A novel method to improve dose assessment due to severe NPP accidents based on field measurements and particle swarm optimization

作者：Pereira Claudio M N A^*; Przewodowski Filho Andre; Schirru Roberto

来源：Annals of Nuclear Energy, 2017, 110: 148-159.

DOI：10.1016/j.anucene.2017.06.027

• Dose assessment
• Source term estimation
• PSO
• Swarm optimization
• Field measurements
• Dose estimation correction

Severe nuclear power plant (NPP) accidents are those which involve significant core degradation and lead the plant to conditions more severe than a design basis accident. Under such conditions the accident progression might become unpredictable and the source term estimation, imprecise by orders of magnitude. The consequence is a dose assessment very far from the reality and a deficient decision making support. This work presents a novel approach to improve accuracy of dose estimation, based on field measurements and particle swarm optimization (PSO) algorithm. The main idea is to determine a correction matrix, which once applied to the originally estimated (incorrect) dose distribution map, generates a corrected one, which better fits to the field measurements. The proposed correction matrix is the result of a concatenation of geometric transformations and an amplification/attenuation factor, aimed to fit the shape of the original map and radiation intensities in order to match the field measurements. Finding the optimum transformations (correction matrix) is, however a complex nonlinear optimization problem, which has been successfully solved by using a PSO algorithm. Results demonstrate that PSO was able to find good correction transformations, which can be used to better project future dose distributions and, consequently, improve decision making support.

• 出版日期2017-12