Tomographic reconstruction of damage images in hollow cylinders using Lamb waves

Bin Hu; Ning Hu; Leilei Li; Weiguo Li; Shan Tang; Yuan Li; Xianghe Peng; Atsushi Homma; Yaolu Liu; Liangke Wu; Huiming Ning

doi:10.1016/j.ultras.2014.05.011

Tomographic reconstruction of damage images in hollow cylinders using Lamb waves

Ultrasonics. 2014 Sep;54(7):2015-23. doi: 10.1016/j.ultras.2014.05.011. Epub 2014 May 23.

Authors

Bin Hu¹, Ning Hu², Leilei Li³, Weiguo Li³, Shan Tang³, Yuan Li⁴, Xianghe Peng³, Atsushi Homma⁵, Yaolu Liu⁵, Liangke Wu⁵, Huiming Ning⁵

Affiliations

¹ College of Metallurgy and Material Engineering, Chongqing University of Science and Technology, Daxuecheng Donglu 20, Chongqing 401331, PR China.
² College of Aerospace Engineering, Chongqing University, Chongqing 400044, PR China; Department of Mechanical Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan. Electronic address: huning@faculty.chiba-u.jp.
³ College of Aerospace Engineering, Chongqing University, Chongqing 400044, PR China.
⁴ Department of Nanomechanics, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan.
⁵ Department of Mechanical Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan.

PMID: 24908541
DOI: 10.1016/j.ultras.2014.05.011

Abstract

Lamb wave tomography (LWT) is a potential and efficient technique for non-destructive tomographic reconstruction of damage images in structural components or materials. A two-stage inverse algorithm proposed by the authors for quickly reconstructing the damage images was applied to hollow cylinders. An aluminum hollow cylinder with an internal surface pit and a Carbon Fiber Reinforced Plastic (CFRP) laminated hollow cylinder with an artificial internal surface damage were used to validate the proposed method. The results show that the present method is capable of successfully reconstructing the images of the above damages in a larger inspection area with much less experimental data compared to some conventional ultrasonic tomography techniques.

Keywords: Attenuation; Damage image; Inverse algorithm; Lamb wave tomography.