详细信息
A Study on Defect Tomographic Imaging in Pressure Vessel With Liquid Medium ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:A Study on Defect Tomographic Imaging in Pressure Vessel With Liquid Medium
作者:Hu, Gangyi[1];Chen, Chaofeng[1];Zhou, Shaoping[1];Zhai, Shuangmiao[1]
机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China
年份:2020
卷号:142
期号:4
外文期刊名:JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME
收录:;EI(收录号:20201708569368);WOS:【SCI-EXPANDED(收录号:WOS:000545630300015)】;
基金:Natural Science Foundation of China (Grant No. 51575185; Funder ID: 10.13039/501100001809).
语种:英文
外文关键词:Tomography - Accident prevention - Nondestructive examination - Guided electromagnetic wave propagation - Liquids - Corrosion resistance - Defects - Image reconstruction
摘要:Pressure vessels are widely utilized in many areas of industrial production and daily life for medium storage, which causes performance degradation in pressure vessels, such as crack and corrosion, and lead to serious safety and financial consequences. Reconstruction Algorithm for the Probabilistic Inspection of Damage (RAPID) is a kind of guided wave-based tomography method which is suitable to evaluate structure integrity of pressure vessels. In this article, the effect of liquid level on guided wave propagation and imaging results of RAPID algorithm is investigated, and an optimal baseline matching method based on amplitude variance is proposed to improve the imaging accuracy of RAPID algorithm with liquid-contained condition. The attenuation effect of liquid on guided wave amplitude is investigated. The damage signals are matched with baseline signals recorded at different liquid levels, and the effect of liquid on RAPID algorithm is discussed based on the results. The experiment of image reconstruction for pressure vessel using the optimal baseline matching method based RAPID algorithm is conducted as well. The experimental results show that the optimal baseline matching method can effectively select the best baseline signal, and the reconstructed images can accurately locate the defects on pressure vessels with considering the change of liquid level.
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