A review on optimization methods for nuclear reactor fuel reloading analysis

Z Li, J Wang, M Ding - Nuclear Engineering and Design, 2022 - Elsevier
Nuclear reactor fuel reloading optimization is a hot issue in the field of nuclear engineering.
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …

Application of Data-Driven technology in nuclear Engineering: prediction, classification and design optimization

Q Hong, M Jun, W Bo, T Sichao, Z Jiayi, L Biao… - Annals of Nuclear …, 2023 - Elsevier
Currently, workers in nuclear power plants need to monitor plant data in real time. In the
event of an emergency, due to human subjectivity, the operator cannot make accurate …

Development and research of triangle-filter convolution neural network for fuel reloading optimization of block-type HTGRs

Z Li, J Wang, J Huang, M Ding - Applied Soft Computing, 2023 - Elsevier
The problem of fuel reloading optimization is very demanding, which requires to search for
the optimal suitable core configuration within a very huge solution space. To solve this …

Comparative study of meta-heuristic algorithms for reactor fuel reloading optimization based on the developed BP-ANN calculation method

Z Li, J Huang, J Wang, M Ding - Annals of Nuclear Energy, 2022 - Elsevier
In order to obtain optimal core configurations, the problems of fuel reloading optimization
must be solved in nuclear engineering field. This problem is a combinational optimization …

Artificial neural network in fibres length prediction for high precision control of cellulose refining

D Almonti, G Baiocco, V Tagliaferri, N Ucciardello - Materials, 2019 - mdpi.com
Paper, a web of interconnected cellulose fibres, is widely used as a base substrate. It has
been applied in several applications since it features interesting properties, such as …

Prediction of laser drilled hole geometries from linear cutting operation by way of artificial neural networks

G Baiocco, S Genna, C Leone… - The International Journal of …, 2021 - Springer
This paper deals on artificial intelligence (AI) application for the estimation of kerf geometry
and hole diameters for laser micro-cutting and laser micro-drilling operations. To this aim …

[HTML][HTML] Improving the classification performance on imbalanced data sets via new hybrid parameterisation model

M Mohamad, A Selamat, IM Subroto… - Journal of King Saud …, 2021 - Elsevier
The aim of this work is to analyse the performance of the new proposed hybrid
parameterisation model in handling problematic data. Three types of problematic data will …

Feasibility study on application of an artificial neural network for automatic design of a reactor core at the Kyoto University Critical Assembly

SH Kim, SG Shin, S Han, MH Kim, CH Pyeon - Progress in Nuclear Energy, 2020 - Elsevier
Designing reactor cores by means of an artificial neural network is a difficult challenge,
because there are many variables in the core configuration. Especially, for designing a new …

Optimization of Core Parameters Based on Artificial Neural Network Surrogate Model

S Chen, P Ding, S Hu, W Xia… - International …, 2022 - asmedigitalcollection.asme.org
The methodology of artificial intelligence (AI), particularly artificial neural network (ANN),
would be in favor of nuclear energy system development. These ANN simulators may …

Design of LEU Fuel Assembly Using Artificial Neural Network at Kyoto University Critical Assembly

SH Kim, MH Kim, CH Pyeon - 2018 - inis.iaea.org
[en] For the effective core experiments, the combination of the fuels and moderator plates
should be optimized for each experimental purpose as well as reaching the criticality …