Project description
Optimised testing models for safer industrial applications
The aim of the EU-funded MOTIVATE project is to integrate cyber and physical environments to reduce the cost, risk and time associated with industrial product development. Enabling technologies from a series of EU FP5 and 7 projects will be transitioned into the industrial environment and demonstrated in an aircraft ground test. A simple-to-use, robust methodology for quantifying uncertainty in measurements using digital image correlation will be developed. Image decomposition will be deployed to compare predicted and measured data fields quantifying the extent to which predictions represent reality. The project represents a significant and generic advance in methodologies used to validate computational models of structures that will benefit several industrial sectors and enable optimisation of test matrices. The result will be reduced cost and time for tests and improved reliability and credibility of simulations.
Objective
A significant step change is proposed in the way virtual and test environments are used together in an industrial environment to reduce the cost, risks and time associated with product development. Enabling technologies, which have been demonstrated in laboratory conditions during a series of EU FP 5 and 7 projects, will be transitioned into the industrial environment and demonstrated in a structural test on an aircraft subcomponent. In more detail: approaches to quantifying uncertainty in measurements of displacement and strain fields obtained using digital image correlation will be reviewed and a simple-to-use, robust methodology developed for use in industrial environments, with attention paid to the need to consider the entire measurement volume as well as within the same timescale as a structure test. In addition, recent advances in the validation of simulations, using image decomposition to compare predicted and measured data fields, will be incorporated into advanced structural test protocols taking account of uncertainties to provide statements on the extent to which the predictions represent reality, i.e. the validity of the simulations. Best practice guidelines will be developed to allow the test matrix to be optimised thus minimizing the cost and time required for tests while maximising the reliability and credibility of the simulations. The proposed research represents a significant and generic advance in the technologies and methodologies used to validate computational models of structures that will benefit a wide range of industrial sectors, including the aerospace industry where it will support the introduction of disruptive technologies, such as highly integrated structures, by enabling high fidelity simulations. A strong programme of exploitation and dissemination is proposed using traditional routes as well as digital shorts, webinars, and a blog as well as workshops linked to the revision of the prenormative document published by CEN.
Fields of science
Programme(s)
Funding Scheme
CS2-IA - Innovation actionCoordinator
L69 7ZX Liverpool
United Kingdom