Abstract
Sandwich structure T-joints are increasingly broadly applied in aviation and aerospace industries due to the need for lightweight design. This paper deals with the lightweight optimization of a typical adhesively bonded Nomex honeycomb-core sandwich T-joint in side bending load, considering the strength constraints. The optimization problem, with discrete and continuous design variables, is a compound optimization problem involving size optimization for the whole structure and stacking sequence optimization for multiple variable-thickness composite laminates. A self-adjusted parametric modeling with user-defined suppression process is proposed. An integrated combination of progressive damage model methodology, self-adjusted parametric modeling with user-defined suppression process and multi-island genetic algorithm is applied for the optimization problem. The optimization result showed 30.75% weight reduction compared to the original T-joint configuration. On the basis of history data, we investigate the correlations between design variables and concerned constraint variables.
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Bozhevolnaya, E., Lyckegaard, A., Thomsen, O.T.: Novel design of foam core junctions in sandwich panels. Compos. B. Eng. 39, 185–190 (2008)
Stickler, P.B., Ramulu, M.: Investigation of mechanical behavior of transverse stitched T-joints with PR520 resin in flexure and tension. Compos. Struct. 52, 307–314 (2001)
Guo, S., Morishima, R.: Numerical analysis and experiment of composite sandwich T-joints subjected to pulling load. Compos. Struct. 94, 229–238 (2012)
Khalili, S.M.R., Ghaznavi, A.: Numerical analysis of adhesively bonded T-joints with structural sandwiches and study of design parameters. Int. J. Adhes. Adhes. 31, 347–356 (2011)
Khalili, S.M.R., Ghaznavi, A.: Behavior and failure modes of sandwich T-joint using cohesive zone material model and contact elements. Appl. Compos. Mater. 20, 41–54 (2013)
Khosravani, M.R.: Influences of defects on the performance of adhesively bonded sandwich joints. Key. Eng. Mater. 89, 45–50 (2018)
Khosravani, M.R., Anders, D., Weinberg, K.: Influence of strain rate on fracture behavior of sandwich composite T-joints. Eur. J. Mech. A. Solids (2019). https://doi.org/10.1016/j.euromechsol.2019.103821
Sun., C.T.: Failure modes and load transfer in sandwich T-joints. J. Sandw. Struct. Mater. 2, 225–245 (2000)
Saeid, A.A., Donaldson, S.L.: Experimental and finite element investigations of damage resistance in biomimetic composite sandwich T-joints. Materials. 9, 510 (2016)
Ghiasi, H., Pasini, D., Lessard, L.: Optimum stacking sequence design of composite materials Part I: Constant stiffness design. Compos. Struct. 90, 1–11 (2009)
Ghiasi, H., Fayazbakhsh, K., Pasini, D., et al.: Optimum stacking sequence design of composite materials Part II: Variable stiffness design. Compos. Struct. 93, 1–13 (2011)
Naik, G.N., Gopalakrishnan, S., Ganguli, R.: Design optimization of composites using genetic algorithms and failure mechanism based failure criterion. Compos. Struct. 83, 354–367 (2008)
Zhu, X., He, R., Lu, X., et al.: A optimization technique for the composite strut using genetic algorithms. Mater. Design. 65, 482–488 (2015)
Yang, J., Song, B., Zhong, X., et al.: Optimal design of blended composite laminate structures using ply drop sequence. Compos. Struct. 135, 30–37 (2016)
Lund, E., Stegmann, J.: On structural optimization of composite shell structures using a discrete constitutive parametrization. Wind Energy. 8, 109–124 (2005)
Matsuzaki, R., Todoroki, A.: Stacking-sequence optimization using fractal branch-and-bound method for unsymmetrical laminates. Compos. Struct. 78, 537–550 (2007)
Zhao, J., Fan, X., Sun, Q.: Stacking sequence optimization of composite laminates for maximum buckling load using permutation search algorithm. Compos. Struct. 121, 225–236 (2015)
Albazzan, M.A., Harik, R., Tatting, B.F., et al.: Efficient design optimization of nonconventional laminated composites using lamination parameters: A state of the art. Compos. Struct. 209, 362–374 (2019)
Niu, Y., Xu, X., Guo, S.: Structural optimization design of typical adhesive bonded sandwich T-joints based on progressive damage analysis and multi-island genetic algorithm. J. Sandwich Struct. Mater. (2020). https://doi.org/10.1177/1099636220962278
Holland, J.H.: Genetic Algorithms and the Optimal Allocation of Trials. SIAM. J. Comput. 2, 88–105 (1973)
Miki, M., Hiroyasu, T., Kaneko, M., et al.: A parallel genetic algorithm with distributed environment scheme. Proceedings of International Conference on Systems, Man, and Cybernetics. 1, 695–700 (1999). https://doi.org/10.1109/ICSMC.1999.814176
Azzi, V.D., Tsai, S.W.: Anisotropic strength of composites. Exp. Mech. 5, 283–288 (1965)
Tsai, S.W., Wu, E.M.: A general theory of strength for anisotropic materials. J. Compos. Mater. 5, 58–80 (1971)
Hoffman, O.: The brittle strength of orthotropic materials. J. Compos. Mater. 1, 200–206 (1967)
Hashin, Z.: Failure criteria for unidirectional fiber composites. J. Appl. Mech. 47, 329–334 (1980)
Hashin, Z., Rotem, A.: A fatigue failure criterion for fiber reinforced materials. J. Compos. Mater. 7, 448–464 (1973)
Puck, A., Schürmann, H.: Failure analysis of FRP laminates by means of physically based phenomenological models. Compos. Sci. Technol. 58, 1045–1067 (1998)
Puck, A., Schürmann, H.: Failure analysis of FRP laminates by means of physically based phenomenological models. Compos. Sci. Technol. 62, 1633–1662 (2002)
Cuntze, R.G., Freund, A.: The predictive capability of failure mode concept-based strength criteria for multidirectional laminates. Part A. Compos. Sci. Technol. 64, 343–377 (2004)
Cuntze, R.G.: The predictive capability of failure mode concept-based strength criteria for multidirectional laminates. Part B. Compos. Sci. Technol. 63, 487–516 (2004)
Cuntze, R.: The predictive capability of failure mode concept-based strength conditions for laminates composed of unidirectional laminae under static triaxial stress states. J. Compos. Mater. 46(19–20), 2563–2594 (2012)
Labeas, G.N., Belesis, S.D., Diamantakos, I., et al.: Adaptative progressive damage modeling for large-scale composite structures. Int. J. Damage. Mech. 21, 441–462 (2012)
Hou, J.P., Petrinic, N., Ruiz, C.: A delamination criterion for laminated composites under low-velocity impact. Compos. Sci. Technol. 61, 2069–2074 (2001)
Hou, J.P., Petrinic, N., Ruiz, C., et al.: Prediction of impact damage in composite plates. Compos. Sci. Technol. 60, 273–281 (2000)
Camanho, P.P.: A progressive damage model for mechanically fastened joints in composite laminates. J. Compos. Mater. 33, 2248–2280 (1999)
Camanho, P.P., Davila, C.G.: Mixed-mode decohesion finite elements for the simulation of delamination in composite materials. NASA/TM-2002–211737, pp. 1–37 (2002)
Sane, A.U., Padole, P.M., Manjunatha, C.M., et al.: Mixed mode cohesive zone modeling and analysis of adhesively bonded composite T-joint under pull-out load. J. Braz. Soc. Mech. Sci. 40, 167 (2018)
Xu, Y.Y., Cheng, X.Q., Zhang, J.K., Li, Z.N.: Study on composite honeycomb sandwich structure formed t-joints under tensile load. Engineering Mechanics. 32, 243–256 (2015). https://doi.org/10.6052/j.issn.1000-4750.2013.12.1236
Stein, N., Rosendahl, P.L., Becker, W.: Modelling load transfer and mixed-mode fracture of ductile adhesive composite joints. Int. J. Adhes. Adhes. 82, 299–310 (2018)
Gleich, D.M., Van Tooren, M.J.L., Beukers, A.: Analysis and evaluation of bondline thickness effects on failure load in adhesively bonded structures. J. Adhes. Sci. Technol. 15, 1091–1101 (2001)
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Niu, Y., Xu, X. & Guo, S. Structural Optimization Design of a Typical Adhesive Bonded Honeycomb-Core Sandwich T-joint in Side Bending Using Multi-Island Genetic Algorithm. Appl Compos Mater 28, 1039–1066 (2021). https://doi.org/10.1007/s10443-021-09882-2
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DOI: https://doi.org/10.1007/s10443-021-09882-2