杨弘凡讲师

杨弘凡，男，1994年生，毕业于北京理工大学机械工程专业，工学博士，现任高端轴承研究所执行所长、高端轴承河南省协同创新中心办公室主任，兼任中国图学学会数字孪生专委会委员。主要从事轴承智能测量、数字孪生建模等方向的研究。

[1] 物理模型与数字图像

[2] 数字孪生建模

本科生课程：

《智能检测技术与传感器》

[1] 国防基础科研项目，面向XXX靶标运动控制技术，排名2.

代表性论文：

[1] Yang H, Gao F, Zhang L, et al. Stress field identification using deep learning and three-dimensional digital image correlation[J]. Measurement, 2025, 244: 116517.

[2] Yang H, Wang J, Xia H, et al. Curing deformation compensation in bonding assembly for high-precision linear displacement encoder sensors[J]. Measurement Science and Technology, 2024, 35(12): 125018.

[3] Yang H, Xia H, Zhu L, et al. Measurement and assembly methods for bolted flange joints using three-dimensional digital image correlation[J]. International Journal of Pressure Vessels and Piping, 2024, 208: 105136.

[4] Yang H, Wang A, Xia H, et al. Inverse identification of in-situ curing shrinkage using a method combining 3D digital image correlation and finite-element simulation[J]. Measurement, 2023, 223: 113760.

[5] Yang H, Wang S, Xia H, et al. A prediction-correction method for fast and accurate initial displacement field estimation in digital image correlation[J]. Measurement Science and Technology, 2022, 33(10): 105201.