A Bayesian estimation-based uncertainty quantification of flaws in steel welds detected by ultrasound phased array. (August 2020)

• Record Type: Journal Article
• Authors: He, Jingran; Chen, Zhijian; Luo, Xuhui
• Is Part Of: Journal of physics. Volume 1592(2020)
• Publication Date: 2020-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1592/1/012011
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Phased array ultrasonic scanning is currently the most advanced non-destructive test for detecting flaws in a steel welding. However, large uncertainty exists in the detection results. Technically, this uncertainty is induced by the sparsity of detection resolution compared to the scale of the flaws. Consequently, it is essential to enrich the resolution of detection results and quantify the corresponding statistical uncertainty before evaluating the number and equivalent of the flaws in the steel welding. In this paper an uncertainty quantification framework is built with Bayesian compressive sensing method from which the equivalent of the flaws in the steel welding with certain degree of confidence can finally be given.