Data-driven experimental method for fatigue performance of steel structures from the perspective of material-detail-structure

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research aims to enhance the understanding of fatigue damage mechanisms in steel structures through a data-driven approach.
Developed a data-driven experimental method for fatigue testing of steel structures.
Analyzed information characteristics across different scales of testing models.
Established a framework for integration of micro, meso, and macro levels of analysis.
The proposed method effectively captures cross-scale information transfer and feedback processes, achieving integration of microstructural features and macroscopic behavioral mechanisms.
Key data expansion for performance characterization was successfully realized, providing a comprehensive technical path from mechanistic insights to engineering applications.

Investigates fatigue performance in steel structures, suggesting a new data-driven approach for assessment.

No abstract yet. The journal hasn't published one we can show.

No takes yet. Share an insight, caveat, or question.

Zhang et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Share