Dynamic analysis and shape sensing of pipes subjected to water hammer by the inverse finite element method

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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Abstract

Pipe structures are commonly employed in modern industries. However, the transient pressure induced by water hammer leads to a high risk of structural damage, highlighting the importance of Structural Health Monitoring (SHM). The inverse Finite Element Method (iFEM) offers a way to reverse structural deformations based on a set of discrete strain data. In this paper, the water hammer phenomenon in a Reservoir-Pipe-Valve (RPV) system is investigated. The element iQS4 is adopted to reconstruct dynamic deformations for the pipe using iFEM. The water hammer resulting from an instantaneous closure of the valve can generate significant fluid pressure, leading to severe pipe vibrations. The vibration deformations can be monitored by iFEM. The maximum error of the pipe nodal displacement is below 3 % and the average error is below 2 % in the proposed several sensor location cases, even the mesh of iFEM is coarser than the FE model. Among the sparse sensor location cases, the X path which is suitable for Fiber Bragg Grating (FBG) sensors has the highest accuracy of the displacement reconstruction. The results reveal a promising prospect in the real-time monitoring based on iFEM for pipes.

利用反向有限元法对遭受水锤的管道进行动态分析和形状传感
现代工业普遍采用管道结构。然而,水锤引起的瞬态压力导致结构损坏的风险很高,这突出了结构健康监测(SHM)的重要性。反向有限元法(iFEM)提供了一种基于一组离散应变数据反向计算结构变形的方法。本文研究了水库-管道-阀门 (RPV) 系统中的水锤现象。采用 iQS4 元素,利用 iFEM 重建管道的动态变形。阀门瞬间关闭产生的水锤会产生巨大的流体压力,导致管道剧烈振动。iFEM 可以监测振动变形。即使 iFEM 的网格比 FE 模型更粗糙,在提出的几种传感器定位情况下,管道节点位移的最大误差也低于 3%,平均误差低于 2%。在传感器位置稀疏的情况下,适用于光纤布拉格光栅(FBG)传感器的 X 路径的位移重建精度最高。这些结果揭示了基于 iFEM 的管道实时监测的广阔前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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