Interlaboratory Studies

In the VANESSA project we conducted international inter-laboratory studies (ILS)  to evidence that the proposed calibration and validation procedures form a solid basis for the development of the CEN Workshop Agreement as part of the standardization process.
  • The Calibration ILS was based on a reference material for calibration of optical systems for displacement and strain field measurement.
  • The Validation ILS was based on three test cases and a protocol for comparing experimental data to results from computational solid mechanics models.

VANESSA - Validation of Numerical Engineering Simulations: Standardisation Actions

VANESSA was a support and standardisation action within the European Commission's 7th Framework Programme - NMP Theme under Grant Agreement No. NMP3-SA-2012-319116

A CEN Workshop Agreement on the validation of computational solid mechanics models was developed. The validation methodology is based on comparisons to strain fields from calibrated optical measurement systems.

Inter-Laboratory Studies (ILS) were conducted to provide evidence that the reference material - for calibration of optical systems for strain field measurement - and the validation protocol - for computational solid mechanics models - form a solid basis for future standardization.

 

Project description
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Engineering simulation is an essential feature of the design and manufacture of all engineered products at all scales. However, such simulations are not routinely validated, at least in part because technology for rapid, cost-effect validations has not been available. Two previous pre-normative European projects, SPOTS and ADVISE, have led to the development of appropriate methodologies. The goal of the VANESSA project is to establish the validation methodology and the associated calibration procedures within a standards framework and to promote the adoption of the methodology within the European industrial and scientific communities. It will deliver a CEN Workshop Agreement on the validation of computational solid mechanics models using strain fields from calibrated optical measurement systems. It is expected that this innovative approach to design validation will be taken up by EU industrial base leading to a strengthening of the position of European industry. The technical approach embedded in the validation process has the potential to stimulate improved quality control for the process chain from design, through production and certification, to service and maintenance.

Podcasts

Validation of numerical simulations - a step forward

Prof Eann Patterson from the University of Liverpool talks about validation of computational solid mechanics models using strain fields measured with camera-based systems. How much evidence do we need to accept a model as being an appropriate representation of reality? And how can we extract a meaningful quality measure from a comparison of millions of measurement and simulation data points?

 

Validation of numerical simulations - test cases from solid mechanics

Prof. George Lampeas from the University of Patras presents a generic validation procedure and applies it to a diversity of problems from solid mechanics: thermo-mechanical verification of a space antenna reflector; indentation of soft non-linear material; bending of a structural beam. These test cases were part of the Validation Interlaboratory Study.

 

Calibration of camera-based instruments

Dr Erwin Hack from Empa, Switzerland, introduces a procedure and reference materials appropriate for calibration of camera-based instruments to measure strain and deformation. Calibration is a pre-requisite for the traceability of measurement results, and for using them in a validation process for numerical simulations. More information on calibration is found here.

 

An image decomposition approach to validation

Dr Erwin Hack from Empa addresses validation of the design of engineering structures by comparing FE results to camera-based measurement data. After decomposition of the full-field data sets data compatibility is quantified by the distance of the parameters. This generic methodology allows for quantifying model quality.

MOTIVATE Publications

Publications from the MOTIVATE project.

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