@article{XING2026, 
author = {Zhou XING and Yun TU and QingFeng WANG},
title = {Prediction of the fatigue damage life of industrial pipelines based on the equivalent power spectral density (PSD)},
year = {2026},
journal = {Journal of Beijing University of Chemical Technology (Natural Science Edition)},
volume = {53},
number = {4},
pages = {97-104},
keywords = {fatigue damage, equivalent power spectral density (PSD), life prediction, pipeline, frequency-domain method},
url = {https://www.sciopen.com/article/10.13543/j.bhxbzr.2026.04.011},
doi = {10.13543/j.bhxbzr.2026.04.011},
abstract = {To address the challenges of flow-induced vibration monitoring and prevention in typical industrial pipelines, a method for predicting fatigue life based on the equivalent power spectral density is proposed. First, a fatigue monitoring model is established, and a pipeline vibration test bench is constructed through simulation. Using experimental results as examples, fatigue life estimates are calculated using both the time-domain rain-flow counting method and frequency-domain methods, and their performances are compared. The results show that the frequency-domain method based on equivalent acceleration power spectral density effectively reduces spectral leakage and provides better prediction of fatigue life for pipelines than traditional frequency-domain approaches. On average, the prediction accuracy improves by 3.53%, and the mean prediction error is the lowest. This study offers an effective approach for predicting the remaining fatigue life of industrial pipelines and offers a novel method for fatigue damage assessment.}
}