Title
Exploiting HBIM for Historical Mud Architecture: The Huaca Arco Iris in Chan Chan (Peru)
Date Issued
01 September 2022
Access level
open access
Resource Type
journal article
Author(s)
Colosi F.
Malinverni E.S.
Pierdicca R.
Orazi R.
Di Stefano F.
Publisher(s)
MDPI
Abstract
The construction technique of raw earth, which has always been in use in most of the world, has left large monuments or architectural complexes to cultural heritage that need special attention due to the notable vulnerability of the material. A convenient way to deal this threat, besides physical intervention, is by using an information system, such as HBIM (Heritage Building Information Modeling), as a tool for damage assessment and conservation planning. This paper reports on its application in an archaeological setting, in particular, on the Huaca Arco Iris, a religious building of the old city of Chan Chan (Peru), the largest monumental complex in mud on the American continent. The study is part of the bilateral international project between the Consiglio Nazionale delle Ricerche (CNR) and the Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC) in the use of HBIM for the prediction of possible natural or anthropogenic damages to buildings in raw mud. Exploiting the data coming from the direct and indirect analyses, a dedicated ontology is built to guide the management of these data within the information system. The creation of an HBIM system for the archaeological domain, based on the trinomial data–information–knowledge, is presented and validated. Following this approach, a customizable HBIM has been created with the 3D model of the spatial entities of the Huaca. As a result, the semantic relationship of an external wall, taken as the benchmark test of our experiment, with the contained bas-relief and the conservation cover is tested.
Start page
2062
End page
2082
Volume
5
Issue
3
Language
English
OCDE Knowledge area
Ingeniería arquitectónica Arqueología Ingeniería civil
Scopus EID
2-s2.0-85138656924
Source
Heritage
ISSN of the container
25719408
Sponsor(s)
This research was funded by Consiglio Nazionale delle Ricerche (CNR, Italy) and Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC, Perú) in the frame of the bilateral agreement for scientific collaboration 2021–2022. The project received the contribution of the Italian Ministry for Foreign Affairs and International Cooperation and of the Instituto de Investigación Científica de la Universidad de Lima.
Sources of information: Directorio de Producción Científica Scopus