Session: NDE-03-01 NDE Reliability-Modeling and Experimental Analysis

Paper Number: 124913

124913 - Stress Detection of X80 Pipeline Based on Vibration Characteristics Analysis 

The operational environment of long-distance oil and gas pipelines is characterized by its complexity, which can lead to stress concentration and localized defects over time, consequently increasing the operational risks. One emerging technology for evaluating the structural integrity of these pipelines is non-destructive testing based on vibration characteristics. This paper elucidates the operating principle of knock detection technology. Utilizing X80 pipeline steel, we establish a finite element model for knock detection and reveal the relationship between pipeline stress state and vibration acceleration signals from small plate specimens. To validate the reliability of the finite element model, we conduct knock detection experiments under uniaxial tension. Building upon this foundation, we delve into the vibration response characteristics of small pipes under various stress conditions. Our results demonstrate a strong concurrence between the outcomes from small plate specimens and small pipes, with a close correlation between intrinsic vibration frequency and pipeline stress in vibration acceleration signals. These findings serve as a crucial stepping stone for the practical application of knock detection methods based on vibration characteristics. It is established that this method can effectively assess the stress state of X80 pipeline steel and represents a dependable approach for evaluating the serviceability of pipelines.

Presenting Author: 锦洲 李 中国石油大学，北京

Presenting Author Biography: My name is Li Jinzhou. Born in 1997, I am currently a doctoral student studying in China University of Petroleum，Beijing. In 2021, I graduated from Shandong University of Science and Technology with a master 's degree in safety engineering. I am currently engaged in research work on oil and gas pipeline inspection technology.

Authors:

Jinzhou Li China University of Petroleum,Beijing
Xiaoben Liu China University of Petroleum,Beijing
Hong Zhang China University of Petroleum,Beijing