Dr. Heng Yang is an Associate Professor and a Ph.D Supervisor at Institute of Advanced Structure Technology, Beijing Institute of Technology. He received his Bachelor's degree in Engineering Mechanics and Aerospace Engineering from Tsinghua University in July 2014 and his Ph.D. in Solid Mechanics from Tsinghua University in July 2019.
Dr. Yang's research focuses on experimental solid mechanics and composite material mechanics. His expertise includes self-sensing integrated sensing devices and in-situ monitoring, as well as non-contact force, thermal, and internal field measurement methods. He has led several national-level projects, including the General and Youth Projects of the National Natural Science Foundation of China (NSFC). As a core member, he has also participated in major research instrument development projects funded by the NSFC.
He has published over 40 academic papers in leading journals such as the Journal of the Mechanics and Physics of Solids, Experimental Mechanics, and Composites Science and Technology, accumulating more than 1,600 citations. Dr. Yang holds five authorized invention patents. He was selected for the 8th Youth Talent Support Program by the China Association for Science and Technology and was awarded the 2019 Excellent Doctoral Dissertation by the Chinese Society for Composite Materials. He has also been recognized as an Outstanding Master's Thesis Supervisor at the Beijing Institute of Technology.
Dr. Yang actively supports his students, who have received numerous honors including Excellent Master's Thesis awards, Outstanding Graduate recognitions, National Scholarships, and the Beijing "Three Goods" Student Award. He encourages his graduate students to participate in high-level academic conferences both domestically and internationally.
Dr. Yang's research revolves around the internal field testing, characterization, evaluation, and multifunctional design of composite material structures. His specific research interests include:
l New Methods for Internal Parameter Testing and Inversion
Developing innovative techniques for measuring and interpreting internal parameters within composite structures.
l Mechanisms of Intelligent Sensors, Deep Learning Design, and Online Monitoring of Internal States
Exploring the underlying principles of smart sensors and applying deep learning for the design and real-time monitoring of internal states.
l Multifunctional Structural Design and Characterization Based on Internal Interface Regulation
Designing and characterizing multifunctional structures through the manipulation of internal interfaces within materials.
[1]Yang H, Yuan L, Yao XF*, Fang DN. Piezoresistive response of graphene rubber composites considering the tunneling effect. Journal of the Mechanics and Physics of Solids, 2020, 139: 103943.
[2]Yang H, Wang WF, Shang JC, Wang PD*, Lei HS*, Chen HS*, Fang DN. Segmentation of computed tomography images and high-precision reconstruction of rubber composite structure based on deep learning. Composites Science and Technology, 2021, 213: 108875.
[3]Niu, G., Zhu, R., Li, Y., Lei H., Wang P., Yang H., X-Ray Digital Image Correlation: A Reliable Method for Deformation Measurement at 1000 °C. Experimental Mechanics, 2024, 64(8): 1263–1276.
[4]Shang JC, Yang H*, Hong GQ, Zhao WH, Yang YF. Flexible pressure sensor enhanced by polydimethylsiloxane and microstructured conductive networks with positive resistance-pressure response and wide working range. Composites Part B: Engineering, 2023, 264: 110931.
[5]Yang YF, Yang H*, Shang JC, Zhao WH, Yan X, Wan ZS, Lei HS, Chen HS. A high-sensitivity flexible PDMS@rGO-based pressure sensor with ultra-wide working range based on bioinspired gradient hierarchical structure with coplanar electrodes. Composites Science and Technology, 2023, 240: 110078.
[6]Yang H*, Shang JC, Wang WF, Yang YF, Yuan YN*, Lei HS, Fang DN*. Polyurethane sponges-based ultrasensitive pressure sensor via bioinspired microstructure generated by pre-strain strategy. Composites Science and Technology, 2022, 221: 109308.
[7]Fu YT, Yang H*. Mechanical analysis of adhesion between wearable electronics and human skin based on crack theory of bi-material interface. International Journal of Solids and Structures, 2022, 254: 111850.
[8]Yang H, Yao XF*, Zheng Z, Gong LH, Yuan L, Yuan YN, Liu YH. Highly sensitive and stretchable graphene-silicone rubber composites for strain sensing. Composites Science and Technology, 2018, 167: 371-378.
[9]Yang H, Yao XF*, Yan H, Yuan YN, Dong YF, Liu YH. Anisotropic hyper-viscoelastic behaviors of fabric reinforced rubber composites. Composite Structures, 2018, 187: 116-121.
[10]Yang H, Yao XF*, Wang S, Ke YC, Huang SH, Liu YH. Analysis and inversion of contact stress for the finite thickness Neo-Hookean layer. Journal of Applied Mechanics, 2018, 85(10): 101008.
² Excellent Master's Thesis Supervisor, Beijing Institute of Technology, 2022, 2023.
² Excellent Doctoral Dissertation, Chinese Society for Composite Materials, 2020.
² Outstanding Postdoctoral Fellow, Beijing Institute of Technology, 2021.
