NHERI SimCenter 11/01 Webinar Announcement

[announce at designsafe-ci.org]

Dear colleagues, please share this announcement of an upcoming webinar on
Wednesday, November 1st, 1-2pm (PDT). The Early Career Researcher Forum is
a webinar series that highlights compelling research and facilitates the
exchange of ideas among graduate students, postdocs and early career
faculty, but all are welcome to participate.

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NHERI SimCenter – Early Career Researcher Forum
Wednesday, November 1, 2017, 1 - 2pm (PDT)

*Multi-scale Modeling of a 500-year Cascadia Subduction Zone Tsunami
Inundation including the Constructed Environment*

*Presenter:*
Xinsheng (Shawn) Qin is a 4th year PhD student at the University of
Washington in Seattle, co-advised by Michael Motley, Randall LeVeque and
Frank Gonzalez. He received a Bachelor degree in Ocean Engineering from
Shanghai Jiao Tong University (China) in 2014. His primary areas of
research are numerical modeling of tsunami inundation and impact on coastal
structures using large-scale supercomputers. Recently he is also working on
accelerating tsunami models with Graphic Processing Units (GPU).

*REGISTER for this webinar at*

https://www.designsafe-ci.org/learning-center/training/simcenter/webinar-171101/
Connection information will be distributed upon receipt of registration.

*Abstract:*
A numerical tsunami model that can incorporate the onshore constructed
environment is difficult to build either with a two-dimensional (2D)
approach or a three-dimensional (3D) approach. A depth-integrated 2D
approach assumes independence of the z-coordinate (in the vertical
direction), thus can be oversimplified when modeling complex and variable
flow. 3D models require very fine meshing near coastal structures, which
dramatically increases the computational cost and makes modeling of some
problems impractical. In this study, an experiment modeled after a 500-year
Cascadia Subduction Zone (CSZ) tsunami inundation including the constructed
environment is modeled and analyzed. Comparisons are made between a 2D
model and a 3D model. Modeling reasonably selected subdomains is shown to
alleviate the computational cost of the 3D model. The 2D model does not
accurately capture the important details of the flow near initial impact
due to the transiency and large vertical variation of the flow. The 3D
model does a better job at a much higher cost of computational resources.
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