Data for: Deep neural network based prediction of burst parameters for Zircaloy-4 fuel cladding during loss-of-coolant accident

Published: 07-05-2020| Version 1 | DOI: 10.17632/m9t24k36rc.1
Contributor:
SIDDHARTH SUMAN

Description

This is database of single-tube burst tests conducted on unirradiated Zircaloy-4 cladding tubes under simulated loss-of-coolant transients. This database was used for developing Deep neural network model to prediction burst parameters for Zircaloy-4 fuel cladding during loss-of-coolant accident.

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