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頁籤選單縮合
題名 | A Stochastic Neuro-Net Methodology for the Assessments of the Crack Propagation Rates of the Recirculation Pipes in Nuclear Power Plants= |
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作者 | 呂百川; |
期刊 | 聯合學報 |
出版日期 | 19971100 |
卷期 | 15 1997.11[民86.11] |
頁次 | 頁263-288 |
分類號 | 449.2 |
語文 | eng |
關鍵詞 | 不銹鋼; 類神經網路; Type 304 stainless steel; IGSCC; Crack growth rate; Artificial neural network; |
英文摘要 | An artificial neural network (ANN) with the learning rule of a stochastic process has been developed to describe intergranular stress corrosion cracking (IGSCC) in sensitized Type 304 stainless steel in high temperature aqueous solutions. The ANN predictions of crack growth rate (CGR) versus oxygen concentration, flow velocity, stress intensity, hydrogen concentration and ECP have been successfully presented. Finally, the steady state crack growth rate predicted by the ANN at low ECP values has been verified by Wilkinson's theory. |
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