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Statistical analysis on ancient mortars: A case study of the Balivi Tower in Aosta (Italy)

Articolo
Data di Pubblicazione:
2013
Abstract:
This study proposes a first approach to the characterization of the composition and degradation products of historical mortars and their classification through chemometric analysis. This work also aimed at comparing the usefulness and applicability of analytical techniques that are commonly used for mortar examination. Calcimetry, Thermogravimetric Analysis (TGA) and Differential Thermal Analysis (DTA), Ionic Chromatography (IC) and Fourier Transform Infrared Spectroscopy (FT-IR) were used to analyse a number of samples collected from the quadrangular Tower of the Balivi Complex in Aosta (Italy). Cluster Analysis and Principal Components Analysis (PCA) were carried out on the analytical results, and the accordance and the relevance of the results were evaluated. The role of the variables on the samples description and their correlation were evaluated. The results showed the division of the samples into groups that were probably due to the presence of different mortar types manufactured in different periods. Furthermore, an irregular degradation pattern on the four facades and at different heights of the tower was highlighted.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Chemometric analysis; Degradation patterns; Degradation products; Differential thermal analyses (DTA); Fourier transform infra red (FTIR) spectroscopy; Ionic chromatography; Principal components analysis; Thermo-gravimetric; Chromatography; Cluster analysis; Degradation; Differential thermal analysis; Fourier transform infrared spectroscopy; Mortar; Principal component analysis; Thermogravimetric analysis
Elenco autori:
Cairns, WARREN RAYMOND LEE; Botteon, Alessandra
Autori di Ateneo:
BOTTEON ALESSANDRA
CAIRNS WARREN RAYMOND LEE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/260414
Pubblicato in:
CONSTRUCTION AND BUILDING MATERIALS
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-84880284148&partnerID=40&md5=89c8a1362c5f7050e0ae13f31c98cd36
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