Education

• M.S. in Hunan University, Civil Engineering (ARWU Top 15 Academic Subjects Worldwide), 2022—2025 (expected)

  GPA: 3.55/4.00 Ranking:-

  Curriculum: Robots and Control; Data science; Advanced Soil Mechanics; Machine learning.

• B.S. in Hunan University, Civil Engineering (ARWU Top 15 Academic Subjects Worldwide), 2018—2022

  GPA: 3.71/4.00 Ranking: 1/52

  Curriculum: Theoretical Mechanics; Material Mechanics; Soil and Rock Mechanics; Tunneling Engineering.

Publication

1. Yu. Zhang, Linyun. Gou*, Chao. Zhang, Zemin. Qiu, Renpeng. Chen(2024). Role of iron oxide content in mechanical properties of granite residual soil in full suction range. Acta Geotechnica. （Impact Factor：5.60） [Paper]

2. Chao. Zhang, Yu. Zhang, Yuhao. Ren, Qihang. Huang*, Renpeng. Chen(2024). Domain adaptation CNN-GRU Network: A transferable framework for shield chamber pressure prediction across projects. Automation in Construction （Impact Factor：9.60） (Under review).

3. Chao. Zhang, Yu. Zhang, et.al. (2024). A coupled dynamics modeling of parallel mechanisms confined in the deformable medium. Automation in Construction (Under consideration).

*:Supervisor

Experience

• Role of iron oxide cementation on the mechanical properties of granite residual soil

Granite residual soil is a widely encountered clayey soil with unique microscopic soil structures. Its soil structures mainly stem from the presence of interparticle cementation by iron oxide. An attempt is made herein to experimentally quantify the impact of interparticle iron oxide cementation on soil’s mechanical properties, particularly in the high suction range.

• Domain adaptation for chamber pressure prediction in EPB shield tunneling

The chamber pressure is the pressure of excavated geomaterials in the sealed chamber during the earth pressure balance (EPB) shield tunneling process. It helps maintain the mechanical stability of the excavation face and varies spatially and temporally. A transferable deep learning framework, the Domain adaptation CNN-GRU Network (DaCG-Net), is proposed to predict spatiotemporal variations in chamber pressure across various projects.

• Dynamic modeling of parallel mechanisms confined in deformable medium

Parallel mechanisms are widely employed in underground excavation tasks due to their high load-bearing capacity and precise positioning. In such applications, the ground is treated as a deformable medium that imposes flexible constraints on the mechanism's end-effector motion. Traditional analyses typically focus on static force and torque balance, neglecting energy exchange and dissipation between the parallel mechanism and the environment. This omission can lead to inaccurate posture predictions. To address this, a coupled dynamics modeling approach is proposed, enabling the accurate determination of the forward kinematics of the parallel mechanism.

Honors and Awards

1. National scholarship for Postgraduates, Ministry of Education of the People’s Republic of China, November 2024
2. Outstanding Undergraduate Graduates of Hunan Province, Department of Education of the Hunan Province, May 2022
3. First-class Prize in the National BIM Modeling and Innovation Competition, Ministry of Education of the People’s Republic of China, November 2021
4. National Scholarship, Ministry of Education of the People’s Republic of China, November 2021
5. First-prize Academic Scholarship, Hunan University, November 2020
6. National Scholarship, Ministry of Education of the People’s Republic of China, November 2019

Skills

• Knowledge: Unsaturated soil mechanics, Machine learning, Mechanism dynamics
• Experiment skill: X-ray diffraction, SEM-EDS analysis, Drying cake method, Shield machine propulsion experimental platform
• Languages: Chinese (native), English (fluent)