In Italy, historical buildings are particularly vulnerable to extreme events, such as earthquakes, floods, and landslides often connected with extreme climatic events, without mentioning all the risks connected with vandalism, wars, and acts of terrorism. Fragility is due in part to the age of most of these buildings, as well as to their construction materials and techniques. Most of the historical buildings in Italy were built using unreinforced masonry, which can be prone to collapse or severe damage in the event of an earthquake. In addition, some buildings may have been constructed on unstable ground or in flood-prone areas such as the case of the Leaning Tower of Pisa, which further increases their vulnerability to natural disasters. Such vulnerability requires the use of all the most advanced technologies, both for monitoring and management, and the most promising one is currently the use of Digital Twin Models (DTM). Digital Twins are defined as virtual replicas of physical objects, systems, or processes that are used to simulate, monitor, and optimise their real-world counterparts [8]. They have become increasingly important in various industries, including the built environment, because of the numerous benefits they offer [9]. In general, Digital Twins allow for better understanding and management of complex systems, as they provide real-time data and insights that can help identify and address issues before they become significant problems.

USING DIGITAL TWIN MODELS (DTM) FOR MANAGING, PROTECTING AND RESTORING HISTORICAL BUILDINGS / Cinquepalmi, Federico; Cumo, Fabrizio. - In: CONSERVATION SCIENCE IN CULTURAL HERITAGE. - ISSN 1974-4951. - 22:(2023), pp. 425-445.

USING DIGITAL TWIN MODELS (DTM) FOR MANAGING, PROTECTING AND RESTORING HISTORICAL BUILDINGS

federico cinquepalmi
;
fabrizio cumo
2023

Abstract

In Italy, historical buildings are particularly vulnerable to extreme events, such as earthquakes, floods, and landslides often connected with extreme climatic events, without mentioning all the risks connected with vandalism, wars, and acts of terrorism. Fragility is due in part to the age of most of these buildings, as well as to their construction materials and techniques. Most of the historical buildings in Italy were built using unreinforced masonry, which can be prone to collapse or severe damage in the event of an earthquake. In addition, some buildings may have been constructed on unstable ground or in flood-prone areas such as the case of the Leaning Tower of Pisa, which further increases their vulnerability to natural disasters. Such vulnerability requires the use of all the most advanced technologies, both for monitoring and management, and the most promising one is currently the use of Digital Twin Models (DTM). Digital Twins are defined as virtual replicas of physical objects, systems, or processes that are used to simulate, monitor, and optimise their real-world counterparts [8]. They have become increasingly important in various industries, including the built environment, because of the numerous benefits they offer [9]. In general, Digital Twins allow for better understanding and management of complex systems, as they provide real-time data and insights that can help identify and address issues before they become significant problems.
2023
digital twin models; built environment; digital cities; cultural heritage preservation
01 Pubblicazione su rivista::01a Articolo in rivista
USING DIGITAL TWIN MODELS (DTM) FOR MANAGING, PROTECTING AND RESTORING HISTORICAL BUILDINGS / Cinquepalmi, Federico; Cumo, Fabrizio. - In: CONSERVATION SCIENCE IN CULTURAL HERITAGE. - ISSN 1974-4951. - 22:(2023), pp. 425-445.
File allegati a questo prodotto
File Dimensione Formato  
Cinquepalmi_USING_2023.pdf

solo gestori archivio

Note: testo aricolo per cons science
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 8.62 MB
Formato Adobe PDF
8.62 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1688137
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 3
social impact