Haobin Chen , Ron Chik-Kwong Wong , Simon Park , Ron Hugo
{"title":"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","authors":"Haobin Chen , Ron Chik-Kwong Wong , Simon Park , Ron Hugo","doi":"10.1016/j.measurement.2025.119214","DOIUrl":null,"url":null,"abstract":"<div><div>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 (<em>Re<sub>d</sub></em>) and Depth of Cover (<em>DOC</em>) 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.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119214"},"PeriodicalIF":5.6000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancements in FIV-based flow measurement: full-scale experimental and LES-SSI modeling approaches for buried pipelines\",\"authors\":\"Haobin Chen , Ron Chik-Kwong Wong , Simon Park , Ron Hugo\",\"doi\":\"10.1016/j.measurement.2025.119214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (<em>Re<sub>d</sub></em>) and Depth of Cover (<em>DOC</em>) 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.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"258 \",\"pages\":\"Article 119214\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125025734\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125025734","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.