Giovanni Mochi
Dados Biográficos
| ID | 96240 |
|---|---|
| NOME | Giovanni Mochi |
| PRENOMES | Giovanni |
| SOBRENOME | Mochi |
| ASSINATURA | MOCHI G |
| AFILIAÇÕES | University of Perugia |
| ORCID | 0000-0003-3213-5965 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Evaluating strategies for single to multi-risk mitigation in urban public open spaces
Neural networks for the rapid seismic assessment of existing moment-frame RC buildings
The study presented in this paper analyses and investigates the possibility of introducing a general and rapid methodology based on an artificial neural network (ANN) to assess the seismic response of existing reinforced concrete (RC) buildings. Starting from investigations carried out on buildings located in the outskirts of Bologna, 928 finite element models have been developed on the basis of the most recurrent data. The input parameters repre…
Urban morphology parameters towards multi-risk scenarios for squares in the historical centers
The historical built environment (HBE) in urban areas is prone to disasters, which threaten both people and the historical built heritage itself. In such a scenario, risks depend on the combination between different possible (multi-) hazards (including climate change-related ones), the vulnerability and exposure of HBE users, and the physical (morphology-, typology- and construction-related) features of the HBE. In this context, squares are relev…
Seismic risk of Open Spaces in Historic Built Environments
Earthquakes affect the safety of the users hosted in both indoor and outdoor urban built environments, especially in Historic Built Environments (HBEs). Many full HBE-scale risk-assessment methods are defined, while methodologies oriented to local analysis of meso-scale elements, such as Open Spaces (OSs), are still limited. Nevertheless, OSs play a crucial role in the first emergency phases, like in the evacuation process, since they host emerge…
Urban morphology parameters towards multi-risk scenarios for squares in the historical centers
The historical built environment (HBE) in urban areas is prone to disasters, which threaten both people and the historical built heritage itself. In such a scenario, risks depend on the combination between different possible (multi-) hazards (including climate change-related ones), the vulnerability and exposure of HBE users, and the physical (morphology-, typology- and construction-related) features of the HBE. In this context, squares are relev…
Seismic risk of Open Spaces in Historic Built Environments
Earthquakes affect the safety of the users hosted in both indoor and outdoor urban built environments, especially in Historic Built Environments (HBEs). Many full HBE-scale risk-assessment methods are defined, while methodologies oriented to local analysis of meso-scale elements, such as Open Spaces (OSs), are still limited. Nevertheless, OSs play a crucial role in the first emergency phases, like in the evacuation process, since they host emerge…
Neural networks for the rapid seismic assessment of existing moment-frame RC buildings
The study presented in this paper analyses and investigates the possibility of introducing a general and rapid methodology based on an artificial neural network (ANN) to assess the seismic response of existing reinforced concrete (RC) buildings. Starting from investigations carried out on buildings located in the outskirts of Bologna, 928 finite element models have been developed on the basis of the most recurrent data. The input parameters repre…
Urban morphology parameters towards multi-risk scenarios for squares in the historical centers
The historical built environment (HBE) in urban areas is prone to disasters, which threaten both people and the historical built heritage itself. In such a scenario, risks depend on the combination between different possible (multi-) hazards (including climate change-related ones), the vulnerability and exposure of HBE users, and the physical (morphology-, typology- and construction-related) features of the HBE. In this context, squares are relev…
Evaluating strategies for single to multi-risk mitigation in urban public open spaces
Computer Science (3 obras) · Artificial Intelligence (2 obras) · Business (2 obras) · Engineering (2 obras) · Environmental planning (2 obras) · Geography (2 obras) · Urban Design and Spatial Analysis (2 obras) · Urban Green Space and Health (2 obras) · Artificial neural network (1 obras) · BIM and Construction Integration (1 obras)