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Single-colour controls were set up alongside the test panel in order to determine background fluorescence and nonspecific binding.
The 3D-DIC technique was employed for determining the buckling and post-buckling displacement fields of the test panel.
We have executed formal validations of panel constituents and also used more innovative manners to validate the test panel using mechanistic approaches.
Impact damages are applied on skin/stringer co-bonded part and typical skin part of the test panel by drop-weight impact machine.
It was found that the test panel dimensions were outside the region where the current engineering design method for postbuckled panels is valid.
The loading applied to the test panel was a shocked pressure pulse representative of the positive phase of the air blast loading arising from a high-explosive charge.
The seven FBG sensors were installed to the surface of the test panel for the monitoring of impact damages and fatigue tests.
Parametric data obtained from the AE technique was analysed for identifying and classifying the various damage events encountered in the test panel.
That is, instead of finding the best biomarkers for each disease separately, and adding those to the test panel, predictive power is maximized by using biomarkers that signal more than one disease.
Using a subset of the test panel, more proteins fused to HaloTag7 were successfully purified than with the other tags, and these proteins were of higher yield and purity.
The damage evolutions in the test panel were also evaluated by using NDI (non-destructive inspection) technologies: AE (acoustic emission) sensors, an ultrasonic C-scan, and pulsed heating thermography.
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