基于fiv的流量测量的进展:埋地管道全尺寸实验和LES-SSI建模方法

IF 5.6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Haobin Chen , Ron Chik-Kwong Wong , Simon Park , Ron Hugo
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引用次数: 0

摘要

基于流量诱导振动(FIV)的测量为监测管道流量和安全性提供了一种经济、无创、易于实施的方法。然而,基于fiv的流量测量研究仅针对地面管道进行。埋地管道在各种影响因素下的FIV特性在很大程度上尚未得到研究,这可能会导致测量结果出现重大误差。为了解决这些差距,本研究进行了全尺寸实验和埋地钢管道FIV的数值模拟。通过不同的雷诺数(Red)和覆盖深度(DOC)来表征普氏压实土中的FIV。采用大涡耦合土-结构相互作用(LES-SSI)模型框架对埋地钢管管道渗流进行了模拟。通过收敛性测试对LES-SSI模型进行了验证,并对实验和基准数据进行了验证。本研究深入探讨了FIV与各参数之间的关系。在此基础上,建立了地埋钢管道流量测量的最优量方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancements in FIV-based flow measurement: full-scale experimental and LES-SSI modeling approaches for buried pipelines
Flow Induced Vibration (FIV)-based measurement offers an economical, non-invasive, and readily implementable approach for monitoring pipeline flow rate and safety. Investigations into FIV-based flow measurement have, however, only been performed for above ground pipelines. The FIV characteristics of buried pipelines under various influence factors remain largely unexplored, potentially introducing significant errors in measurement outcomes. To address these gaps, this study conducts both full-scale experiments and numerical simulations of buried steel pipeline FIV. Experiments are performed characterizing FIV by varying Reynolds number (Red) and Depth of Cover (DOC) in proctor compacted soil. A Large-Eddy Simulation coupled with Soil-Structure Interaction (LES-SSI) modeling framework is used to simulate buried steel pipeline FIV. The LES-SSI model is validated through convergence tests and verified against both experimental and benchmark data. The study thoroughly investigates the relationship between FIV and various parameters. Subsequently, an optimal quantity equation for buried steel pipeline flow measurement is developed.
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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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