From: Failure Mode Detection of Reinforced Concrete Shear Walls Using Ensemble Deep Neural Networks
Aspect ratio (\(M/Vl_{{\text{w}}}\)) | 0.25–4.1 | Axial load ratio (\(P/f_{{\text{c}}} A_{{\text{g}}}\)) | 0.0–0.5 |
Boundary element area to area of cross-section ratio (\(A_{{\text{b}}} /A_{{\text{g}}}\)) | 0.0–0.44 | Gross cross-sectional area (\(A_{{\text{g}}}\)—\({\text{mm}}^{2}\)) | 7800–825,400 |
The ratio of length to thickness of the wall (\(l_{{\text{w}}} /t_{{\text{w}}}\)) | 4.35–57 | Compressive strength of concrete (\(f_{c}\)—MPa) | 13.7–130.8 |
Web reinforcing ratio in horizontal direction (\(\rho_{{{\text{hw}}}}\)) | 0.0–0.037 | Web reinforcing ratio in vertical direction (\(\rho_{{{\text{vw}}}}\)) | 0.0–0.037 |
B. E.* reinforcing ratio in horizontal direction (\(\rho_{{{\text{hb}}}}\)) | 0.0–0.13 | B. E. reinforcing ratio in vertical direction (\(\rho_{{{\text{vb}}}}\)) | 0.0–0.1 |
Yield strength of horizontal reinforcement (MPa) | Web (\(f_{{{\text{y}},{\text{hw}}}}\)) | 0.0–1262 | |
B. E. (\(f_{{{\text{y}},{\text{hb}}}}\)) | 0.0–1253 | ||
Yield strength of vertical reinforcement (MPa) | Web (\(f_{{{\text{y}},{\text{vw}}}}\)) | 0.0–1001 | |
B. E. (\(f_{{{\text{y}},{\text{vb}}}}\)) | 0.0–776 |