JIANPING YANG – structure response and early warning – Best Researcher Award

JIANPING YANG - structure response and early warning - Best Researcher Award

Institute of Rock and Soil Mechanics, Chinese Academy of Sciences - China

AUTHOR PROFILE

SCOPUS

EDUCATION AND WORK EXPERIENCE:

JIANPING YANG has a robust academic background in geology and geotechnical engineering. He earned his B.Sc. in Geology from China University of Geosciences (2000-2004) and his Ph.D. in Geotechnical Engineering from the Institute of Rock and Soil Mechanics (IRSM), CAS (2004-2009). He progressed from Assistant Professor (2009-2011) to Associate Professor (2012-2019) at IRSM, CAS, and spent a year as a Visiting Scholar at CSIRO (2018-2019). Since 2020, he has been a Professor at IRSM, CAS, focusing on geotechnical engineering.

ACADEMIC ACHIEVEMENTS:

JIANPING YANG has led and contributed to significant research projects, including 5 National Natural Science Foundation projects, a Major Program of the National Natural Science Foundation of China, and several key projects under the 973 and 863 programs. He is also a member of the Youth Innovation Promotion Association, CAS.

AWARDS AND RECOGNITIONS:

JIANPING YANG's research excellence has been recognized with numerous awards. He received the Second Prize of the National Scientific and Technological Progress Award (national level) and multiple provincial and ministerial level awards, including the First Prize of the Science and Technology Progress Award from the Chinese Society for Rock Mechanics and Engineering and the Hubei Science and Technology Progress Award.

RESEARCH ON ROCK MASS MECHANICS:

JIANPING YANG has developed innovative methods to evaluate the mechanical parameters of rock masses. He proposed the energy equivalence and superposition methods to estimate the elastic compliance matrix of rock masses with 2D and 3D fractures, investigating the progressive failure process, scale effect, and anisotropic characteristics of rock mass strength and deformation modulus.

STRESS DISTRIBUTION IN ROCK MASSES:

JIANPING YANG's research on stress distribution between interbedded strong and soft rock masses has led to practical applications. His findings optimized the tunnel lining thickness in soft rock in Pakistan, significantly reducing it from 1.2m to 0.6m. He also examined the adverse factors affecting rock burst in layered rock masses.

STRUCTURAL HEALTH MONITORING SYSTEMS:

JIANPING YANG has developed structural health monitoring systems (SHMS) for large underwater shield tunnels. His work involved long-term field monitoring and the development of mechanical models to evaluate mechanical properties degradation, revealing significant findings such as the decrease in normal stiffness of circumferential joints over 15 years.

INNOVATIVE ANALYTICAL METHODS:

JIANPING YANG's contributions include proposing analytical methods to study rock masses with non-regular non-persistent fractures. His work provides deeper insights into the elastic compliance matrix, fracture stiffness, and the impact of these factors on rock mass behavior, advancing the field of geotechnical engineering.

NOTABLE PUBLICATION

Variation of segment joint opening of underwater shield tunnel during long operational period
Authors: Ye, W., Yang, J.-P., Chen, W.-Z.
Year: 2024
Journal: Tunnelling and Underground Space Technology

Technical feasibility of converting abandoned calcite mines into lined rock caverns for underground hydrogen storage
Authors: Liu, X., Chen, W., Yang, J., Ding, H., Xie, L.
Year: 2024
Journal: Journal of Energy Storage

Probing the Hydro-mechanical Response of a Clayey Rock for Radioactive Waste Disposal Using a Transversely Isotropic Damage Constitutive Model
Authors: Yu, H., Chen, W., Li, F., Tan, X., Yang, J.
Year: 2024
Journal: Rock Mechanics and Rock Engineering

Numerical simulation on cavern support of compressed air energy storage (CAES) considering thermo-mechanical coupling effect
Authors: Liu, X., Yang, J., Yang, C., Zhang, Z., Chen, W.
Year: 2023
Journal: Energy
Volume: 282
Article: 128916

Real-time prediction of mechanical behaviors of underwater shield tunnel structure using machine learning method based on structural health monitoring data
Authors: Tan, X., Chen, W., Zou, T., Yang, J., Du, B.
Year: 2023
Journal: Journal of Rock Mechanics and Geotechnical Engineering