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探究γ辐射场分布及其变化规律对于核设施的状态监控以及核辐射的防护研究具有重要意义。获取γ辐射场的空间分布需要解决利用少量、离散且分布不规则的实验数据重构整个辐射场的难题。本文首次将Multiquadric径向基函数散乱数据插值方法应用于γ辐射场的重构,并实现了γ辐射场模拟数据重构及可视化。对于具有轴对称性的γ辐射场,在采样数据点个数相同的条件下,与数据处理软件MATLAB中自带的Spline方法得到的插值结果相比,Multiquadric方法插值结果的平均相对误差仅为前者的9.47%;对于转动π/2对称的γ辐射场,提出了一种采样数据优化方案,重构结果的平均相对误差相较于未优化采样数据的结果降低了约64.51%。
Studying the distribution and variation of γ radiation field is of great significance for the research on the condition monitoring of nuclear facilities and the protection of nuclear radiation. Obtaining the spatial distribution of the gamma radiation field requires solving the problem of reconstructing the entire radiation field using small, discrete and irregularly distributed experimental data. This paper, for the first time, applies the Multiquadric radial basis function scattered data interpolation method to the reconstruction of γ radiation field and realizes the simulation and reconstruction of γ radiation field. For the γ radiation field with axisymmetry, the average relative error of Multiquadric interpolation is only the same as the interpolation result obtained by the Spline method that comes with the data processing software MATLAB under the same number of sampling data points 9.47%. For the γ / 2 symmetrical γ radiation field, a new sampling data optimization scheme is proposed. The average relative error of the reconstructed results is reduced by 64.51% compared with the unoptimized sampling data.