Data-driven simulation for general-purpose multibody dynamics using Deep Neural Networks HS Choi, J An, S Han, JG Kim, JY Jung, J Choi, G Orzechowski, A Mikkola, ... Multibody System Dynamics 51, 419-454, 2021 | 38 | 2021 |
A DNN-based data-driven modeling employing coarse sample data for real-time flexible multibody dynamics simulations S Han, HS Choi, J Choi, JH Choi, JG Kim Computer Methods in Applied Mechanics and Engineering 373, 113480, 2021 | 33 | 2021 |
Iterative coordinate reduction algorithm of flexible multibody dynamics using a posteriori eigenvalue error estimation S Han, JG Kim, J Choi, JH Choi Applied Sciences 10 (20), 7143, 2020 | 6 | 2020 |
An efficient fixed-time increment-based data-driven simulation for general multibody dynamics using deep neural networks MS Go, S Han, JH Lim, JG Kim Engineering with Computers, 1-19, 2023 | 5 | 2023 |
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics H Lee, S Han, HS Choi, JG Kim Journal of Computational Physics 496, 112578, 2024 | 2 | 2024 |
Multi-body dynamics model for spent nuclear fuel transportation system under normal transport test conditions S Han, GE Jeong, H Lee, WS Choi, JG Kim Nuclear Engineering and Technology 55 (11), 4125-4133, 2023 | 2 | 2023 |
Data-driven friction force prediction model for hydraulic actuators using deep neural networks S Han, G Orzechowski, JG Kim, A Mikkola Mechanism and Machine Theory 192, 105545, 2024 | 1 | 2024 |
A DNN-based metamodeling techniques for real-time simulations of flexible multibody system dynamics S Han, HS Choi, J Choi, JH Choi, JG Kim Transactions of the Korean Society of Mechanical Engineers, A 45 (10), 853-861, 2021 | 1 | 2021 |
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SID-Net: Machine learning based system identificationframework for rigid and flexible multibody dynamics SI Jang, S Han, JG Kim, J Choi, S Rhim, JH Choi | | 2023 |
Composite Neural Network Framework for Modeling Impulsive Nonlinear Dynamic Responses H Lee, S Han, HS Choi, JG Kim Society for Experimental Mechanics Annual Conference and Exposition, 165-168, 2023 | | 2023 |
¹ÌºÐ ÀüÆÄ º¹ÇÕ ½Å°æ¸Á ¸ðµ¨À» ÀÌ¿ëÇÑ ºñ¼±Çü Ãæ°Ý µ¿¿ªÇÐ ¸ÞŸ¸ðµ¨¸µ ÀÌÇöºó£¬ ÇѼºÁö£¬ ÃÖÈñ¼±£¬ ±èÁø±Õ ´ëÇѱâ°èÇÐȸ ÃáÃßÇмú´ëȸ, 80-80, 2023 | | 2023 |
ÀϹÝÀûÀÎ ´Ù¹°Ã¼ µ¿¿ªÇÐ ½Ã¹Ä·¹À̼ÇÀ» À§ÇÑ °íÁ¤ ½Ã°£ ÁõºÐ ±â¹ÝÀÇ DNN ¸ðµ¨¸µ ±â¹ý ÀÓÀçÇõ£¬ °í¸í¼®£¬ ±èÁø±Õ£¬ ÇѼºÁö ´ëÇѱâ°èÇÐȸ ÃáÃßÇмú´ëȸ, 38-39, 2022 | | 2022 |
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½Ç½Ã°£ À¯¿¬ ´Ù¹°Ã¼ µ¿¿ªÇÐ Çؼ®À» À§ÇÑ È¿À²ÀûÀÎ DNN ¸ÞŸ¸ðµ¨ ÇнÀ ±â¹ý ¿¬±¸ ÇѼºÁö£¬ ÃÖÈñ¼±£¬ ÃÖÁÖȯ£¬ ÃÖÁøȯ£¬ ±èÁø±Õ ´ëÇѱâ°èÇÐȸ ÃáÃßÇмú´ëȸ, 267-268, 2020 | | 2020 |
À¯¿¬ ´Ù¹°Ã¼ µ¿¿ªÇÐ Çؼ®À» À§ÇÑ Ãà¼Ò ¸ðµ¨¸µ ÀÚµ¿È ÇѼºÁö£¬ ±èÁø±Õ£¬ ÃÖÁÖȯ£¬ ÃÖÁøȯ ´ëÇѱâ°èÇÐȸ ÃáÃßÇмú´ëȸ, 10-11, 2019 | | 2019 |
MacPherson Strut Suspension ÀÇ µ¿¿ªÇÐ ¸ðµ¨¸µ ¹× Hardpoint ÀÇ ÃÖÀûÈ ¿ÀÁÖ¿µ£¬ ÇѼºÁö£¬ ÃÖÁøȯ£¬ ÀÌÁ¤ÇÑ ´ëÇѱâ°èÇÐȸ ÃáÃßÇмú´ëȸ, 116-117, 2019 | | 2019 |
À¯¿¬ ´Ù¹°Ã¼ µ¿¿ªÇÐ Çؼ®À» À§ÇÑ ÀÚµ¿ÈµÈ Ãà¼Ò¸ðµ¨¸µ ±â¹ý °³¹ß: Development of Automated Coordinate Reduction Technique for Flexible Multibody Dynamics ÇѼºÁö °æÈñ´ëÇб³ ÀϹݴëÇпø, 2019 | | 2019 |