Table 5 Formulation of the analytical models.
From: Advanced predictive machine and deep learning models for round-ended CFST column
Sr. No. | Model | Formulation |
---|---|---|
1 | Liu et al.66 | \(\:{N}_{u}=\:{N}_{u,\:cirular}+{N}_{u,\:square}\) \(\:{N}_{u}={A}_{c}{f}_{c}^{{\prime\:}}+\left(1.7{A}_{s,circular}+1.25{A}_{s,square}\right){f}_{ys}\) |
2 | Zhao et al.67 | \(\:{N}_{u}=Finite\:element\:based\:simulations\) |
3 | Bu et al.30 | \(\:{N}_{u}={A}_{a}{f}_{0.2}+2{A}_{c}\left(1+2{\lambda\:}_{ac}\right){f}_{0.2}+{A}_{sc}{f}_{c}^{{\prime\:}}\) |
4 | Ahmed & Liang35 | \(\:{N}_{u}={A}_{se}{f}_{ys}+{A}_{c}\left({\gamma\:}_{c}{f}_{c}^{{\prime\:}}+4.1{f}_{rp}\right)\) |
5 | Faxing et al.15 | \(\:{N}_{u}={A}_{c}{f}_{c}^{{\prime\:}}\left(1+\left(0.8+0.9D/B\right)\varPhi\:\right)\) |
6 | Ren et al.27 | \(\:{N}_{u}={f}_{c}^{{\prime\:}}{A}_{c}\left(1+K\varPhi\:\right)\) |
7 | Lu et al.25 | \(\:{N}_{u}={f}_{c}^{{\prime\:}}{A}_{c}+{K}_{1}^{{\prime\:}}{f}_{ys}{A}_{s}+{K}_{2}^{{\prime\:}}{f}_{sv}{A}_{sso}\) |
8 | Ding et al.24 | \(\:{N}_{u}={A}_{c}{f}_{c}^{{\prime\:}}+\left(0.8+0.9D/B\right){f}_{ys}{A}_{s}+\left(B/D-1\right)/\left(0.6+0.15B/D\right){f}_{sv}{A}_{sso}\) |
9 | Hassanein & Patel23 | \(\:{N}_{u}={\gamma\:}_{s}{f}_{ys}{A}_{s}+\left({\gamma\:}_{c}{f}_{c}^{{\prime\:}}+4.1{f}_{rp}^{{\prime\:}}\right){A}_{c}+{f}_{ys}{A}_{seff}+{\gamma\:}_{c}{f}_{c}^{{\prime\:}}{A}_{c}\) \(\:{\gamma\:}_{s}=1.458{\left(D/t\right)}^{-0.1}\:\:\:\:\:\:\:\:\:\:\:\:\:\:0.9\le\:{\gamma\:}_{s}\le\:1.10\) |
10 | Zhang et al.66 | \(\:{N}_{u}={f}_{scy}{A}_{sc}\) \(\:{N}_{u}=\left\{\begin{array}{c}\:\:\:\:\:\:\\\:\:\:\:\end{array}\begin{array}{cc}\left(1.3+1.1\xi\:\right)\left(D-0.2D/\beta\:\right){f}_{c}^{{\prime\:}}&\:1\le\:\left(B/D\right)\le\:1.44\\\:\left(1.18+0.85\xi\:\right){f}_{c}^{{\prime\:}}&\:1.44<(B/D)\le\:4\end{array}\right.\) |