Transactions of Materials and Heat Treatment

Title：Identification of creep property by small punch creep test with neural networks

Authors： Xu Yingheng Guan Kaishu Feng Xiangsai

Unit： East China University of Science and Technology

KeyWords： small punch creep test Norton creep law finite element method neural networks

ClassificationCode：TB31

year,vol(issue):pagenumber：2016,41(3):116-122

Abstract：

For small punch creep test, the creep performance of material P91 was determined by combining the finite element simulations with neural network. The material state was confirmed by the small punch creep test under a certain load. Neural networks were applied and expanded in the field of small punch creep test. The Norton creep model was used in finite element simulation based on Chakrabarty membrane stretch theory. According to Norton creep law, the database of time-displacement curves was obtained by numerical simulation under the different creep performance parameters. Then, the time-displacement curves were transferred to a trained neural network, and compared by the experiment curves. Therefore, simulation curves corresponding to experimental curve were given and regarded as the creep performance parameters of material. At last, the results obtained by the reverse method were validated through the small punch creep test.

Funds：

质检公益性行业科研专项经费资助项目（201510070）；高等学校博士学科点专项科研基金资助项目（20120074110013）

许颖恒（1989-），女，硕士研究生通讯作者：关凯书（1962-），男，博士，教授，博士生导师

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