## 5 Numerical Applications
### Software Application for the Pre-Earthquake Assessment of RC Buildings with Full Data Availability

Table 8: _Cont._Software Application for the Post-Earthquake Real-Time Assessment of RC Buildings with Limited Data Availability  
In this case, the software was applied to three case study RC buildings with structural parameters that are considered unknown in order to check the reliability of the parametric procedure based on the proposed assumptions described in Section 4.4. In fact, the structural parameters of these buildings are known and presented in Table 9. However, in order to proceed with the reliability check, the structural data of this Table were not directly inserted into the application to investigate the effectiveness of the parametric analyses performed by the external function \"FORM_ANN_INPUT\" when the structural parameters of the MFPNNs' input vectors are considered unknown (Section 4.4). The case study buildings were designed according to the provisions of EN1992-1-1 and EN1998-1. The information about the application of these codes for the design of the buildings in Table 9 was considered as known. Three different versions of each one of the three case study buildings were considered, differentiated regarding their masonry infills; i.e., \"Bare Buildings\"- \"BB\", \"Fully Infilled Buildings\"- \"FIB\", and \"Pilois Buildings\"- \"PB\" (Section 5.1). After the design procedure, the case study buildings were assessed using NTHA for the 65 seismic excitations, also used for the analyses of the 30 known RC buildings presented in the previous section. Based on the analysis results, the calculation of the seismic damage indices (i.e., the MIDR values) and consequently the classifications to the three pre-defined DS of Table 3 were extracted. Since the structural parameters n\({}_{\text{v1}}\), n\({}_{\text{v2}}\), and e\({}_{0}\) were considered unknown, the assumptions described in Section 4.4 were followed. To this end, the data required to define the range of the possible values of unknown structural parameters for the three case study buildings were estimated and inserted into the application (Table 10). \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Building**} & \multirow{2}{*}{\begin{tabular}{c} **Year of** \\ **Construction** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **Regularity** \\ **in Plan** \\ \end{tabular} } & \multicolumn{2}{c}{**Existence of RC Shear Walls**} & \multicolumn{2}{c}{**Regular**} & \multirow{2}{*}{
\begin{tabular}{c} **Strong Masonry** \\ **Infills** \\ \end{tabular} } & \multirow{2}{*}{**Pilois**} \\ \cline{3-4} \cline{6-9}  & & & **Dir 1** & & & **Dir 2** \\ \hline SFExFy\_3B & \textgreater{}2010 & Yes & Unknown & Unknown & Yes & & \\ SFExFy\_5B & \textgreater{}2010 & Yes & Yes & Unknown & No & No & No \\ SFExFy\_8B & \textgreater{}2010 & Yes & Unknown & No & No & & \\ \hline SFExFy\_3F & \textgreater{}2010 & Yes & Unknown & Unknown & Yes & & \\ SFExFy\_5F & \textgreater{}2010 & Yes & Yes & Unknown & No & Yes & No \\ SFExFy\_8F & \textgreater{}2010 & Yes & Unknown & No & No & & \\ \hline SFExFy\_3F & \textgreater{}2010 & Yes & Unknown & Unknown & Yes & & \\ SFExFy\_5F & \textgreater{}2010 & Yes & Yes & Unknown & No & Yes & Yes \\ SFExFy\_8F & \textgreater{}2010 & Yes & Unknown & No & No & No & \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Structural data of the three versions of the three case study buildings. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **Name** & **n\({}_{\text{v1}}\)** & **n\({}_{\text{v2}}\)** & **H\({}_{\text{tot}}\) (m)** & **L\({}_{\text{x}}\) (m)** & **L\({}_{\text{y}}\) (m)** & **e\({}_{\text{x}}\) (m)** & **e\({}_{\text{y}}\) (m)** \\ \hline
1 & SFExFy\_3 & 0.62 & 0.0 & 9.6 & 10.0 & 15.0 & 0.0 & 0.0 \\
2 & SFExFy\_5 & 0.60 & 0.0 & 16.0 & 10.0 & 15.0 & 0.0 & 0.0 \\
3 & SFExFy\_8 & 0.58 & 0.0 & 25.6 & 10.0 & 15.0 & 0.0 & 0.0 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Structural data of the three examined buildings with unknown data used for the prediction of their DS.