activity
20192022
most citedDeep learning for structural health monitoring: An application to heritage structures

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP20221 cited

Deep learning for structural health monitoring: An application to heritage structures

Fabio Carrara, Fabrizio Falchi, Maria Girardi +3

Thanks to recent advancements in numerical methods, computer power, and monitoring technology, seismic ambient noise provides precious information about the structural behavior of…

cs.CE2020

The natural frequencies of masonry beams

Maria Girardi

The present paper aims at analytically evaluating the natural frequencies of cracked slender masonry elements. The problem is dealt with in the framework of linear perturbation, an…

cs.CE2020

A finite element model updating method based on global optimization

Maria Girardi, Cristina Padovani, Daniele Pellegrini +1

Finite element model updating of a structure made of linear elastic materials is based on the solution of a minimization problem. The goal is to find some unknown parameters of the…

eess.SP2019

Ambient vibrations of age-old masonry towers: results of long-term dynamic monitoring in the historic centre of Lucca

Riccardo Mario Azzara, Maria Girardi, Valerio Iafolla +3

The paper presents the results of an ambient vibration monitoring campaign conducted on so-called Clock Tower (Torre delle Ore), one the best known and most visited monuments in th…

cs.CE2019

A model updating procedure to enhance structural analysis in the FE code NOSA-ITACA

M. Girardi, C. Padovani, D. Pellegrini +1

This paper describes the model updating procedure implemented in NOSA-ITACA, a finite-element code for the structural analysis of masonry constructions of historical interest. The…