The paper presents an approach for the assessment of seismic fragility for recurrent masonry building typologies in historical centres on a regional scale based on multisource data. At this scale of analysis, the poor level of information and the huge number of existing masonry buildings represent a twofold problem that needs to be addressed. In this view, the proposed framework starts from an integration of multisource data with different degrees of detail (e.g., regional landscape plans, public topographic datasets, census data and information provided by the CARTIS catalogue) directly implemented in GIS environment, obtaining a proper georeferenced database. This georeferenced informative structure is processed to derive geographic distribution, morpho-typological and structural features about masonry building typologies in historical centres. Subsequently, sets of mechanical models, sufficiently representative of the most widespread typologies on the regional territory, have been obtained by varying some significantly parameters coherently with available information. Capacity/Demand ratio has been estimated for each model of sets by implementing nonlinear static analysis for increasing levels of Peak Ground Acceleration. Finally, typological fragility curves have been derived for each set of buildings according to Multiple Stripe Analysis method. An application has been proposed for the case study of Puglia region, allowing to obtain a georeferenced informative structure useful for the investigation of architectural typological parameters that influence structural behavior and for the characterization of seismic vulnerability of a large portion of the masonry building stock of historical centre at regional scale.

MULTISOURCE DATA APPROACH FOR SEISMIC FRAGILITY ASSESSMENT OF MASONRY BUILDINGS AT REGIONAL SCALE

Valeria Leggieri
Secondo
;
2024-01-01

Abstract

The paper presents an approach for the assessment of seismic fragility for recurrent masonry building typologies in historical centres on a regional scale based on multisource data. At this scale of analysis, the poor level of information and the huge number of existing masonry buildings represent a twofold problem that needs to be addressed. In this view, the proposed framework starts from an integration of multisource data with different degrees of detail (e.g., regional landscape plans, public topographic datasets, census data and information provided by the CARTIS catalogue) directly implemented in GIS environment, obtaining a proper georeferenced database. This georeferenced informative structure is processed to derive geographic distribution, morpho-typological and structural features about masonry building typologies in historical centres. Subsequently, sets of mechanical models, sufficiently representative of the most widespread typologies on the regional territory, have been obtained by varying some significantly parameters coherently with available information. Capacity/Demand ratio has been estimated for each model of sets by implementing nonlinear static analysis for increasing levels of Peak Ground Acceleration. Finally, typological fragility curves have been derived for each set of buildings according to Multiple Stripe Analysis method. An application has been proposed for the case study of Puglia region, allowing to obtain a georeferenced informative structure useful for the investigation of architectural typological parameters that influence structural behavior and for the characterization of seismic vulnerability of a large portion of the masonry building stock of historical centre at regional scale.
2024
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/484723
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