Presentation

2024

18. YH Kim, JH Han, S Han, SS Kim, MH Kim, JB Han, Real-time Simulations for Robot Arm with Hydraulic Actuator with Non-iterative Implicit Integrator, The 11th Asian Conference on Multibody Dynamics 2024 (ACMD2024) August 25-29, 2024, Suwon, Gyeonggi-do, Republic of Korea.

17. HS Choi, HB Lee, S Han, JG Kim, Accurate Modeling of Impulsive Dynamics Using a Differential Propagating Scheme in Neural Networks, The 11th Asian Conference on Multibody Dynamics 2024 (ACMD2024) August 25-29, 2024, Suwon, Gyeonggi-do, Republic of Korea.

16. MJ Jung, SH Han, S Han, JG Kim, Physics-informed Neural Networks with Multibody Dynamics examples, The 11th Asian Conference on Multibody Dynamics 2024 (ACMD2024) August 25-29, 2024, Suwon, Gyeonggi-do, Republic of Korea.

15. S Han, G Orzechowski, JG Kim, A Mikkola, JG Kim, A Study on Data-Driven Surrogate Modeling for Friction Force in a Hydraulic Actuator Using Deep Neural Networks, The 7th International Conference on Multibody System Dynamics June 9-13, 2024, Madison, WI, USA.

~ 2023

14. S Han, HS Choi, SI Jang, J Choi, JG Kim, JH Choi, A Study on the Data-Driven Modeling and Simulation Technique for Multibody Dynamics Systems using Deep Neural Networks, AeroNDT2023, 2023, 6-8 Nov, Busan, Republic of Korea.

13. SI Jang, J Choi, S Han, JG Kim, JH Choi, System Identification Network with Deep Neural Networks Metamodel for Dynamic System, KSME Conference, 1-3 Nov, Songdo, Republic of Korea.

12. S Han, G Orzechowski, JG Kim, A Mikkola, A Data-Driven Metamodeling Technique for Friction Force in Hydraulic Actuators, 2023 KSME Conference, 1-3 Nov, Songdo, Republic of Korea.

11. HB Lee, S Han, HS Choi, JG Kim, Meta-modeling of Nonlinear Impulsive Dynamics Using Composite Neural Network Model with Differential Propagation, KSME Conference, 2023, Republic of Korea.

10. HB Lee, S Han, HS Choi, JG Kim, Composite neural network framework for learning impulsive dynamic responses, IMAC-XLI, Feb 13-16, 2023, Austin, TX, USA.

9. S Han, HS Choi, J Choi, JH Choi, JG Kim, An efficient DNN-based Data-Driven Modeling algorithm for the Real-Time Flexible Multibody dynamics, 5th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOMVIII), 31 July – 5 August 2022, Yokohama, Japan.

8. S Han, HS Choi, J Choi, JH Choi, JG Kim, A Study of Deep Neural Network based Data-driven Modeling for Real-time Flexible Multibody Dynamics Simulation, IMSD-ACMD2020, New Delhi, India, Oct. 16-20, 2022.

7. YG Kim, S Han, JB Han, TK Yeu, JG Kim, Particle Method and Multi-body Dynamics based Co-simulation for Marine Robot of Deep-sea Mining, KSME Conference, 2021, Republic of Korea.

6. S Han, HS Choi, J Choi, JH Choi, JG Kim, A study of DNN-based metamodeling technique for the real-time flexible multibody dynamics simulations, 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2021), 27-30 June 2021, Athens, Greece.

5. S Han, HS Choi, J Choi, JH Choi, JG Kim, A study of efficient DNN meta-model training technique for real-time flexible multibody dynamics simulations, 2020 KSME conference, December 16-19, Republic of Korea.

4. S Han, HS Choi, J Choi, JH Choi, JG Kim, Study of deep neural network-based meta-modeling method for real-time flexible multibody dynamics simulation, KSME Joint Symposium on Dynamics & Control (E-CONFERENCE), July, 23-24, 2020.

3. JY O, S Han, JH Choi, JH Lee, Dynamic modeling and hard-point optimization of MacPherson Strut Suspension, 6-th Korea-Japan Joint Symposium on Dynamics & Control, Seoul, Republic of Korea, May 2019.

2. S Han, JG Kim, J Choi, JH Choi, Automated coordinate reduction for flexible multibody dynamics, 6th Korea-Japan Joint Symposium on Dynamics & Control, Seoul, Korea, May 2019

1. S Han, JG Kim, J Choi, JH Choi, Development of a new reduced flexible interface for RecurDyn to consider accurate modal information, Proceedings of the 2018 International Conference on Engineering Tribology and Applied Technology (ICETAT2018), Taipei, Taiwan, Nov. 16-18, 2018.