Japan Geoscience Union Meeting 2018

Presentation information

[JJ] Oral

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

[M-GI27] Data-driven geosciences

Tue. May 22, 2018 1:45 PM - 3:15 PM 301A (3F International Conference Hall, Makuhari Messe)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Takane Hori(独立行政法人海洋研究開発機構・地震津波海域観測研究開発センター), Chairperson:Nagao Hiromichi(Earthquake Research Institute, The University of Tokyo), Yoshida Kenta(JAMSTEC)

1:45 PM - 2:00 PM

[MGI27-01] A New Direction of Engineering Simulation Driven by Data Assimilation

★Invited Papers

*Shigeru Obayashi1, Takashi Misaka1 (1.Tohoku University)

Keywords:Computer aided engineerin, Data assimilation

The utilization of measurement data is becoming attractive in various fields due to the massive growth of sensing and networking technologies boosted by, so-called, the internet of things (IoT). It is expected to utilize such a data-rich environment to improve engineering simulations in computer-aided engineering (CAE). Data assimilation is one of the methodologies to statistically integrate a numerical model and measurement data, and it would be a key technology to take advantage of IoT technologies in CAE. Unlike meteorological/oceanographical data assimilation where the estimation of initial conditions for numerical weather prediction is of primary interest, engineering data assimilation, as it is called, data assimilation-aided engineering (DAE), should focus on other functionalities of data assimilation such as the improvement of a model by measured data and adaptive measurement based on model prediction. In this presentation, we describe examples of such data assimilation studies applied to engineering problems.