Fabrizio Paolacci
Biographic Data
| ID | 8102492 |
|---|---|
| NAME | Fabrizio Paolacci |
| GIVEN NAMES | Fabrizio |
| FAMILY NAME | Paolacci |
| SIGNATURE | PAOLACCI F |
| AFFILIATIONS | Roma Tre University |
| ORCID | 0000-0003-2724-4809 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Portfolio-scale seismic fragility of RC bridge columns with series-distributed neural networks
This paper proposes a novel series-distributed artificial neural network framework for rapidly constructing seismic fragility curves of reinforced-concrete (RC) bridge columns at markedly reduced computational cost. Three coupled surrogate models are trained on datasets generated from nonlinear time-history and pushover analyses of RC piers with randomly sampled geometric and material properties subjected to hazard-consistent ground motions. The …
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…
A performance-based NaTech risk assessment methodology for hydrocarbon pipelines subjected to landslides
Distributed gas and oil pipelines often cross areas prone to landslides. According to the Eu Directive 2012/18/UE, known also as Seveso III, the risk to people and community served by the pipeline should be assessed. If the need is clear, the state of the art on available methods to solve this peculiar problem is limited. Methods to calculate NaTech risk according to a performance-based approach have already been proposed, especially for hazardou…
A novel approach for seismic risk assessment of porcelain cylindrical electrical equipment
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…
A performance-based NaTech risk assessment methodology for hydrocarbon pipelines subjected to landslides
Distributed gas and oil pipelines often cross areas prone to landslides. According to the Eu Directive 2012/18/UE, known also as Seveso III, the risk to people and community served by the pipeline should be assessed. If the need is clear, the state of the art on available methods to solve this peculiar problem is limited. Methods to calculate NaTech risk according to a performance-based approach have already been proposed, especially for hazardou…
A novel approach for seismic risk assessment of porcelain cylindrical electrical equipment
Portfolio-scale seismic fragility of RC bridge columns with series-distributed neural networks
This paper proposes a novel series-distributed artificial neural network framework for rapidly constructing seismic fragility curves of reinforced-concrete (RC) bridge columns at markedly reduced computational cost. Three coupled surrogate models are trained on datasets generated from nonlinear time-history and pushover analyses of RC piers with randomly sampled geometric and material properties subjected to hazard-consistent ground motions. The …
Engineering (3 works) · Environmental Science (3 works) · Forensic engineering (3 works) · Seismic Performance and Analysis (3 works) · Business (2 works) · Civil engineering (2 works) · Computer Science (2 works) · Construction engineering (2 works) · Structural Health Monitoring Techniques (2 works) · Artificial neural network (1 work)