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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.28 No.5
- 발행연도
- 2018.1
- 수록면
- 517 - 525 (9page)
이용수
초록· 키워드
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The specimens made by Z2CND18.12N austenitic stainless steel were conducted on a 100 kN closed loop servo hydraulic tension-compression testing machine with a digital controller. Uniaxial tension and uniaxial ratcheting effect tests were carried out at 25°C. Moreover, Uniaxial tension tests were conducted at 150°C, 250°C and 350°C. Based on these experimental data, the prediction models of stress-strain curve and the relationship of ratcheting strain and number of cycles were established by the algorithm principle of BP neural network. The results indicated that the predicted results of neural network model were in well agreement with experimental data. It was found that the BP neural network model had high validity and accuracy.
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참고문헌 (29)
참고문헌 신청
Chen, X.H. / 2014 / Study on ratcheting and shakedown of pressure pipes under cyclic loading
Xiaohui Chen / 2016 / Evaluation of AF type cyclic plasticity models in ratcheting simulation of pressurized elbow pipes under reversed bending / Steel and Composite Structures, An International Journal 21(4):703~753
Ding, Y.R. / 2014 / The use of combined neural networks and genetic algorithms for prediction of river water quality
Fotovati, A. / 2014 / Artificial Neural Networks Investigation of Indentation Force Effects on Nano- and Microhardness of Dual Phase Steels / J. Metall. :1~11
Guo, X.L. / 2013 / Application of BP neural network for on-line diagnostics of continuous casting slab quality / J. Iron Steel Res. Int. 25(7):58~62
Xiaohui Chen / 2016 / Evaluation of AF type cyclic plasticity models in ratcheting simulation of pressurized elbow pipes under reversed bending / Steel and Composite Structures, An International Journal 21(4):703~753
Ding, Y.R. / 2014 / The use of combined neural networks and genetic algorithms for prediction of river water quality
Fotovati, A. / 2014 / Artificial Neural Networks Investigation of Indentation Force Effects on Nano- and Microhardness of Dual Phase Steels / J. Metall. :1~11
Guo, X.L. / 2013 / Application of BP neural network for on-line diagnostics of continuous casting slab quality / J. Iron Steel Res. Int. 25(7):58~62
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