Support for Decision Making in Design of Composite Laminated Structures. Part 2: Reduced Parametric Model-Based Optimization
Source abstract
Abstract
The design process of laminated composites faces two challenges: the engineer designs the product and its morphology, but also, simultaneously, the material. The number of design solutions can be huge since the solution space is very large. Standard CAE systems (CAD, Finite Element Simulation) do not offer to the designer an approach to explore these solution spaces efficiently and interactively. This paper provides a possible procedure for engineers having a laminated composite product to create: it presents an approach that allows combining to usual morphological design parameters, specific variables that are typically the domain of composite experts, and manufacturing experts. Using an optimization approach based on an evolutionary algorithm coupled to a reduced order analysis, a decision support solution is detailed. The numerical approach allows the engineer to explore interactively design spaces. Our approach is consisting in processing a Knowledge Model having a reduced and separated form [9]. We present a decision support method that allow designers to have, both, a multiscale and a multiphysical view on the laminated structures that they are creating. Two design problems are presented to illustrate the relevance of the approach when designing composite structures: one under a static load and the having a dynamic behavior.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Topology Optimization in Engineering · Composite Structure Analysis and Optimization · Design Education and Practice
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (22)
Show source-provided references
1. Almeida, J.H.S., Ribeiro, M.L., Tita, V., Amico, S.C.: Stacking sequence optimization in composite tubes under internal pressure based on genetic algorithm accounting for progressive damage. Compos. Struct. 178, 20–26 (2017). https://doi.org/10.1016/j.compstruct.2017.07.05410.1016/j.compstruct.2017.07.054 ↗
2. Bouyssou D. Ed: Decision-making process: concepts and methods. ISTE [u.a.], London (2009)10.1002/9780470611876 ↗
3. Calado, E.A., Leite, M., Silva, A.: Selecting composite materials considering cost and environmental impact in the early phases of aircraft structure design. J. Clean. Prod. 186, 113–122 (2018). https://doi.org/10.1016/j.jclepro.2018.02.04810.1016/j.jclepro.2018.02.048 ↗
4. Carrera, E.: Theories and finite elements for multilayered, anisotropic, composite plates and shells. Arch. Comput. Methods Eng. 9, 87–140 (2002). https://doi.org/10.1007/BF0273664910.1007/BF02736649 ↗
5. Corona, A., Madsen, B., Hauschild, M.Z., Birkved, M.: Natural fibre selection for composite eco-design. CIRP Ann. 65, 13–16 (2016). https://doi.org/10.1016/j.cirp.2016.04.03210.1016/j.cirp.2016.04.032 ↗
6. Coronado Mondragon, A.E., Coronado Mondragon, C.E., Hogg, P.J., Rodríguez-López, N.: A design process for the adoption of composite materials and supply chain reconfiguration supported by a software tool. Comput. Ind. Eng. 121, 62–72 (2018). https://doi.org/10.1016/j.cie.2018.05.02210.1016/j.cie.2018.05.022 ↗
7. Dutra, T.A., de Almeida, S.F.M.: Composite plate stiffness multicriteria optimization using lamination parameters. Compos. Struct. 133, 166–177 (2015). https://doi.org/10.1016/j.compstruct.2015.07.02910.1016/j.compstruct.2015.07.029 ↗
8. Fischer, X., Nadeau, J.-P., Sébastian, P., Joyot, P.: Decision support in integrated mechanical design through qualitative constraints. In: Integrated Design and Manufacturing in Mechanical Engineering, pp. 35–42 (2002)10.1007/978-94-015-9966-5_5 ↗
9. Fontecha Dulcey, G., Fischer, X., Joyot, P., Fadel, G.: Support for decision making in Design of Composite Laminated Structures; part 1: parametric knowledge model., applied composite materials, springer. Nature. (2018)10.1007/s10443-018-9741-x ↗
10. Gascons, M., Blanco, N., Mayugo, J.A., Matthys, K.: A strategy to support design processes for fibre reinforced thermoset composite materials. Appl. Compos. Mater. 19, 297–314 (2012). https://doi.org/10.1007/s10443-011-9203-110.1007/s10443-011-9203-1 ↗
11. Hambali, A., Sapuan, S.M., Ismail, N., Nukman, Y.: Material selection of polymeric composite automotive bumper beam using analytical hierarchy process. J. Cent. S. Univ. Technol. 17, 244–256 (2010). https://doi.org/10.1007/s11771-010-0038-y10.1007/s11771-010-0038-y ↗
12. Irisarri, F.-X., Bassir, D.H., Carrere, N., Maire, J.-F.: Multiobjective stacking sequence optimization for laminated composite structures. Compos. Sci. Technol. 69, 983–990 (2009). https://doi.org/10.1016/j.compscitech.2009.01.01110.1016/j.compscitech.2009.01.011 ↗
13. Kamiński, M.M.: Computational Mechanics of Composite Materials: Sensitivity, Randomness, and Multiscale Behaviour. Springer, London (2005)
14. Kwon, Y.W., Allen, D.H., Talreja, R.: Multiscale modeling and simulation of composite materials and structures. Springer, New York (2008)10.1007/978-0-387-68556-4 ↗
15. Macquart, T., Maes, V., Bordogna, M.T., Pirrera, A., Weaver, P.M.: Optimisation of composite structures – enforcing the feasibility of lamination parameter constraints with computationally-efficient maps. Compos. Struct. 192, 605–615 (2018). https://doi.org/10.1016/j.compstruct.2018.03.04910.1016/j.compstruct.2018.03.049 ↗
16. Mejia Gutierrez, R., Fischer, X., Bennis, F.: A tutor agent for supporting distributed knowledge modelling in interactive product design. Int. J. Intell. Syst. Technol. Appl. 4, 399 (2008). https://doi.org/10.1504/IJISTA.2008.01728110.1504/IJISTA.2008.017281 ↗
17. Michalewicz Z.: Genetic algorithms + data structures = evolution programs. Springer-Verlag, Berlin; New York (1994)10.1007/978-3-662-07418-3 ↗
18. Nikbakt, S., Kamarian, S., Shakeri, M.: A review on optimization of composite structures part I: laminated composites. Compos. Struct. 195, 158–185 (2018). https://doi.org/10.1016/j.compstruct.2018.03.06310.1016/j.compstruct.2018.03.063 ↗
19. Pahl, G., Wallace, K., Blessing, L., Pahl, G. (eds.): Engineering design: a systematic approach. Springer, London (2007)
20. Reddy, J.N.: An evaluation of equivalent-single-layer and layerwise theories of composite laminates. Compos. Struct. 25, 21–35 (1993). https://doi.org/10.1016/0263-8223(93)90147-I10.1016/0263-8223(93)90147-I ↗
21. Sanz-Corretge, J.: A procedure to design optimum composite plates using implicit decision trees. Struct. Multidiscip. Optim. 56, 1169–1183 (2017). https://doi.org/10.1007/s00158-017-1711-710.1007/s00158-017-1711-7 ↗
22. Srinivasan, R., Karandikar, H.M., Mistree, F.: Understanding design-manufacture interaction using compromise decision support problems—III. Design for manufacture of composite pressure vessels. Comput. Struct. 40, 705–717 (1991). https://doi.org/10.1016/0045-7949(91)90238-H10.1016/0045-7949(91)90238-H ↗