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UID:0-302@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20200129T163000

DTEND;TZID=Asia/Jerusalem:20200129T173000

DTSTAMP:20230527T131345Z

URL:https://aerospace.technion.ac.il/events/improved-time-reversal-methods
 -for-the-identification-of-flaws-in-aerospace-structures/

SUMMARY:Improved Time-Reversal Methods for the Identification of Flaws in A
 erospace Structures
DESCRIPTION:Lecturer:Eyal Amitt\n Faculty:Department of Aerospace Engineeri
 ng\n Institute:Technion – Israel Institute of Technology\n Location:Clas
 sroom 165\, ground floor\, Library\, Aerospace Eng.\n Zoom: \n Abstract: \
 n Details: \n Non-Destructive Testing (NDT) is one of the major requiremen
 ts in aerospace structural design. Appropriate use of NDT guarantees safet
 y in aerospace and is thus a subject of highest attention. In this study\
 , a new model-based NDT method is proposed for damage identification. The 
 computational inverse problem of identifying a scatterer in a time-depende
 nt wave field is considered. The wave speed of the background medium and t
 he wave source are assumed to be known. Wave measurements\, possibly noisy
 \, are given at chosen discrete points in space (sensor locations) and tim
 e. The goal is to find scatterer parameters such as location\, size and sh
 ape. The computational solution procedure consists of two steps. In the fi
 rst step\, a standard fast Arrival-Time Imaging (ATI) algorithm is employe
 d. This results in a rough image which provides possible regions for the l
 ocation of the scatterer. In the second step an optimization scheme based 
 on Time Reversal (TR) is used to determine the location\, size and shape o
 f the scatterer.\nNext\, a comparison between combined ATI-TR and the well
 -known Full Waveform Inversion (FWI) method\, using the adjoint method as 
 an efficient way to advance toward the real scatterer parameters\, is disc
 ussed. The goal of this study is to compare the performances of these meth
 ods with a focus on running time\, amount of data required and identificat
 ion capabilities.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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DTSTART:20191027T010000

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