Simulation of impact toughness with the effect of temperature and irradiation in steels-Reference-Cited by-同舟云学术

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Simulation of impact toughness with the effect of temperature and irradiation in steels

Published:2019-02 Issue:1 Volume:51 Page:221-227
ISSN:1738-5733
Container-title:Nuclear Engineering and Technology
language:en
Short-container-title:Nuclear Engineering and Technology

Author:

Wang Chenchong,Wang Jinliang,Li Yuhao,Zhang Chi,Xu Wei

Funder

National Natural Science Foundation of China

Basic scientific research funds of Northeastern University

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference32 articles.

1. Current status and future prospective of advanced radiation resistant oxide dispersion strengthened steel (ARROS) development for nuclear reactor system applications;Kim;Nucl. Eng. Technol.,2016

2. Microstructure evolution and yield strength of CLAM steel in low irradiation condition;Wang;Mater. Sci. Eng. A,2017

3. Effect of thermal aging on microstructure and mechanical properties of China low-activation martensitic steel at 550 degrees C;Wang;Nucl. Eng. Technol.,2016

4. Hydrogen's influence on reduced activation ferritic/martensitic steels' elastic properties: density functional theory combined with experiment;Zhu;Nucl. Eng. Technol.,2017

5. Multiscale simulation of yield strength in reduced-activation ferritic/martensitic steel;Wang;Nucl. Eng. Technol.,2017

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1. Mechanism analysis of grain refinement caused by deformation and the improvement of strength and ductility of CLAM steel;Journal of Nuclear Materials;2024-10

2. Machine Learning–Based Prediction of Irradiation-Induced Swelling from Synergistic Effects of Helium and Hydrogen;Fusion Science and Technology;2023-09-08

3. Application of cohesive zone model to large scale circumferential through-wall and 360° surface cracked pipes under static and dynamic loadings;Nuclear Engineering and Technology;2021-03

4. Composition and processing of direct-quench hot rolled steels with ultrahigh strength exceeding GPa;Journal of Iron and Steel Research International;2021-01-03

5. Tensile property prediction by feature engineering guided machine learning in reduced activation ferritic/martensitic steels;Journal of Nuclear Materials;2020-02

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