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