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          Resources/ServicesACMD Seminar: FEM-CQ approximation of viscoelastic waves

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Hasan Eruslu*Dept. of Math. Sciences, University of Delaware*

Wednesday, December 11, 2019, 3:00–4:00 PM
Building 101, Lecture Room A
Gaithersburg

Wednesday, December 11, 2019, 1:00–2:00 PM
Building 1, Room 4072
Boulder

**Host:** Gunay Dogan

**Abstract:** Viscoelasticity is commonly used to model the deformation of various types of solids including, polymers, metals, and biological materials. We are going to propose an efficient unified scheme to approximate this deformation for a number of viscoelastic models including the fractional-in-time ones. Our method is based on Finite Element Method (FEM) and Convolutional Quadrature (CQ) time-stepping, which gives us a powerful parallelized algorithm in the Laplace domain. We will present examples of different models, and how our method performs on them.

**Bio:** Hasan Eruslu received his BS and MS from Bogazici University, Istanbul, Turkey. He is currently a PhD candidate at University of Delaware, Department of Mathematical Sciences, and supervised by Dr. Peter Monk and Dr. Francisco-Javier Sayas. During his PhD, he has worked on numerical discretization of transient viscoelastic waves, analysis of CQ-time stepping algorithms, and development of high performance computational tools for solving various PDEs. He was also a guest researcher/research assistant at NIST for the past two summers, and built software tools for surface segmentation in 3D images. His research interests lie in scientific computing, numerical analysis and software development.

**Note:** Visitors from outside NIST must contact Cathy Graham; (301) 975-3800; at least 24 hours in advance.

This talk will be broadcast on-line using BlueJeans.  Contact acmdseminar [at] nist.gov(acmdseminar[at]nist[dot]gov) for details.
  Mathematics and statistics

    
    Contacts
      
        

Gunay Dogan
    
      
  gunay.dogan@nist.gov
  (301) 975-8883

  Stephen Langer
    
      
  stephen.langer@nist.gov
  (301) 975-5423

Created November 25, 2019, Updated November 26, 2019
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