Cargando…

A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results

This paper presents first laboratory results of a combined approach carried out by the use of three different portable non-invasive electromagnetic methods: Digital holographic speckle pattern interferometry (DHSPI), stimulated infrared thermography (SIRT) and holographic subsurface radar (HSR), pro...

Descripción completa

Detalles Bibliográficos
Autores principales: Chaban, Antonina, Tornari, Vivi, Deiana, Rita, Andrianakis, Michalis, Giovannacci, David, Detalle, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320949/
https://www.ncbi.nlm.nih.gov/pubmed/34460496
http://dx.doi.org/10.3390/jimaging5060058
_version_ 1783730734952873984
author Chaban, Antonina
Tornari, Vivi
Deiana, Rita
Andrianakis, Michalis
Giovannacci, David
Detalle, Vincent
author_facet Chaban, Antonina
Tornari, Vivi
Deiana, Rita
Andrianakis, Michalis
Giovannacci, David
Detalle, Vincent
author_sort Chaban, Antonina
collection PubMed
description This paper presents first laboratory results of a combined approach carried out by the use of three different portable non-invasive electromagnetic methods: Digital holographic speckle pattern interferometry (DHSPI), stimulated infrared thermography (SIRT) and holographic subsurface radar (HSR), proposed for the analysis of a custom-built wall mosaic model. The model reproduces a series of defects (e.g., cracks, voids, detachments), simulating common deteriorated, restored or reshuffled areas in wall mosaics. DHSPI and SIRT, already well known in the field of non-destructive (NDT) methods, are full-field contactless techniques, providing complementary information on the subsurface hidden discontinuities. The use of DHSPI, based on optical imaging and interferometry, provides remote control and visualization of surface micro-deformation after induced thermal stress, while the use of SIRT allows visualization of thermal energy diffusion in the surface upon the induced thermal stress. DHSPI and SIRT data are complemented by the use of HSR, a contact method that provides localized information about the distribution of contrasts in dielectric permittivity and related possible anomalies. The experimental results, made by the combined use of these methods to the identification of the known anomalies in the mosaic model, are presented and discussed here as a contribution in the development of an efficient non-invasive approach to the in-situ subsurface analysis of ancient wall mosaics.
format Online
Article
Text
id pubmed-8320949
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-83209492021-08-26 A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results Chaban, Antonina Tornari, Vivi Deiana, Rita Andrianakis, Michalis Giovannacci, David Detalle, Vincent J Imaging Article This paper presents first laboratory results of a combined approach carried out by the use of three different portable non-invasive electromagnetic methods: Digital holographic speckle pattern interferometry (DHSPI), stimulated infrared thermography (SIRT) and holographic subsurface radar (HSR), proposed for the analysis of a custom-built wall mosaic model. The model reproduces a series of defects (e.g., cracks, voids, detachments), simulating common deteriorated, restored or reshuffled areas in wall mosaics. DHSPI and SIRT, already well known in the field of non-destructive (NDT) methods, are full-field contactless techniques, providing complementary information on the subsurface hidden discontinuities. The use of DHSPI, based on optical imaging and interferometry, provides remote control and visualization of surface micro-deformation after induced thermal stress, while the use of SIRT allows visualization of thermal energy diffusion in the surface upon the induced thermal stress. DHSPI and SIRT data are complemented by the use of HSR, a contact method that provides localized information about the distribution of contrasts in dielectric permittivity and related possible anomalies. The experimental results, made by the combined use of these methods to the identification of the known anomalies in the mosaic model, are presented and discussed here as a contribution in the development of an efficient non-invasive approach to the in-situ subsurface analysis of ancient wall mosaics. MDPI 2019-06-10 /pmc/articles/PMC8320949/ /pubmed/34460496 http://dx.doi.org/10.3390/jimaging5060058 Text en © 2019 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Chaban, Antonina
Tornari, Vivi
Deiana, Rita
Andrianakis, Michalis
Giovannacci, David
Detalle, Vincent
A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results
title A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results
title_full A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results
title_fullStr A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results
title_full_unstemmed A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results
title_short A Combined Non-Invasive Approach to the Study of A Mosaic Model: First Laboratory Experimental Results
title_sort combined non-invasive approach to the study of a mosaic model: first laboratory experimental results
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320949/
https://www.ncbi.nlm.nih.gov/pubmed/34460496
http://dx.doi.org/10.3390/jimaging5060058
work_keys_str_mv AT chabanantonina acombinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT tornarivivi acombinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT deianarita acombinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT andrianakismichalis acombinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT giovannaccidavid acombinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT detallevincent acombinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT chabanantonina combinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT tornarivivi combinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT deianarita combinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT andrianakismichalis combinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT giovannaccidavid combinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults
AT detallevincent combinednoninvasiveapproachtothestudyofamosaicmodelfirstlaboratoryexperimentalresults