[3Q3-J-13] AI application: analysis of physical behaviors in artifacts

[3Q3-J-13-04] Application of Gradient Booting regression toward the Computational Fluid Dynamics in the Manufacturing industry

〇Yutaro Ogawa¹, Takuya Shimizu¹, Toshiaki Yokoi¹ (1. INFORMATION SERVICES INTERNATIONAL-DENTSU, LTD.)

Keywords:gradient boosting, computational fluid dynamics, Moving Particle Semi-implicit method

A faster calculation of MPS (Moving Particle Semi-implicit) method which is a computational fluid dynamics in the Manufacturing industry is proposed. Proposed method surrogates the semi-implicit part of MPS by the Gradient boosting regression trees using 10 original features as inputs. Finally, we confirmed that the qualitative properties of the proposed method coincide with the conventional MPS method by simulations of the dam-break problem.