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| + | == Abstract == | ||
| + | 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) [<span id='cite-1'></span>[[#1|1]]], but the design variables (material | ||
| + | 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 | ||
| + | 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 [<span id='cite-3'></span>[[#3|3]]]. In | ||
| + | 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 [<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. | ||
| + | |||
| + | - 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. | ||
| + | |||
| + | == Recording of the presentation == | ||
{| style="font-size:120%; color: #222222; border: 1px solid darkgray; background: #f3f3f3; table-layout: fixed; width:100%;" | {| style="font-size:120%; color: #222222; border: 1px solid darkgray; background: #f3f3f3; table-layout: fixed; width:100%;" | ||
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| {{#evt:service=youtube|id=https://youtu.be/6LAbAo5m5ZQ|alignment=center}} | | {{#evt:service=youtube|id=https://youtu.be/6LAbAo5m5ZQ|alignment=center}} | ||
| + | |- style="text-align: center;" | ||
| + | | Location: Technical University of Catalonia (UPC), Vertex Building. | ||
| + | |- style="text-align: center;" | ||
| + | | Date: 1 - 3 September 2015, Barcelona, Spain. | ||
|} | |} | ||
| + | |||
| + | == General Information == | ||
| + | * Location: Technical University of Catalonia (UPC), Barcelona, Spain. | ||
| + | * Date: 1 - 3 September 2015 | ||
| + | * Secretariat: [//www.cimne.com/ International Center for Numerical Methods in Engineering (CIMNE)]. | ||
| + | |||
| + | == External Links == | ||
| + | * [//congress.cimne.com/complas2015/frontal/default.asp Complas XIII] Official Website of the Conference. | ||
| + | * [//www.cimnemultimediachannel.com/ CIMNE Multimedia Channel] | ||
| + | |||
| + | ==References== | ||
| + | <div id="1"></div> | ||
| + | [[#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
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