Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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3D reconstruction of two-phase random heterogeneous material from 2D sections: An approach via genetic algorithms

  • Pizzocri, D. (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • Genoni, R. (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • Antonello, F. (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • Barani, T. (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • Cappia, F. (Idaho National Laboratory, Characterization and Advanced PIE Division)
  • Received : 2020.10.14
  • Accepted : 2021.03.08
  • Published : 2021.09.25
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Abstract

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 comparison between the reference and reconstructed 2D sections on specific target properties, i.e., 2D pore number, and mean value and standard deviation of the pore-size distribution. This represents a multi-objective fitness function subject to weaker hypotheses compared to state-of-the-art methods based on n-points correlations, allowing for a broader range of application. The effectiveness of the proposed method is demonstrated on synthetic data and compared with state-of-the-art methods adopting a fitness based on 2D correlations. The method here developed can be used as a cost-effective tool to reconstruct the pore structure in highly irradiated materials using 2D experimental data.

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Acknowledgement

One of the authors would like to acknowledge financial support from the U.S. Department of Energy (DOE), Office of Nuclear Energy under DOE Idaho Operations Office Contract DE-AC07-051D14517 as part of the Nuclear Science User Facilities (NSUF), Project 17-1091. The authors greatly appreciate the reviewers who have dedicated their considerable time and expertise to this manuscript.

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