Artificial intelligence in nuclear industry: Chimera or solution?

S Suman - Journal of Cleaner Production, 2021 - Elsevier
Nuclear industry is in crisis and innovation is the central theme of its survival in future.
Artificial intelligence has made a quantum leap in last few years. This paper …

A survey of multi-objective optimization methods and their applications for nuclear scientists and engineers

RH Stewart, TS Palmer, B DuPont - Progress in Nuclear Energy, 2021 - Elsevier
Problems in nuclear engineering–such as reactor core design–involve a multitude of design
variables including fuel or assembly configurations; all of which require careful …

Multi-objective optimization design of TRISO-based fully ceramic microencapsulated fuel

C Zhang, J Liu, X Li, C Wei, C Zheng, H Liao… - Journal of Nuclear …, 2023 - Elsevier
Abstract Fully Ceramic Microencapsulated (FCM) fuel is a new type of material in nuclear
energy field. It has become a promising accident tolerant fuel (ATF) candidate due to its …

Optimization of IEA-R1 reactor core parameters using the particle swarm algorithm

TA dos Santos, FA Genezini, GL de Stefani - Nuclear Engineering and …, 2023 - Elsevier
This work aims on the development of a FORTRAN 90 code to solve the Loading Pattern
Optimization Problem (LPOP) in the IEA-R1 research reactor at the Nuclear and Energy …

PWR core loading pattern optimization with adaptive genetic algorithm

C So, IM Ho, JS Chae, KH Hong - Annals of Nuclear Energy, 2021 - Elsevier
In this paper, a new adaptive genetic algorithm (AGA) is proposed for the loading pattern
optimization (LPO) of the pressurized water reactor (PWR) core. The tournament selection …

Small modular reactor full scope core optimization using Cuckoo Optimization Algorithm

R Akbari, DR Ochbelagh, A Gharib, JR Maiorino… - Progress in Nuclear …, 2020 - Elsevier
Abstract Small Modular Reactors (SMRs) with their excellent safety and economic features
will be in high demand in the near future. Most SMR designs have longer burn-up cycle …

A novel imperialist competitive algorithm with multi-elite individuals guidance for multi-object unrelated parallel machine scheduling problem

M Wang, G Pan - IEEE Access, 2019 - ieeexplore.ieee.org
In this study unrelated parallel machine scheduling problem (UPMSP) with preventive
maintenance (PM) and sequence dependent setup times (SDST) is investigated. A novel …

SMART reactor core design optimization based on FCM fuel

S Kamalpour, H Khalafi - Nuclear Engineering and Design, 2021 - Elsevier
Fully ceramic microencapsulated (FCM) fuel is originally proposed for replacement in light
water reactors (LWRs) to enhance thermal hydraulic performance and reactor safety …

Artificial intelligence (AI) in the nuclear power plants: who is liable when AI fails to perform

R Karim, F Muhammad-Sukki - The Handbook of Energy Policy, 2023 - Springer
The sheer magnitude of process parameters and interactions between the systems in a
nuclear power plant's operation poses complications for operators. The operations became …

Integral form of the control rod calibration curve in the new core configuration of HWZPR using rod insertion method

P Kaviani, J Mokhtari, SM Mirvakili - Progress in Nuclear Energy, 2020 - Elsevier
The reactivity worth and calibration curve of control rods are important physical parameters
on account of nuclear safety of the reactor core. Reactivity characteristics of control rods …