Producing safe, reliable, and economical designs, nuclear power systems engineering involves a combination of structural and fluid disciplines. The first generation of reactors has been designed and validated using first and foremost extensive physical testing, combined with basic numerical or semi-analytical approaches. As the fourth generation of reactors is blooming, design and validation tasks are primarily performed using numerical tools, and physical testing is reserved for the later stages of the design process or even postponed to the commissioning phase. Simultaneously, many engineering companies have grown larger teams, leading organizations to unwillingly develop silo effects, further widening the cultural gap between numerical and testing specialists.
This lecture will provide an overview of the possibilities for obtaining real-world information, with a special emphasis on dynamic phenomena. Instrumentation, signal processing and identification methods will be covered and illustrated with actual use cases.
Experimental characterization is not only desirable for consolidating models, but is in fact mandatory to identify limitations intrinsic to numerical approaches. Those deviations from idealized situations can only be observed in real-world, hence physical tests results are the sole source of information for developing a sound engineering judgment and in-fine, safety analyses with just the right level of detail.
Presentedby
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo.
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo.
