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Validation of an experimental technique with the physically based global method

Magiera J.

Computer Assisted Methods in Engineering and Science

2012

Vol. 19, no. 4

369-382

Validation of an experimental approach requires that both m odel and data errors are proved to be within acceptable ranges. In case of destructive testing none of th e classic, statistically based methods can be applied for that task due to the lack of independent data seri es required for building data statistics. The aim of the paper is to present a non-statistical methodology for performing such validation, developed within the framework of physically based approximation (PB A). It has been developed to validate a neutron diffraction based experimental-numerical approac h applied for studying 3D rail residual stress. It is for the PBA technique’s capability to provide high qualit y physically reasonable data fits for one data set only, treated here as higher order reference fields that m ade it possible to develop this methodology and perform error analysis/validation. In many ways this aproach is analogical to Zienkiewicz-Zhu type of error estimators, and its performance will be demonstrated for a defective RE136 rail sample that was installed in a US DOT test track.