: obtaining sub-optimal solutions of the original problems displaying homogeneous material over finite sizes domains at the macrostructure: the “structural components”.
The approach is tested by application to some engineering examples, involving minimum compliance design of material and structure topologies, which show the capabilities of the proposed framework.
Location: Technical University of Catalonia (UPC), Vertex Building. |
Date: 1 - 3 September 2015, Barcelona, Spain. |
[1] M. Bendsoe, O. Sigmund. Topology Optimization. Theory, Methods, and Applications, Springer Verlag, New York (2003).
[2] Kato, J., Yachi, D., Terada, K., Kyoya, T. Topology optimization of micro-structure for composites applying a decoupling multi-scale analysis. Structural Multidisciplinary Optimization 49:595–608 (2014).
[3] Amstutz, S., Giusti, S. M., Novotny, A. A. and de Souza Neto, E. A.), Topological derivative for multi-scale linear elasticity models applied to the synthesis of micro-structures. Int. J. Numer. Meth. Engng., 84: 733–756. doi: 10.1002/nme.2922, (2010).
[4] Allaire, G., Jouve, F., Toader, A.-M. Structural optimization using sensitivity analysis and a level-set method, Journal of Computational Physics, 194 (1), pp. 363-393, (2004).
[5] Ferrer A., Cante, J.C., Oliver J., On multi-scale structural topology optimization and material design, Proc. of the Congress on Numerical Methods in Engineering (CMA_2015), Lisboa 2015.
Published on 07/06/16
Licence: CC BY-NC-SA license
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