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Project

Development of DIC-based finite element model validation strategies

MatchID has developed a methodology to validate finite element (FE) models from Digital Image Correlation (DIC) data. DIC is an optical measurement technique that allows the quantification of displacements and strains at the surface of any kind of material under any kind of loading. The underpinning novelty of the validation methodology is the fact that it takes into account the filtering effects of DIC, which is a compulsory step to obtain robust validation. As such, it is less dependent on the choice of the DIC parameters. This new validation cycle, outlined below, is currently adopted in MatchID ‘s finite element validation module. The first objective of this PhD is to thoroughly study and optimise this fundamentally new finite element validation approach. Specific challenging conditions will be investigated, ranging from small deformations in non-isotropic materials (e.g. composites) up to very large strains (elastomers/polymers), and this in both quasi-static and dynamic loading circumstances. Specific attention will be put on the effect of the boundary conditions and geometry alignment on the performance of the validation cycle. As a secondary objective, this PhD will focus on the development of a new efficient DIC-based methodology for the quantification of heterogeneous model properties in finite element models based on the above validation technique. The PhD encompasses both a large portion of simulation and experimental work. Deliveries can be subdivided into: 1. A scientific study on the validity and restrictions of this unique validation approach supported by a large set of public available demo-data 2. an unprecedented approach for detection and quantification of material heterogeneity 3. creation of a validation roadmap including improvement recommendations

Date:1 Sep 2018 →  31 Jan 2023
Keywords:Finite element method, Digital image correlation, Numerical model validation, Numerical methods
Disciplines:Manufacturing engineering, Other mechanical and manufacturing engineering, Product development, Control systems, robotics and automation, Design theories and methods, Mechatronics and robotics, Computer theory
Project type:PhD project