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Online monitoring of corrosion damage using ultrasonic guided wave tomography

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Corrosion of pressure vessels, storage tanks and pipelines is a significant problem in petrochemical and nuclear industries. Detecting and quantifying the wall thickness loss due to the corrosion damage is of growing interest. Conventional ultrasonic thicknessgauging methods are tedious and expensive, especially for inaccessible areas. Guided wave tomography offers good potential to monitor the remnant thicknesses of corrosion patches without accessing all points on the surface. It uses the dispersion characteristics of guided waves, and reconstructs the thickness map by the inversion of ultrasonic signals captured by a transducer array around the inspection area. This work applies a novel guided wave tomography method based on full waveform inversion (FWI) for the corrosion mapping. It uses a numerical forward model to predict the scattering of guided wave through corrosion defects, and an iterative inverse model to reconstruct the corrosion profile. At each iteration, numerical modeling is performed with the aim of least-squared minimization of the misfit between the modeled and the observed data. The FWI algorithm allows higher order diffraction and scattering to be considered in its numerical solver, thus can provide accurate inversion results. Numerical simulation and experiment have been carried out to validate the algorithm, showing excellent agreements. A guided wave tomography system is then designed to monitor different stages of forced electrochemical corrosion. The reconstructed thickness map match perfectly with the prediction using the Faradays Law, as well as the measurements from a laser profilemeter.

源语言英语
主期刊名Structural Health Monitoring 2017
主期刊副标题Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
编辑Fu-Kuo Chang, Fotis Kopsaftopoulos
出版商DEStech Publications
1747-1753
页数7
ISBN(电子版)9781605953304
DOI
出版状态已出版 - 2017
已对外发布
活动11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford, 美国
期限: 12 9月 201714 9月 2017

出版系列

姓名Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
1

会议

会议11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
国家/地区美国
Stanford
时期12/09/1714/09/17

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