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딥러닝 기법을 사용한 이차원 과도유동 해석

원문정보

Analysis of Two Dimensional Transient Flow Using Deep Learning Technique

이태환, 박진현

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

The flow analysis of two dimensional transient flow over the obstacles with rectangular cross sections was performed. And 190 velocity distributions for each aspect ratio were imaged to provide input data for convolutional neural network learning. The classification and regression methods were used in estimating the aspect ratio from given velocity distributions. As a result the classification method was more exact than the regression method. But both the classification and regression methods gave relatively accurate prediction of the defined aspect ratio judging from the imaged velocity distributions. This confirms that the deep learning technique is applicable to the flow analysis.

목차

ABSTRACT
1. 서론
2. 해석
2.1 유동 해석
2.2 딥러닝(deep learning)
3. 결과 및 검토
4. 결론
후기
References

저자정보

  • 이태환 Tae-Hwan Lee. Mechatronics Eng., Gyeongnam Nat'l Univ. of Science and Technology
  • 박진현 Jin-Hyun Park. Member, Mechatronics Eng., Gyeongnam Nat'l Univ. of Science and Technology

참고문헌

자료제공 : 네이버학술정보

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