Development of Ultrasonic Knowledge Base for Quantitative Nondestructive Evaluation

定量无损评估超声知识库的开发

• 批准号: 01850105
• 负责人: KITAHARA Michihiro
• 金额: $ 3.39万
• 依托单位: Tokai University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Developmental Scientific Research (B).
• 财政年份: 1989
• 资助国家: 日本
• 起止时间: 1989 至 1990
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-01850105/
• 关键词: Nondestructive evaluation; Elastic wave theory; Knowledge base; Ultrasonics; Artificial intelligence; Neural network; AI; 超音波散乱法

A system for the ultrasonic nondestructive evaluation was proposed in this study. The system is based on the ultrasonic knowledge base by the theoretical and experimental characterizations of waveforms from defects in a structural component. The way to construct the knowledge base has the following three steps :(1) Numerical simulation of theoretical scattering waveforms from defects.(2) Calibration of theoretical waveforms by experimental waveforms.(3) Developments of knowledge base by the use of theoretical waveforms.The performance of the proposed nondestructive evaluation system was confirmed in the following process :(1) Developments of a neural network system which can extract features of waveforms.(2) Learning of network by the use of knowledge base based on theoretical waveforms.(3) Performance check of the system by the experimental data input.It was confirmed that the proposed neural network system has the versatility to evaluate the features of waveforms from defects and to detect the defects. The theoretical knowledge base calibrated by the experimental data provides wide range of synthetic data for the neural network evaluation system.

提出了一种超声无损检测系统。该系统是基于超声波知识库的理论和实验表征的波形从缺陷的结构部件。知识库的构建主要包括以下三个步骤：（1）缺陷理论散射波形的数值模拟。(2)用实验波形校正理论波形。(3)基于理论波形的知识库的开发：（1）开发了一个能够提取波形特征的神经网络系统。(2)利用基于理论波形的知识库进行网络学习。(3)通过输入实验数据对系统进行性能检验，证实了所提出的神经网络系统具有评价缺陷波形特征和检测缺陷的通用性。经实验数据标定的理论知识库为神经网络评价系统提供了广泛的综合数据。

项目成果

Kitahara, M.: "Depth determination of surface-breaking cracks by a neural network" Review of Progress in Quantitative Nondestructive Evaluation. Vol. 10. (1991)

Kitahara, M.：“通过神经网络确定表面破裂裂纹的深度”定量无损评估进展回顾。

Kitahara M.: "Backscatter from a spherical inclusion with compliant interphase characteristics" Review of Progress in Quantitative Nondestructive Evaluation(Eds.D.O.Thompson and D.E.Chimenti,Plenum Press). Vol.8. 47-54 (1989)

Kitahara M.：“具有相容相间特性的球形夹杂物的反向散射”定量无损评估进展回顾（Eds.D.O.Thompson 和 D.E.Chimenti，Plenum Press）。

Kitahara M.: "Scattering characteristics of a partially debonded compliant inclusion-matrix interphase" Review of Progress in Quantitative Nondestructive Evaluation(Eds.D.O.Thompson and D.E.Chimenti,Plenum Press). Vol.9. (1990)

Kitahara M.：“部分脱粘的顺应夹杂物基质界面相的散射特性”定量无损评估进展回顾（Eds.D.O.Thompson 和 D.E.Chimenti，Plenum Press）。

Kitahara, M.: "Boundary-integral equation method for elastodynamic scattering by a compact inhomogeneity" Computational Mechanics. Vol. 5. 129-144 (1989)

Kitahara, M.：“致密非均匀性弹性动力散射的边界积分方程方法”计算力学。

Ogi, T.: "A neural network applied to crack type recognition" Review of Progress in Quantitative Nondestructive Evaluation. Vol. 9. 689-696 (1990)

Ogi, T.：“应用于裂纹类型识别的神经网络”定量无损评估进展回顾。