A data-driven Bayesian optimisation framework for the design and stacking sequence selection of increased notched strength laminates

Volume: 226, Pages: 109347 - 109347
Published: Dec 1, 2021
Abstract
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...
Paper Details
Title
A data-driven Bayesian optimisation framework for the design and stacking sequence selection of increased notched strength laminates
Published Date
Dec 1, 2021
Volume
226
Pages
109347 - 109347
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