Forecasting of Nuclear Power Plant Burst Factors using Radial Basis Neural Network throughout Loss of Coolant Accident-Reference-Cited by-同舟云学术

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Forecasting of Nuclear Power Plant Burst Factors using Radial Basis Neural Network throughout Loss of Coolant Accident

Published:2024-04-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)
language:
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Author:

Tumpa Priyanti Paul¹,Islam Md. Saiful¹,Miah Md. Sipon²,Niu Ming-Bo³

Affiliation:

1. Chittagong University of engineering and Technoology,Department of Electronics and Telecommunication Engineering,Chattogram,Bangladesh

2. University Carlos III of Madrid,Department of Signal Theory and Communications,Madrid,Spain

3. IVR Low-Carbon Research Institute Chang’an University,Shaanxi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10561631/10561632/10561839.pdf?arnumber=10561839

Reference22 articles.

1. Investigation of elevated-temperature mechanical properties of δ-hydride precipitate in Zircaloy-4 fuel cladding tubes using nanoindentation

2. 3D simulation of hydride-assisted crack propagation in zircaloy-4 using XFEM

3. Effects of Hydride on Crack Propagation in Zircaloy-4

4. Influence of hydrogen concentration on burst parameters of Zircaloy-4 cladding tube under simulated loss-of-coolant accident

5. Zirconium Cladding Deformation in a Steam Environment with Transient Heating

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