An automatic procedure for deriving building portfolios using the Italian “CARTIS” online database

Basaglia, Alberto; Cianchino, Giorgia; Cocco, Giulia; Rapone, Davide; Terrenzi, Marco; Spacone, Enrico; Brando, Giuseppe

doi:10.1016/j.istruc.2021.09.054

Cited by 15 publications

(4 citation statements)

References 34 publications

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“…These procedures are mostly based on the vulnerability index method (VIM) to extrapolate a synthetic parameter relating to the amount of protection attained by a specific structural system. 6,9,27 The vulnerability index method is employed to aggregate masonry buildings situated throughout the urban area C01 (see Section 2.2). The survey form has been widely spread across Europe 19,28 and it consists of 15 parameters that take into consideration the mutual influence, among structural units (SUs) composing the masonry aggregate.…”

Section: Index-based Vulnerability Approachmentioning

confidence: 99%

“…Empirical methods are based on observational data and expert judgement and they are engaged to determine the seismic susceptibility of urban areas. [9][10][11] The observational methods are centred on a visualstatistical type survey, which enables the collection of data considered necessary for the predicted vulnerability of a generic building stock through the use of survey forms or post-earthquake data related to the damage of buildings belonging to a specific typological class. To quantify the expected damage level, synthetic indicators based on the average damage level are being used.…”

Section: Noveltymentioning

confidence: 99%

“…These approaches are based on specified survey forms which have identified appropriate typological, structural and material criteria to provide a comprehensive evaluation of the expected vulnerability level. These procedures are mostly based on the vulnerability index method (VIM) to extrapolate a synthetic parameter relating to the amount of protection attained by a specific structural system 6,9,27 . The vulnerability index method is employed to aggregate masonry buildings situated throughout the urban area C01 (see Section 2.2).…”

Section: Vulnerability Assessment Of Masonry Aggregatesmentioning

confidence: 99%

“…The two major approaches for appraising the seismic susceptibility of historic buildings are (i) empirical‐observational methods and (ii) analytical methods. Empirical methods are based on observational data and expert judgement and they are engaged to determine the seismic susceptibility of urban areas 9–11 . The observational methods are centred on a visual‐statistical type survey, which enables the collection of data considered necessary for the predicted vulnerability of a generic building stock through the use of survey forms or post‐earthquake data related to the damage of buildings belonging to a specific typological class.…”

Section: Introductionmentioning

confidence: 99%

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Seismic risk scenario for the historical centre of castelpoto in Southern Italy

Formisano

Chieffo

Lourénço

2023

Earthq Engng Struct Dyn

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The study proposed a seismic vulnerability methodology applied to the historical centre of Castelpoto, located in the province of Benevento (Southern Italy). The seismic vulnerability of the examined aggregates was examined using an index‐based procedure specifically developed for structural masonry compounds. The structural details and specific characteristics of building aggregates are crucial in determining the seismic vulnerability of buildings in urban environments. Parameters such as the plan configuration, size, and layout of buildings, including the thickness, height of the masonry walls and the connections among different components of the construction, were appropriately considered, since all might have an impact on their seismic performance. Furthermore, the type of masonry, the strength and composition of the mortar, as well as the quality of constructions, can also contribute to the global seismic performance of buildings. These structural parameters, collected in the used form, were correlated to the Masonry Quality Index (MQI) to provide an exhaustive assessment of the capacity (in‐plane and out‐of‐plane mechanisms) of the bearing elements towards seismic loads. Secondly, the susceptibility to damage of the existing building stock was evaluated by applying a parametric simulation of damage scenarios adopting an appropriate Intensity Prediction Equation (IPE). To this purpose, fault models were acquired from the Database of Individual Seismogenic Sources (DISS) and the considered IPE was validated according to the Italian Macroseismic Database (DBMI). Thus, the proposed research aims to highlight how an accurate assessment of masonry strength is crucial during the inspection phase to optimise the prediction of the expected damage scenario allowing for effective risk mitigation in urbanised contexts.

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