Nuclear Power Plant Burst Parameters Prediction During a Loss-of-Coolant Accident Using an Artificial Neural Network
Several researchers have concentrated on analyzing the nature of fuel claddings through performing burst experiments on computed loss-of-coolant accident scenarios and creating practical and conceptual computer programs. In comparison to experimental observation, the established burst criteria (a) a...
| Main Authors: | Tumpa, P.P., Saiful Islam, M., May, Z., Khorshed Alam, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28915 / |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120849564&doi=10.1007%2f978-981-16-6636-0_31&partnerID=40&md5=4ed1fdf5b8a0397cc285d0a646c8ed36 http://eprints.utp.edu.my/28915/ |
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