Punching Shear Predictor
This Space provides a Gradio GUI for RC/FRC flat-slab punching shear prediction and P/F/PF failure-mode classification.
Model inventory
Regression models available in the GUI:
- ANN
- SVR
- KNN
- DT
- RF
- AdaBoost
- GBM
- XGBoost
- LightGBM
- CatBoost
Failure-mode classification models available in the GUI:
- SVC
- KNN
- Decision Tree
- Random Forest
- AdaBoost
- LightGBM
- XGBoost
Input notation
- L₁, L₂: slab spans
- c₁, c₂: column dimensions
- d: effective depth
- b₀ = 2(c₁ + c₂ + 2d): ACI-type control perimeter
- c_eq = √(c₁c₂): equivalent column dimension
- f′c: concrete compressive strength
- f_y: yield strength of longitudinal reinforcement
- ρ: flexural reinforcement ratio
- V_f, L_f, d_f: fiber volume fraction, length, and diameter
- L_f/d_f: fiber aspect ratio
The app internally generates Set A+ logarithmic variables:
ln(L₁/d), ln(c_eq/d), ln(ρ), ln(f_y/f′c), ln(V_f), and ln(L_f/d_f).
