Uncertainty assessment of cavity profile reconstructed by outward-ECT based on parameter bootstrap method and CFD-EMF simulation

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Mengxian Shen , Xiyao Zhao , Jiangtao Sun , Yongxuan Han , Zitang Yuan , Peng Suo , Yadong Wang , Changwen Li , Lijun Xu
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引用次数: 0

Abstract

Outward electrical capacitance tomography (Outward-ECT) provides a powerful method for monitoring the cavity profiles on the exterior of axisymmetric bodies. However, comprehensive quantitative analyses of attached cavities based on Outward-ECT measurements are still lacking. This study introduces a Monte Carlo parameter bootstrap method that quantifies the uncertainty of the reconstructed cavity profile using a posteriori means and standard deviations of bootstrap samples. Additionally, a coupled computational fluid dynamics and electromagnetic field (CFD-EMF) simulation framework is proposed to correct axial offset errors arising from the fringe effects of Outward-ECT. Water entry experiments were conducted, and high-speed camera images served as references to validate the proposed methodology. Experimental results demonstrate that the maximum uncertainty in the relative cavity radius measured by Outward-ECT during vertical water entry is 0.0475, corresponding to an actual deviation of 1.43 mm. Upon correction of axial offset error, the estimated relative radius from Outward-ECT closely matches the reference radius, illustrating the importance of correcting axial offset errors when monitoring cavity profiles using single-plane Outward-ECT.
基于参数自举法和CFD-EMF仿真的外电辐射重构空腔廓形的不确定性评估
外向电容层析成像技术(outer - ect)为监测轴对称体外部的空腔分布提供了一种强有力的方法。然而,基于外向电传导测量的附著空腔的全面定量分析仍然缺乏。本文介绍了一种蒙特卡罗参数自举方法,该方法利用自举样本的后验均值和标准差来量化重构腔体轮廓的不确定性。此外,提出了一种计算流体动力学和电磁场(CFD-EMF)耦合仿真框架,以纠正由外向ect的条纹效应引起的轴向偏移误差。以高速摄像机图像为参考,进行了入水实验,验证了所提出的方法。实验结果表明,在垂直入水过程中,outer - ect测量的相对空腔半径的最大不确定度为0.0475,实际偏差为1.43 mm。在对轴向偏移误差进行校正后,估算的相对半径与参考半径非常接近,说明了在使用单平面外向ect监测空腔轮廓时,校正轴向偏移误差的重要性。
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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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