PSI - Issue 44
Giovanni Tondo et al. / Procedia Structural Integrity 44 (2023) 243–250
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Giovanni Tondo et al. / Structural Integrity Procedia 00 (2022) 000–000
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For what concerns the roof, four roofing systems have been identified in the AEDES form and consequently in the Da.D.O. platform: light roof with and without thrust, heavy roof with and without thrust (Fig. 2b). Generally, wooden roofs are considered to be light, while concrete roofs belong to the heavy category. In the 100-building database this subdivision around roofing systems was adopted, respecting the percentage distribution in Fig. 2b. Geometrically, in plan and in-elevation regular structures are the most common (Fig. 2a). However, in this study, in order to investigate the influence of in-plan irregularity on seismic vulnerability, both regular and irregular plan shapes were considered, while all building archetypes are regular in-elevation. The considered floor plans are reported in Fig. 3. Regarding the wall thickness, it was varied based on the number of floors, as summarized in Table 2.
(a)
(b) Fig. 2. Percentage of buildings per: (a) regularity; (b) roof system.
(a) (b) Fig. 3. Two typological floor plans used in the database: (a) regular; (b) irregular.
Table 2. Variation of wall thickness in the considered database.
1 st floor
2 nd floor
3 rd floor
Number of storey in the building
Ground floor
1 2 3 4
40 cm 40 cm 60 cm 60 cm
-
- -
- - -
40 cm 40 cm 60 cm
40 cm 40 cm
40 cm
3. RVS procedures for masonry buildings
RVS methods are qualitative procedures for assessing the seismic vulnerability of existing buildings based on the calculation of simplified safety indices accounting for the main factors influencing seismic risk. These procedures can be generally used for the large scale seismic risk assessment because the evaluation is performed by filling a data form during visual inspections, without any structural calculations (Kegyes-Brassai, 2022). Several methods have been developed over the time focusing on different structural typologies and regions (Aldemir et al. 2020; Achs et al. 2012; Vicente, 2008).
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