3D reconstruction of two-phase random heterogeneous material from 2D sections: An approach via genetic algorithms

• Published in: Nuclear engineering and technology Vol. 53; no. 9; pp. 2968 - 2976
• Main Authors: Pizzocri, D., Genoni, R., Antonello, F., Barani, T., Cappia, F.
• Format: Journal Article
• Language: English
• Published: United States Elsevier B.V 01.09.2021; Elsevier; 한국원자력학회
• Subjects: 3D microstructure reconstruction; Genetic algorithm; Nuclear fuel; NUCLEAR FUEL CYCLE AND FUEL MATERIALS; Porosity; Random heterogeneous material; 원자력공학; 3D microstructure reconstruction; Random heterogeneous material; Nuclear fuel; Porosity; Genetic algorithm

This paper introduces a method to reconstruct the three-dimensional (3D) microstructure of two-phase materials, e.g., porous materials such as highly irradiated nuclear fuel, from two-dimensional (2D) sections via a multi-objective optimization genetic algorithm. The optimization is based on the com...