A data-driven Bayesian optimisation framework for the design and stacking sequence selection of increased notched strength laminates
| Autor: | Andrew Rhead, T.R.C. Chuaqui, Carl Scarth, Richard Butler |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Mathematical optimization
Materials science Industrial and Manufacturing Engineering Data-driven Surrogate model Damage mechanics Kriging medicine Optimisation Composite material Aerospace Stress concentrations business.industry Finite element analysis (FEA) Mechanical Engineering Stiffness Composite laminates Finite element method Mechanics of Materials Ceramics and Composites Strength medicine.symptom business |
| Zdroj: | Chuaqui, T R C, Rhead, A T, Butler, R & Scarth, C 2021, ' A data-driven Bayesian optimisation framework for the design and stacking sequence selection of increased notched strength laminates ', Composites Part B: Engineering, vol. 226, 109347 . https://doi.org/10.1016/j.compositesb.2021.109347 |
| DOI: | 10.1016/j.compositesb.2021.109347 |
| Popis: | A novel Bayesian optimisation framework is proposed for the design of stronger stacking sequences in composite laminates. The framework is the first to incorporate high-fidelity progressive damage finite element modelling in a data-driven optimisation methodology. Gaussian process regression is used as a surrogate for the finite element model, minimising the number of computationally expensive objective function evaluations. The case of open-hole tensile strength is investigated and used as an example problem, considering typical aerospace design constraints, such as in-plane stiffness, balance of plies and laminate symmetry about the mid-plane. The framework includes a methodology that applies the design constraints without jeopardising surrogate model performance, ensuring that good feasible solutions are found. Three case studies are conducted, considering standard and non-standard angle laminates, and on-axis and misaligned loading, illustrating the benefits of the optimisation framework and its application as a general tool to efficiently establish aerospace design guidelines. |
| Databáze: | OpenAIRE |
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