Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning
Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. However, there are limited studies that forecast the moment improvement (Mu) in strengthening damaged RC beams. The aim of this study is...
Saved in:
| Main Authors: | Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525007375 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive machine learning framework: Predicting UHPC performance from data to modelling
by: Yinzhang He, et al.
Published: (2025-09-01) -
Shear strengthening of full-scale RC beams with externally bonded ultra-high performance concrete (UHPC) plates with embedded CFRP strips
by: Guolin Wang, et al.
Published: (2025-07-01) -
Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches
by: Sanjog Chhetri Sapkota, et al.
Published: (2025-08-01) -
Seismic Retrofit Case Study of Shear-Critical RC Moment Frame T-Beams Strengthened with Full-Wrap FRP Anchored Strips in a High-Rise Building in Los Angeles
by: Susana Anacleto-Lupianez, et al.
Published: (2024-09-01) -
Prediction of splitting tensile strength of fiber-reinforced recycled aggregate concrete utilizing machine learning models with SHAP analysis
by: Md Al Adnan, et al.
Published: (2025-12-01)