A New Inverse Algorithm for Tomographic Reconstruction of Damage Images Using Lamb Waves

Lamb wave tomography (LWT) is a potential and efficient technique for non-destructive tomographic reconstruction of damage images in structural components or materials. A new two-stage inverse algorithm with a small amount of scanning data for quickly reconstructing damage images in aluminum and CFRP laminated plates was proposed in this paper. Due to its high sensitivity to damages, the amplitude decrease of transmitted Lamb waves after travelling through the inspected region was employed as a key signal parameter related to the attenuation of Lamb waves in propagation routes. A through-thickness circular hole and a through-thickness elliptical hole in two aluminum plates, and an impact-induced invisible internal delamination in a CFRP laminated plate were used to validate the effectiveness and reliability of the proposed method. It was concluded that the present new algorithm was capable of reconstructing the images of the above mentioned various damages successfully with much less experimental data compared with those needed by some traditional techniques

Pull-out simulations of a capped carbon nanotube in carbon nanotube-reinforced nanocomposites

Author name used in this publication: Zhou, L.2012-2013 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Preparation of W/O nanoemulsion using tandem acoustic emulsification and its novel utilization as a medium for phase-transfer catalytic reaction

We have successfully demonstrated that W/O nanoemulsion prepared by the tandem acoustic emulsification is extremely useful medium for enhancing the rate of phase-transfer catalytic reactions.</p