Research on Strong Dynamic Load Transfer Characteristics of Nuclear Pipe

Lu Xifeng; Wang Xinjun; Xiong Furui; Bai Xiaoming; He Feng; Li Bingjin; Yang Kang

doi:10.13832/j.jnpe.2023.S2.0098

Volume 44 Issue S2

Dec. 2023

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Lu Xifeng, Wang Xinjun, Xiong Furui, Bai Xiaoming, He Feng, Li Bingjin, Yang Kang. Research on Strong Dynamic Load Transfer Characteristics of Nuclear Pipe[J]. Nuclear Power Engineering, 2023, 44(S2): 98-103. doi: 10.13832/j.jnpe.2023.S2.0098

Citation:

Lu Xifeng, Wang Xinjun, Xiong Furui, Bai Xiaoming, He Feng, Li Bingjin, Yang Kang. Research on Strong Dynamic Load Transfer Characteristics of Nuclear Pipe[J]. Nuclear Power Engineering, 2023, 44(S2): 98-103. doi: 10.13832/j.jnpe.2023.S2.0098

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Research on Strong Dynamic Load Transfer Characteristics of Nuclear Pipe

doi: 10.13832/j.jnpe.2023.S2.0098

Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2023-07-11
Rev Recd Date: 2023-08-30
Publish Date: 2023-12-30

Abstract

Abstract

A strain rate-depended elastic-plastic constitutive model is constructed based on the mechanical properties of main pipe material at different temperatures and strain rates. The main factors affecting the precision of elastic-plastic analysis method are obtained by simulation of pipe drop test, and an elastic-plastic dynamic load transfer analysis method based on the strain rate-dependent constitutive model is established. The dynamic response analysis of pipe is carried out by using this method, and the calculated results of response acceleration and stress are compared with the results of elastic analysis. The results show that the elastic-plastic analysis can effectively reduce the structural response. The method cannot only ensure the safety of structures under strong dynamic load, but also reduce the difficulty of structure design, and can be applied to the strong dynamic load transfer analysis of pipe system.
- Pipe,
- Strong dynamic load,
- Transfer characteristics,
- Strain rate effect

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References(8)

References

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