Punching shear behavior of Slab–Column joints with partial UHPC enhancement: Experimental, numerical, and data-driven predictions

Reinforced concrete (RC) slab–column joints are prone to brittle punching shear failure. Enhancing their punching shear capacity is therefore critical for improving structural safety of flat slab structures. Ultra-high performance concrete (UHPC), characterized by high strength and ductility, provides a promising approach to enhancing the punching shear performance of slab–column joints. This study evaluates the effectiveness of partial UHPC application in enhancing punching shear performance. Four specimens with varying UHPC areas were tested to assess load–displacement behavior and failure modes. To extend the investigation, 216 validated finite element (FE) models were developed to examine the effects of UHPC area, material strengths, reinforcement ratio, and slab depth. A comprehensive dataset combining simulation and test results was used to train machine learning (ML) models. Among four algorithms, XGBoost achieved the best performance (RMSE = 21.87, R 2 = 0.98). SHAP and partial dependence plot analyses revealed UHPC area as the most influential factor, followed by UHPC strength and slab depth. In contrast, reinforcement ratio and column size showed limited influence, diverging from trends observed in conventional RC slab-column joints. These findings highlight the structural benefits of partial UHPC enhancement and offer new insight into optimizing slab–column joint design.

Authors

Institutions

Publication Details

Journal
Advances in Structural Engineering
Published
2026-01-09
DOI
https://doi.org/10.1177/13694332261415700
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Punching shear behavior of Slab–Column joints with partial UHPC enhancement: Experimental, numerical, and data-driven predictions

Siyi Feng, Shixue Liang, Kaixin Gu
Advances in Structural Engineering
Structural Behavior of Reinforced Concrete
article

Punching shear behavior of Slab–Column joints with partial UHPC enhancement: Experimental, numerical, and data-driven predictions

Siyi Feng, Shixue Liang, Kaixin Gu
article en

Abstract

Reinforced concrete (RC) slab–column joints are prone to brittle punching shear failure. Enhancing their punching shear capacity is therefore critical for improving structural safety of flat slab structures. Ultra-high performance concrete (UHPC), characterized by high strength and ductility, provides a promising approach to enhancing the punching shear performance of slab–column joints. This study evaluates the effectiveness of partial UHPC application in enhancing punching shear performance. Four specimens with varying UHPC areas were tested to assess load–displacement behavior and failure modes. To extend the investigation, 216 validated finite element (FE) models were developed to examine the effects of UHPC area, material strengths, reinforcement ratio, and slab depth. A comprehensive dataset combining simulation and test results was used to train machine learning (ML) models. Among four algorithms, XGBoost achieved the best performance (RMSE = 21.87, R 2 = 0.98). SHAP and partial dependence plot analyses revealed UHPC area as the most influential factor, followed by UHPC strength and slab depth. In contrast, reinforcement ratio and column size showed limited influence, diverging from trends observed in conventional RC slab-column joints. These findings highlight the structural benefits of partial UHPC enhancement and offer new insight into optimizing slab–column joint design.

Advances in Structural Engineering
Zhejiang Sci-Tech University (CN), Zhejiang Lab (CN)
Sustainable cities and communities
Openalex Percentile: Top 92%
Structural Behavior of Reinforced Concrete
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.