Contributo in atti di convegno, 2023, ENG

Numerical pre-diction of the seismic behaviour of a masonry vault mock-up using the NOSA-ITACA code

Pellegrini D.

CNR-ISTI, Pisa, Italy

Masonry vaults are widely employed in ancient constructions and play a crucial role in their static and dynamic response. Even if they are designed to withstand gravity and dead loads, these structural elements must also resist dynamic excitations caused by traffic and earthquakes; hence, the knowledge of their behaviour still requires in-depth analyses from experimental and numerical points of view. Within the framework of the SERA.TA project (Seismolo-gy and Earthquake Engineering Research Infrastructure Alliance for Europe), a blind pre-diction contest has been organized to assess the numerical analyses capability to predict the seismic response of a 1:1 scale model of masonry cross vault, realized and tested at LNEC laboratory (Portugal). This paper describes the analyses conducted on a numerical model of the vault created by NOSA-ITACA, a code developed in-house by ISTI-CNR for the analysis and calibration of masonry structures. The experimental accelerations, displacements, and crack patterns have been compared with the predicted numerical ones achieved in the blind pre-diction phase, by performing a nonlinear dynamic analysis of the un-strengthened finite element model of the vault

COMPDYN 2023 - 9th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Athens, Greece, 12-14/06/2023

Keywords

Groin vault, Nonlinear elasticity, Nonlinear dynamic analysis, Seismic behavior, Masonry material, Masonry vault, No-tension material

CNR authors

Pellegrini Daniele

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 482884

Year: 2023

Type: Contributo in atti di convegno

Creation: 2023-06-19 13:06:29.000

Last update: 2023-06-21 09:35:14.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

URL: http://2023.compdyn.org/proceedings/

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:482884