Damage tolerance optimization of composite stringer run-out under tensile load

Abstract

Please cite this article as: Badalló, P., Trias, D., Lindgaard, E., Damage tolerance optimization of composite stringer run-out under tensile load, Composite Structures (2015), doi: http://dx.doi.org/10. 1016/j.compstruct.2015.07.025 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractStringer run-outs are a common solution to achieve the necessary strength, stiffness and geometric requirements of some structural solutions. The mechanical behaviour and complexity of such design details requires careful and thorough studies to ensure the structural integrity of the structure. The influence of some geometric variables of the run-out in the interface of the set stringer-panel is crucial to avoid the onset and growth of delamination cracks. In this study, a damage tolerant design of a stringer run-out is achieved by a process of design optimization and surrogate modelling techniques. A parametric finite element model created with python was used to generate a number of different geometrical designs of the stringer run-out. The relevant information of these models was adjusted using Radial Basis Functions (RBF). Finally, the optimization problem was solved using Quasi-Newton method and Genetic Algorithms. In the solution process, the RBF were used to compute the objective function: ratio between the energy release rate and the critical energy release rate according to the Benzeggagh-Kenane mixed mode criterion. Some design guidelines to obtain a damage tolerant stringer-panel interface have been derived from the results.

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“…For instance, the software used for the mechanical analysis can then be used iteratively with an optimisation software. Alternatively, various mechanical FE models corresponding to various configurations that span the entire design space can be created and ran, and the optimisation can then be done using surrogate models [17][18][19][20] that use the sampled simulation data.…”

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