Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Thermal NDE enhanced by 3D numerical modelling applied to works of art
Autore:
Grinzato, E; Bison, PG; Marinetti, S; Vavilov, V;
Indirizzi:
CNR, ITEF, I-37127 Padua, Italy CNR Padua Italy I-37127CNR, ITEF, I-37127 Padua, Italy Tomsk Polytech Univ, Tomsk 634028, Russia Tomsk Polytech Univ Tomsk Russia 634028 ytech Univ, Tomsk 634028, Russia
Titolo Testata:
INSIGHT
fascicolo: 4, volume: 43, anno: 2001,
pagine: 254 - 259
SICI:
1354-2575(200104)43:4<254:TNEB3N>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
VISUALIZATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Grinzato, E CNR, ITEF, Corso Stati Uniti 4, I-37127 Padua, Italy CNR CorsoStati Uniti 4 Padua Italy I-37127 7127 Padua, Italy
Citazione:
E. Grinzato et al., "Thermal NDE enhanced by 3D numerical modelling applied to works of art", INSIGHT, 43(4), 2001, pp. 254-259

Abstract

The international literature frequently presents optical techniques that are suitable for the comprehensive testing of valuable paintings. Nevertheless there are still some problems that are still unsolved, but infrared thermography (IR) has the potential to solve them. Unfortunately, results are not fully satisfying, mainly due to the limited reliability and the lack of a standardised procedure. Nevertheless, a review of the more recent algorithms associated with thermal non-destructive testing and evaluation shows the enormous progress of this method and the new features of modern equipment. However, even if it is a matter of direct observation in some fields, sucha aerospace, this progress is not found in works of art. The main reasons are strict controls and inconsistencies typical of this application field. Analysing different reports in specialised journals, a completely new approach in one field may seem mature in another. Nowadays, mathematical modelling of the involved thermal problem supports a quantitative and precise testing and evaluation of extended fresco surfaces. The state-of-the-art indicates direct use of simulation in optimising the testing procedure. Furthermore, the solution of the direct problem allows setting up the function needed for the characterisation of defects. In this paper a totally new approach is presented, where thermal modelling allows automating the data processing, improving results. For several years, we have been studying peculiarities of detecting defects in real historical frescoes in situ, using also realistic specimens in a controlled lab environment. References and theoretical bases are given on detecting defects that are located at different depths, having different sizes. All achieved results are reported together with limiting factors, mainly due to the painted surface. Until now, in thermal non-destructive testing, all existing algorithms of data processing do not take into account 3D heat diffusion phenomena. In particular, lateral heat conduction generates false alarms and artifacts whendata are processed by means of algorithms implementing a simplified 1D model. In this study, an adaptive procedure is proposed to dynamically processexperimental data. By this means, artificial image sequences giving the thermal evolution of sound materials are computed, starting from initial experimental conditions. The usefulness of this approach is demonstrated, especially for the characterisation of defects buried on fresco, where surface clutter is especially significant. A fresco has been modelled with a multi-layer slab. The numerical scheme implemented has enabled us to simulate processes of dynamic heating. Experimental results are reported on plaster specimens containing a few artificialdefects at different depths and tested with alternative optical NDT method. A tomography of the fresco is obtained under fast transient thermal state.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 07:08:18