论文标题
贝叶斯非参数braggg-gedge-Engitting用于中子传输应变成像
Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging
论文作者
论文摘要
能量解决的中子传播技术可以在多晶样品中提供高分辨率的应变图像，从而可以研究工程组件中的残留应变和应力。通过分析称为Bragg-Edges的特征，从这些数据中估算了菌株，而这些特征存在几种方法。对于这些方法而言，重要的是要提供应变的准确估计和准确的定量相关的不确定性。我们的贡献是双重的。首先，我们对这些现有方法进行了数值仿真分析，该分析表明，最准确的应变估计值是通过一种提供确定性估计值不准确的方法提供的。其次，提出了一种新型的贝叶斯非参数方法，用于估计布拉格 - 边缘的应变。数值仿真分析表明，该方法既提供了应变的竞争估计值，又提供了确定性的准确量化，然后介绍了两个实验数据的证明。
Energy resolved neutron transmission techniques can provide high-resolution images of strain within polycrystalline samples allowing the study of residual strain and stress in engineered components. Strain is estimated from such data by analysing features known as Bragg-edges for which several methods exist. It is important for these methods to provide both accurate estimates of strain and an accurate quantification the associated uncertainty. Our contribution is twofold. First, we present a numerical simulation analysis of these existing methods, which shows that the most accurate estimates of strain are provided by a method that provides inaccurate estimates of certainty. Second, a novel Bayesian non-parametric method for estimating strain from Bragg-edges is presented. The numerical simulation analysis indicates that this method provides both competitive estimates of strain and accurate quantification of certainty, two demonstrations on experimental data are then presented.
