Jae Hyuk Lim
- Enhanced prediction of transverse mechanical behavior of unidirectional fiber-reinforced composites using new spatial descriptors based on deep neural networks. Dans: Composite Structures, v. 330 (février 2024). (2024):
- Numerical modeling and experimental validation of lamina fracture and progressive delamination in composite dovetail specimens under tensile loading. Dans: Composite Structures, v. 325 (décembre 2023). (2023):
- Data-driven stress and strain curves of the unidirectional composites by deep neural networks with principal component analysis and selective-data augmentation. Dans: Composite Structures, v. 313 (juin 2023). (2023):
- Variable-node element families for mesh connection and adaptive mesh computation. Dans: Structural Engineering and Mechanics, v. 43, n. 3 (août 2012). (2012):
- (4+n)-noded Moving Least Square(MLS)-based finite elements for mesh gradation. Dans: Structural Engineering and Mechanics, v. 25, n. 1 (janvier 2007). (2007):
- A virtual experimental approach to evaluate transverse damage behavior of a unidirectional composite considering noncircular fiber cross-sections. Dans: Composite Structures, v. 228 (novembre 2019). (2019):
- Variable-node finite elements with smoothed integration techniques and their applications for multiscale mechanics problems. Dans: Computers & Structures, v. 88, n. 7-8 (avril 2010). (2010):
- An experimental study of the two-way shape memory effect in a NiTi tubular actuator. Dans: Smart Materials and Structures, v. 19, n. 12 (décembre 2010). (2010):