[Faculty] Fwd: [CSRC-SDSU COLLOQUIUM]: Optimization Problems in Inverse Identification of Delamination in Laminated Composites using Electrical Resistance Tomography
Jose Castillo
jcastillo at mail.sdsu.edu
Wed May 31 12:16:41 PDT 2017
*DATE: * Friday, June 2nd, 2017
*TITLE:* Optimization Problems in Inverse Identification of Delamination
in Laminated Composites using Electrical Resistance Tomography
*TIME: * 3:00 PM
*LOCATION: * GMCS 314
*SPEAKER:* Luis Escalona, PhD. Student CSRC-SDSU
*ABSTRACT: * The imaging technique that uses electrical properties of
materials such as electrical resistance measured on the surface/boundary to
image subsurface details is called Electrical Resistance Tomography (ERT).
Over the last decade or more, ERT techniques have been investigated for
applications in subsurface imaging of soils in geotechnical engineering,
biomedical imaging of pulmonary edema of lungs and flows in arteries/veins,
and for damage quantification for structural health monitoring. Our
interest is to develop ERT as a technique as a non-intrusive imaging and
damage sensing technique for accurate quantification of damage initiation
and growth in lab experiments for composite progressive failure. The talk
presents two optimization challenges addressed in our work to apply ERT to
carbon fiber reinforced polymer composites-, namely optimization for
inverse identification and optimization for sensor selection. The
identification of damage in composites using surface measured electrical
properties requires the solution of an inverse problem that is
computationally expensive. Our work investigated use of different surrogate
modeling techniques to address the computational challenges in the inverse
optimization. In addition, hardware limitations often limit the number of
electrode pairs that can be used for the sensing. Our research has
developed a novel approach developed for optimal sensor selection for ERT.
*HOST:* Dr. Jose Castillo
Sponsor by the SDSU-SIAM student Chapter
_______________________________________________
SDSU Computational Science Research Center
Mailing List
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Jose E. Castillo Ph.D.
Director / Professor
Computational Science Research Center
5500 Campanile Dr
San Diego State University
San Diego CA 92182-1245
619 5947205/3430, Fax 619-594-2459
http://www.csrc.sdsu.edu/mimetic-book/
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