Data-driven low-dimensional model/sparse sensing of fluid dynamics and its application to seismic waves

Taku Nonomura, Yuji Saito, Takayuki Nagata, Kumi Nakai, Keigo Yamada, Sayumi Kaneko

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI33] Data-driven geosciences

Thu. Jun 3, 2021 1:45 PM - 3:15 PM Ch.18 (Zoom Room 18)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), Shin-ichi Ito(The University of Tokyo), Chairperson:Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology)

1:45 PM - 2:15 PM

[MGI33-01] Data-driven low-dimensional model/sparse sensing of fluid dynamics and its application to seismic waves

★Invited Papers

*Taku Nonomura¹, Yuji Saito¹, Takayuki Nagata¹, Kumi Nakai¹, Keigo Yamada¹, Sayumi Kaneko¹ (1.Tohoku University)

Keywords:Data-driven science, Low-dimensional model, Sparse sensing

In this presentation, the low-dimensional model/sparse sensing techniques developed in the fields of fluid dynimacs will be rewiewed with presenting the recent results of the research group of the authors. The real-time/cost-efficient fluid dynimic experiments will be explained to be realized using those techniques. In addition to that, the application of the low-dimensinoal model/sparse sensing to seismic waves will be addressed.