A machine learning framework to estimate a simple seismic vulnerability index from a photograph: the VULMA project-Reference-Cited by-同舟云学术

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A machine learning framework to estimate a simple seismic vulnerability index from a photograph: the VULMA project

Published:2023 Issue: Volume:44 Page:1956-1963
ISSN:2452-3216
Container-title:Procedia Structural Integrity
language:en
Short-container-title:Procedia Structural Integrity

Author:

Cardellicchio Angelo,Ruggieri Sergio,Leggieri Valeria,Uva Giuseppina

Funder

Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. Influence of infilled frames on seismic vulnerability assessment of recurrent building typologies;Aiello;Ingegneria Sismica,1962

2. View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings;Cardellicchio;Data.,2022

3. Macroscale modelling of the orthotropic shear damage in the dynamics of masonry towers by RBSM;Casolo;Engineering Failure Analysis,2021

4. Testing masonry blockwork panels for orthotropic shear strength;Casolo;Construction and Building Materials,2019

5. Analysis of seismic damage patterns in old masonry church facades;Casolo;Earthquake Spectra,2000

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