Yibeijiu · 一杯酒
About Me
I am a Ph.D. candidate in [Your Major] at [Your University], advised by Prof. [Advisor Name]. My research focuses on computational mechanics and fracture mechanics of engineering materials and structures.
I develop physics-based finite element models and integrate machine learning to build efficient, accurate predictive tools for structural failure analysis.
I also run 土木岛 — a WeChat channel and blog for civil/structural engineers, sharing ABAQUS tutorials, Python tools, and research resources.
Research Interests
| Area | Methods & Tools |
|---|---|
| Ductile Fracture | VGM, MMC, HC criteria; GTN damage model |
| Phase-Field Fracture | PF model + neural networks (IFENN) |
| Steel Fiber Reinforced Concrete | Orientation effects; T3D2 element modeling |
| Mesoscale Concrete | Random aggregate generation; ITZ modeling |
| AI-assisted FEM | Physics-informed neural networks; surrogate models |
News
Selected Publications
Full list → Publications
[Paper Title, Year]
Yibeijiu, Author B, Author C. Journal Name, vol(issue), pages.
[PDF] [DOI]Emergency Restorability of Underground Engineering Environment after Disasters by Utilizing Prefabrication and Assembly Technology
[PDF]
Contact
your-email@university.edu | |
| Office | Building / Room, University Name |
| 公众号：土木岛 | |
| GitHub | github.com/zpy1160390580 |
Last updated: April 2026