Nondestructive Evaluation of Fatigue Damage and Conditions Using Magnetic Properties and Magnetomechanical Acoustic Emission. Application of Neural Network for Low Cycle Fatigue.

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  • 磁気特性と磁気ＡＥによる疲労損傷度と疲労条件の評価　　低サイクル疲労へのニューラルネットワークの適用
  • ジキ トクセイ ト ジキ AE ニ ヨル ヒロウ ソンショウド ト ヒロウ ジ

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Abstract

It is very important to evaluate damage levels of structures for prediction of fatigue fracture. Purpose of this study is to develop a methodology for evaluating fatigue damage and conditions by a nondestructive inspection technique. Low cycle fatigue tests were conducted for carbon steel specimens (0.15 and 0.45 wt.% carbon) under various fatigue conditions. During the tests, magnetic properties and a magnetomechanical acoustic emission were measured at predetermined number of cycles. The test results exhibited 480 pattern sets which describe the relationship between the measured parameters and the fatigue information such as the damage level (Cycle ratio N/Nf), the stress amplitude (σa) ann the stress ratio (R). A nondestructive evaluation system consisting of measuring and a neural network was proposed. The effectiveness of this system was demonstrated by comparing results of the neural network with experimental data obtained from the fatigue tests.

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