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Fast Procedure for Crack Reconstruction in Nonlinear Materials using FEM-BEM with Polarization Method and Neural Networks

机译：带有极化方法和神经网络的FEM-BEM快速修复非线性材料中的裂纹

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摘要

A FEM-BEM A-based formulation for static nonlinear magnetic field was implemented using Polarization method and various computation accelerating techniques. Magnetic Flux Leakage simulated signals are used for cracks reconstruction, using a Neural Network approach. Both direct simulation of nonlinear magnetic field phenomena and Neural Networks-based inversion techniques are performed. Numerical results for the inversion are presented.

机译：利用极化方法和各种计算加速技术，实现了基于FEM-BEM A的静态非线性磁场公式。磁通量泄漏模拟信号通过神经网络方法用于裂缝重建。既可以对非线性磁场现象进行直接仿真，也可以进行基于神经网络的反演技术。给出了反演的数值结果。

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来源
《Applied electromagnetics(III)》|2001年|p.301-304|共4页
会议地点 Hangzhou(CN);Hangzhou(CN)
作者
Gabriel Preda; Bogdan Cranganu-Cretu; Ovidiu Mihalache; Florea I. Hantila; Zhenmao Chen; Kenzo Miya;
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作者单位

IIU, SB Bldg. 801, 1-4-6 Nezu, Bunkyo-ku, Tokyo, 113-0031 Japan;

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原文格式 PDF
正文语种 eng
中图分类物理学;
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4. Fast Procedure for Crack Reconstruction in Nonlinear Materials using FEM-BEM with Polarization Method and Neural Networks [C] . Applied electromagnetics(III) . 2001

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Fast Procedure for Crack Reconstruction in Nonlinear Materials using FEM-BEM with Polarization Method and Neural Networks

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