Macro and mesoscopic mechanical behavior of concrete with actual aggregate segmented by hybrid Transformers and convolutional neural networks

Macro and mesoscopic mechanical behavior of concrete with actual aggregate segmented by hybrid Transformers and convolutional neural networks

The precise establishment of mesoscale models for concrete is crucial for understanding its mechanical behavior through numerical simulations. This study presents a deep learning-based numerical framework aimed at investigating both macro- and mesoscopic mechanical behavior of concrete, focusing on...

Full description

Saved in:
Bibliographic Details
Main Authors: Dong Wang, Junxing Zheng, Jichen Zhong, Lin Gao, Shuling Huang, Jiajia Zheng
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Concrete macro and mesoscopic mechanical behavior
Actual aggregate morphology and distribution
Deep learning
Aggregate segmentation
Discrete element method
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509525002128
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2214509525002128

Similar Items