Cristoforo Demartino
Biographic Data
| ID | 9960497 |
|---|---|
| NAME | Cristoforo Demartino |
| GIVEN NAMES | Cristoforo |
| FAMILY NAME | Demartino |
| SIGNATURE | DEMARTINO C |
| AFFILIATIONS | Roma Tre University |
| ORCID | 0000-0002-9364-5160 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Machine learning model for predicting post-earthquake reconstruction grants of masonry buildings from seismic vulnerability features
In the aftermath of the 2009 L’Aquila earthquake in Italy, public authorities established a procedure to determine reconstruction grants for buildings on the basis of evidence from visual inspections, as documented in a dedicated form (i.e., the AeDES form). The calculation is driven by two main aspects, namely the observed damage and the assessed vulnerability level. For masonry buildings, which account for more than 90% of structures in small u…
Seismic performances of Italian schools
Schools in Italy play a critical societal role, both as centers of education and as vital community shelters during seismic events. Yet many Italian school buildings predate modern seismic codes and thus remain vulnerable to frequent earthquakes. This review consolidates current knowledge on the seismic performance of these structures, encompassing both historical masonry buildings and reinforced concrete frames designed primarily for gravity loa…
No prominent works on this page.
Seismic performances of Italian schools
Schools in Italy play a critical societal role, both as centers of education and as vital community shelters during seismic events. Yet many Italian school buildings predate modern seismic codes and thus remain vulnerable to frequent earthquakes. This review consolidates current knowledge on the seismic performance of these structures, encompassing both historical masonry buildings and reinforced concrete frames designed primarily for gravity loa…
Machine learning model for predicting post-earthquake reconstruction grants of masonry buildings from seismic vulnerability features
In the aftermath of the 2009 L’Aquila earthquake in Italy, public authorities established a procedure to determine reconstruction grants for buildings on the basis of evidence from visual inspections, as documented in a dedicated form (i.e., the AeDES form). The calculation is driven by two main aspects, namely the observed damage and the assessed vulnerability level. For masonry buildings, which account for more than 90% of structures in small u…
Seismic Performance and Analysis (2 works) · Business (1 work) · Civil and Structural Engineering Research (1 work) · Civil engineering (1 work) · Computer Science (1 work) · Computer security (1 work) · Construction engineering (1 work) · earthquake and tectonic studies (1 work) · Emergency response (1 work) · Engineering (1 work)