Sentence examples for mean damage degrees from inspiring English sources
The mean damage degrees as a function of earthquake magnitude are shown in Fig. 9.
Figure 8 shows the mean damage degrees obtained using the two methodologies as a function of the earthquake magnitude.
Open image in new window Fig. 9 Comparison of the mean damage degrees for each class of structures in Bucharest, Romania, using the FRACAS and SPO2FRAG methodologies as a function of earthquake magnitude (left FRACAS results, right SPO2FRAG results).
Open image in new window Fig. 8 Comparison of the mean damage degrees of structures in Bucharest, Romania, using the FRACAS and SPO2FRAG methodologies as a function of earthquake magnitude.
Moreover, the mean damage degrees obtained using the SPO2FRAG approach appear more logical since the most vulnerable buildings appear to be the high-rise and medium-rise RC frame structures.
Based on the analysis of the individual results it appears as economically feasible to increase the level of the design peak ground acceleration for the structures at which the difference between the mean damage degrees is significant (for example, mid-rise reinforced concrete frame structures or high-rise steel structures).
The mean damage degree is computed based on the discrete probabilities associated to each damage state.
A sort of capping of the mean damage degree can be inferred from the SPO2FRAG results for magnitudes M W ≥ 7.5.
The results of the comparison of the mean annual damage degrees as a function of the level of the design peak ground acceleration are summarized in Table 4.
The mean annual damage degrees computed using both approaches (FRACAS and SPO2FRAG) are given in Table 3 for the 24 analyzed structures.
Table 4 Comparison of the mean annual damage degrees for structures in Bucharest, Romania, using the FRACAS and SPO2FRAG methodologies as a function of the level of design peak ground acceleration (PGA) Design PGA Mean annual damage degree FRACAS SPO2FRAG 0.24 g 0.043 0.036 0.30 g 0.034 0.026 0.36 g 0.027 0.023.
