Corrosion Shape Identification in Nuclear Reactor Tube Using Inverse Applied Electromagnetic Analysis

使用逆应用电磁分析识别核反应堆管的腐蚀形状

• 批准号: 07808055
• 负责人: KOJIMA Fumio
• 金额: $ 1.41万
• 依托单位: Osaka Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1996
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07808055/
• 关键词: Nuclear engineering; Data analysis; Material science; ondestructive testing; Applied mathematics; System engineering; Modeling; Functional analysis

Research has been successfully implemented for corrosion shape identification in nuclear reactor tubes with magnetic measurement data. With the background knowledge of inverse analysis in computational mechanics, feasible estimation algorithms have been proposed for quantitative nondestructive evaluations related to nuclear reactor tubes. First, the magnetic inspection process was described by the precise mathematical model based on Maxwell's equations. Simultaneously, corrosion shapes were categorized into some class of geometrical structures and approximated by appropriate bases functions. Secondly, computational schemes were doveloped for estimating the corrosion shape in sample materials using the ideas of nonlinear optimizations, including the regularization techniques, the sensitivity analysis and the genetic algorithm, etc. Proposed algorithms were tested both with simulation data and with laboratory data. Results obtained here are summarized as follows :(1) Magnetic Inverse Ana … More lysis by L-curve Approach : Measuring magnetic flux densities, the inverse problem considered here was aimed at recovering the eddy current vector potentials. Since this problem becomes ill-posed, the regularization technique which is called L-curve method was proposed.(2) Parameter Estimation for Crack Depth Reconstruction : Motivated by eddy current inspection for steam generator tubes, inverse problems of crack depth reconstruction method were considered. Material flaws can be detected using a probe impedance trajectory which is described by hybrid FEM-BEM scheme. A parameter estimation method was presented for reconstructing the shape of the crack depth. Results of experiments with laboratory data were successfully tested.(3) Material Degradation using Genetic Algorithm : An inverse computational algorithm was developed for estimating the location and number of voids inside magnetic materials. The genetic algorithm was used in order to demonstrate the feasibility of the proposed algorithm. Less

利用磁测量数据识别核反应堆管腐蚀形状的研究已成功实施。借助计算力学逆分析的背景知识，针对核反应堆管的定量无损评估提出了可行的估计算法。首先，通过基于麦克斯韦方程组的精确数学模型描述磁力检测过程。同时，腐蚀形状被分类为某类几何结构，并通过适当的基函数进行近似。其次，利用非线性优化的思想，包括正则化技术、灵敏度分析和遗传算法等，制定了估计样品材料腐蚀形状的计算方案。并用仿真数据和实验室数据对所提出的算法进行了测试。这里获得的结果总结如下：（1）L曲线方法的磁逆分析：测量磁通密度，这里考虑的逆问题旨在恢复涡流矢量势。由于该问题不适定，提出了称为L曲线法的正则化技术。(2)裂纹深度重建的参数估计：受蒸汽发生器管涡流检测的启发，考虑了裂纹深度重建方法的逆问题。可以使用由混合 FEM-BEM 方案描述的探头阻抗轨迹来检测材料缺陷。提出了一种重建裂纹深度形状​​的参数估计方法。成功测试了实验室数据的实验结果。(3)使用遗传算法进行材料降解：开发了一种逆计算算法来估计磁性材料内部空隙的位置和数量。为了证明所提算法的可行性，采用了遗传算法。较少的

项目成果

Fumio KOJIMA: "A method for corrosion profiles identification in thermal tomography" Journal of Japanese Society for Non-Destructive Inspection. 45-4. 249-253 (1996)

Fumio KOJIMA：“热断层扫描中腐蚀轮廓识别的方法”日本无损检测学会杂志。

K.TOMOEDA and T.NAKAI: "The possibility of a support spitting caused by the absorption in some nonlinear diffusion equations" Lecture Notes on the Japan-Russia Joint Seminar. (to appear). (1996)

K.TOMOEDA和T.NAKAI：“某些非线性扩散方程中吸收引起的支撑喷溅的可能性”日俄联合研讨会讲义。

K. Tomoeda and T. Nakaki: "The possibility of a support splitting caused by the absorption in some nonlinear diffusion equations" 日露合同セミナー会議録. (掲載予定). (1996)

K. Tomoeda 和 T. Nakaki：“某些非线性扩散方程中吸收引起的支撑分裂的可能性”日俄联合研讨会论文集（即将出版）（1996 年）。

Fumio KOJIMA: "Parameter estimation of flexible one-link manipulator using B-spline approximations" Proccedings of the 1995 Design Engineering Technical Conferences. 3C. 993-998 (1995)

Fumio KOJIMA：“使用 B 样条近似的柔性单连杆机械手的参数估计”1995 年设计工程技术会议记录。

Fumio KOJIMA: "Crack shape identification for eddy current testing using hybrid FEM-BEM on A-phi method" Proceedings of the Russian-Japanese Joint Seminar on the Physics and Modeling of Intelligent Materials and their Applications. (to appear). (1996)

Fumio KOJIMA：“在 A-phi 方法上使用混合 FEM-BEM 进行涡流检测的裂纹形状识别”俄罗斯-日本智能材料物理和建模及其应用联合研讨会论文集。