(심사중)
(Domestic)
SpaceX Falcon 9 재사용 발사체의 역설계 및 구조적 타당성 평가
(Reverse Engineering and Structural Validity Assessment of SpaceX Falcon 9 Reusable Launch Vehicle)
이승리(경희대), 박정훈(전북대), 조수장(한국항공우주연구원), 박용규(한국항공우주연구원), 임재혁(경희대)
Journal of the Korean Society for Aeronautical and Space Sciences (한국항공우주학회지), 심사중
(Manuscripts under review)
(Artificial Intelligence)
72. Jin Hyeok Seok, Ji Wan Seo, Yeong Kwan Jo, Sang Hu Park, Jae Hyuk Lim, and YunHo Kim*
Data-Driven Estimation of the Critical Structural Strain from Boundary Acceleration Using a 2-Stage Shallow Time Delay Neural Network, under review.
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Heat Transfer, Thruster)
71. Seong Ah Jeong, Hong-Kyun Noh, Jeong-Hoon Kim(KARI), and Jae Hyuk Lim*
Sensor-Driven Physics-Informed Real-Time Estimation of Full-Field Temperature and Thrust in a Bipropellant Thruster, under review.
(Multiscale Modeling, Meta-Structure, Anisotropy)
67. Jeong-Hoon Park, Tae-Yong Park (STEPLab), Hyung-Woong Oh*(KAU), and Jae Hyuk Lim*
A Multiscale Continuum Homogenization Framework for the Anisotropic Elasto-Plastic Behavior of Metallic Wire-Mesh Structures, under review.
* Corresponding Authors
(FE model updating and Artificial Intelligence)
66. Seong Ah Jeong**, Hong-Kyun Noh**, Sung-Hoon Kim(i3시스템), Chang-Hyun Park(i3시스템), and Jae Hyuk Lim*
Machine Learning-Based Surrogate Modeling with Physics-Aware Sampling for Finite Element Model Updating of Structural Dynamics, under 1st revision.
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Nonlinear PDE)
69. Jeong-Hoon Park, Hong-Kyun Noh, Jin-Hyung Park*, and Jae Hyuk Lim*
Physics-Informed Deep Learning Framework for Full-Field Reconstruction of Cracked Structures via Optimal Sparse Sensing , under review.
* Corresponding Authors
(Manuscripts in Preparation)
(International)
70. Jeong-Hoon Park*, Seong Ah Jeong*, Su-Jang Jo(KARI), Yongkyu Park(KARI)* and Jae Hyuk Lim*
Development and Calibration of a Beam-Type Reduced-Order Model for Launch Vehicle Structural Dynamics
** Two authors equally contributed to this work.
(Multiscale modeling, Meta Structure)
68. Jeong-Hoon Park, Tae-Yong Park (STEPLab), Hyung-Woong Oh*(KAU), and Jae Hyuk Lim*
Development of an Equivalent Multiscale Model for Fabric-like Meta-Structures with Wire-to-Wire Contact and Sliding
* Corresponding Authors
73. Ko, Hyeongseok, Jae Hyuk Lim, and Han, Jae-Hung*
Design and Flight Demonstration of an Ornithopter: Enhancing Endurance and Payload via Neural Network Surrogate-Based Optimization
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Fluid Mechanics)
72. Hong-Kyun Noh, Seungchul Lee(KAIST)* and Jae Hyuk Lim*
Sensor-Guided Physics‑informed Machine Learning for Real-Time Full‑Field Prediction of Fluid Flows
(International)
(Physics-informed Neural Networks, Artificial Intelligence, Foundation Model)
78. Hong-Kyun Noh, Jeong-Hoon Park, Seungchul Lee(KAIST)*, and Jae Hyuk Lim*
Generalized PINN-Based Foundation Model for Arbitrary-Shaped Beam and Plate Structures with Loading, Damping, and Variable Section Properties
77. Hong-Kyun Noh, Jeong-Hoon Park, Seungchul Lee(KAIST)*, and Jae Hyuk Lim*
Generalized PINN-Based Foundation Model for Arbitrary-Shaped Beam and Plate Structures with Loading, Damping, and Variable Section Properties
(Artificial Intelligence, Digital Twin, and Rotor Blade)
76. Hong-Kyun Noh, Jeong-Hoon Park, Taejoo Kim (KARI)*, and Jae Hyuk Lim*
Inverse Design of the Internal Structure of Composite Rotor Blades Using SHAP-Based Sensitivity Analysis with Explainable Artificial Intelligence
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Fluid Mechanics)
75. Jeong-Hoon Park*, Seong Ah Jeong*, Su-Jang Jo(KARI), Yongkyu Park(KARI)* and Jae Hyuk Lim*
Development and Calibration of a Beam-Type Reduced-Order Model for Launch Vehicle Structural Dynamics
** Two authors equally contributed to this work.
( Artificial Intelligence)
74. Jeong-Hoon Park, Hong-Kyun Noh, and Jae Hyuk Lim*
Prediction and Validation of Strongly Nonlinear Time Series Data for Flexible Structures Using Fixed-Time Increment-Based Deep Neural Networks.
(Physics-informed Neural Networks, Artificial Intelligence, Digital Twin, and Mechanical Vibration)
73. Hong-Kyun Noh**, Jeong-Hoon Park**, Jung Woo Sohn(KMOU)*, and Jae Hyuk Lim*
"Experimental Demonstration and Validation of a PINN-Based Surrogate Model for Vibration Signal-Based Fault Diagnosis and Digital Twin"
** Two authors equally contributed to this work.