Shape Reconstruction of Deposits Inside a Steam Generator using Eddy Current Measurements

Hugo Girardon
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Abstract

Non-destructive testing is an essential tool to assess the safety of the facilities within nuclear plants. In particular, conductive deposits on U-tubes in steam generators constitute a major danger as they may block the cooling loop. To detect these deposits, eddy-current probes are introduced inside the U-tubes to generate currents and measuring back an impedance signal. Based on the work of [9], we develop a shape optimization technique with regularized gradient descent to invert these measurements and recover the deposit shape. To deal with the unknown, and possibly complex, topological nature of the latter, we propose to model it using a level set function as introduced in [8] and applied in [2] to shape optimization problems. The methodology is first validated on synthetic axisymmetric configurations and fast convergence is ensured by careful adaptation of the gradient steps and regularization parameters. Using the actual domain, from which the acquisitions are made, we then consider a more realistic modeling that incorporates the support plate and the presence of imperfections on the tube interior section. We employ in particular an asymptotic model to take into account these imperfections and treat them as additional unknowns in our inverse problem. A multi-objective optimization strategy, based on the use of different operating frequencies, is then developed to solve this problem. We shall present various numerical examples with synthetic data showing the viability of our approach.
利用涡流测量对蒸汽发生器内部沉积物进行形状重建
无损检测是评价核电站内设施安全性的重要手段。特别是,蒸汽发生器u型管上的导电沉积物构成主要危险,因为它们可能阻塞冷却回路。为了检测这些沉积物,在u型管中引入涡流探头来产生电流并测量回阻抗信号。基于[9]的工作,我们开发了一种正则化梯度下降的形状优化技术来反演这些测量并恢复矿床形状。为了处理后者的未知且可能复杂的拓扑性质,我们建议使用[8]中引入的水平集函数对其建模,并在[2]中应用于形状优化问题。首先在合成轴对称构型上对该方法进行了验证,并通过对梯度步长和正则化参数的精心调整保证了该方法的快速收敛。使用实际域,从中获取,然后我们考虑一个更现实的建模,包括支撑板和管内部部分存在的缺陷。我们特别采用一个渐近模型来考虑这些缺陷,并将它们视为反问题中的附加未知数。针对这一问题,提出了一种基于不同工作频率的多目标优化策略。我们将用综合数据提出各种数值例子,以表明我们的方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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