摘要：Pipeline maintenance and repair technology based on pipeline plugging robot (PPR) is an important means to ensure safe transportation of pipeline. Here, aiming at impact vibration phenomena of PPR during plugging operation, vibration analyses were performed from two aspects of movement process and plugging operation. The dynamic model of PPR based on bi-directional fluid-structure interaction was established to simulate and analyze axial, radial and pitch vibrations of PPR in motion process. Plugging tests were conducted for PPR with different disturbing flow models to observe changes of flow field in plugging processes of different models, and measure vibrations of PPR using pressure gradients in plugging processes. The improved seagull algorithm (ISA) was proposed to optimize kernel extreme learning machine (KELM), and pressure gradient proxy models for different disturbing flow models were established, respectively to realize vibration prediction of PPR. The results showed that the proposed proxy models can accurately predict pressure gradients in plugging processes of different disturbing flow models; these models are of guiding significance for ensuring stability of plugging operation. ? 2023 Chinese Vibration Engineering Society. All rights reserved.

ISSN号：1000-3835

卷、期、页：卷42期13：36-49

发表日期：2023-01-01

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）,北大中文核心期刊

发表期刊名称：Zhendong yu Chongji/Journal of Vibration and Shock

通讯作者：苗兴园

第一作者：赵弘

论文类型：期刊论文

论文概要：苗兴园,赵弘，Vibration prediction of oil and gas pipeline plugging robot in plugging process，Zhendong yu Chongji/Journal of Vibration and Shock，2023，卷42期13：36-49

论文题目：Vibration prediction of oil and gas pipeline plugging robot in plugging process