Efficient Multi-Scale Methods for Test Reduction in Aerospace Composites.

Lead Research Organisation: University of Bath
Department Name: Mechanical Engineering


Major penalties arise from the lack of predictive modelling and the uncertainty associated with current design, test and manufacturing methods in composites, impacting on production cost and environmental footprint. This leads to over-conservativism in design, resulting in unnecessarily high operational costs and greenhouse-gas emissions; it also necessitates over-stringent manufacturing quality requirements associated with defect-free part production policies.

This project will use an efficient and scalable Finite Element software to reduce reliance on expensive physical testing on all scales by combining mathematically rigorous multi-scale models with experimental data using state-of-the-art stochastic methods. Very rare events such as coincidental impact damage and manufacturing defects will be simulated and uncertainty quantification techniques will be used to predict probabilities of occurrence. Physically-based failure criteria will be applied within the finite element method to predict initiation of damage growth.
GKN Aerospace (UK) and Fokker (Holland) will provide industrial context and realistic problems for analysis and testing.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512424/1 01/10/2017 30/09/2021
1943253 Studentship EP/R512424/1 01/10/2017 30/09/2021 Tomas Rosas CHUAQUI