A novel vibration-based fault detection approach of bolted engineering structures without reference

Quankun Li, Zengde Shao, Mingfu Liao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Because of some advantages such as low cost, detachability and reusability, bolted joints are widely applied in various open beam-like engineering structures like steel beams and train rails and closed ring-type engineering structures like steel frames and oil pipelines to keep different structural components together. However, bolted engineering structures often encounter vibration-induced joint faults like self-loosening, crack, leakage and corrosion since they are generally subjected to external dynamic loads caused by vibration environments. Joint damages would seriously affect structures' reliability and durability, and increase maintenance costs. Therefore, fault detection of bolted engineering structures is very important and necessary. For beam-like and ring-type engineering structures with single excitation and multiple damaged bolted joints, various methods monitoring changes in nonlinear structural features have been developed. To avoid the use of structural features from benchmark structures for reference during the derivation of damage indicators, a novel vibration-based fault detection approach utilizing features from damaged structures only is proposed in this study. In the new method, the dynamic model of bolted engineering structures is simplified as a general MDOF model with nonlinear elements simulating nonlinear bolt loosening faults. By changing the value of related mass, three similar equations from the damaged structure are used to form one matrix, and then the singularity of matrix is used to detect the existence and position of faults. Results from simulations on the beam-like and ring-type models with multiple damages demonstrate that the proposed approach could be an effective tool to estimate the state of bolted engineering structures.

源语言英语
主期刊名Structures and Dynamics - Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration
出版商American Society of Mechanical Engineers (ASME)
ISBN(电子版)9780791885031
DOI
出版状态已出版 - 2021
活动ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, GT 2021 - Virtual, Online
期限: 7 6月 202111 6月 2021

出版系列

姓名Proceedings of the ASME Turbo Expo
9B-2021

会议

会议ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, GT 2021
Virtual, Online
时期7/06/2111/06/21

指纹

探究 'A novel vibration-based fault detection approach of bolted engineering structures without reference' 的科研主题。它们共同构成独一无二的指纹。

引用此