Precious walls built in indoor environments inspected numerically and experimentally within long-wave infrared (LWIR) and radio regions

Сфарра, Стефано; Yao, Yuan; Zhang, Hai; Perilli, Stefano; Scozzafava, M.; Avdelidis, Nicolas P.; Maldague, Xavier

doi:10.1007/s10973-019-08005-1

Cited by 24 publications

(10 citation statements)

References 27 publications

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“…Best SNR results (black numbers) regarding the detection of the water recirculation through the pipe and the water propagation from the sponge, applying PCT, PLST and PPT and following experiment 2 of reference [3]. A description of the methodology here applied can be found in [4].…”

Section: Resultsmentioning

confidence: 99%

Automatic Detection and Delimitation of Internal Moisture in Mosaics from Thermographic Sequences. Experimental Tests

Garrido

Lagüela

Сфарра

et al. 2019

The 15th International Workshop on Advanced Infrared Technology and Applications

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InfraRed Thermography, IRT, is one of the most recent techniques to monitor heritage elements, finding existing pathologies in order to implement the required maintenance tasks. However, most IRT results on cultural heritage are interpreted subjectively. Then, this work presents a methodology for the automatic detection and delimitation of moisture inside a heritage element, a mosaic in this case, from a thermographic sequence, based on the analysis of the temperature distribution of the thermal images acquired. Comparing the experimental test results with typical thermographic algorithms, the detection performance of the algorithm proposed was similar, but the new method is able to delimit and automate the whole process.

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Section: Resultsmentioning

confidence: 99%

Automatic Detection and Delimitation of Internal Moisture in Mosaics from Thermographic Sequences. Experimental Tests

Garrido

Lagüela

Сфарра

et al. 2019

The 15th International Workshop on Advanced Infrared Technology and Applications

Self Cite

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“…In this case, convection heat transfer results from fluid motion, where the heat transfer rate is coupled to the fluid flow solution; the rate of heat transfer is strongly dependent on fluid velocity and fluid properties, and fluid properties may vary significantly with temperature. Also, the velocity depends on the viscosity of the fluid [ 51 ].…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT

Lerma

Borràs

Más

et al. 2021

Sensors

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Architectural heritage, building materials and interior space are highly susceptible to temperature and relative humidity. A better knowledge of the hygrothermal dynamics inside buildings allows an adequate conservation of heritage. This work compares three non-destructive techniques (NDT), such as temperature and relative humidity sensors, finite element simulations (CFD) and thermographic pictures (IRT). The work has made it possible to carry out an assessment of the risk of condensation over a year and to identify affected periods and areas of the building. Sensors and IRT pictures provide real data to validate CFD simulations, facilitating a global analysis of the building. The results provided reflect a great concordance between the NDTs used.

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“…Regarding IRT papers of original research, Georgescu et al [ 13 ] monitored with IRT the interior of a church to evaluate improvements made after restoration works in search of moisture areas to remove. Sfarra et al [ 14 ] also analysed walls belonging to two aediculae, detecting different cracks with IRT, while Kilic [ 15 ] and Bisegna et al [ 16 ] examined a historic Ottoman building and ancient façades, respectively, using the IRT technique. In [ 15 ], the presence of concrete deterioration, water seepage, cover delamination and significant cracks were detected and, in [ 16 ], the most relevant damages produced in the structures by an earthquake are revealed.…”

Section: Introductionmentioning

confidence: 99%

Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage

Garrido

Lagüela

Сфарра

et al. 2020

Sensors

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The continuous deterioration of elements, with high patrimonial value over time, can only be mitigated or annulled through the application of techniques that facilitate the preventative detection of the possible agents of deterioration. InfraRed Thermography (IRT) is one of the most used techniques for this task. However, there are few IRT methodologies, which can automatically monitor the cultural heritage field, and are vitally important in eliminating the subjectivity in interpreting and accelerating the analysis process. In this work, a study is performed on a tessellatum layer of a mosaic to automatically: (i) Detect the first appearance of the thermal footprint of internal water, (ii) delimit the contours of the thermal footprint of internal water from its first appearance, and (iii) classify between harmful and non-harmful internal water. The study is based on the analysis of the temperature distribution of each thermal image. Five thermal images sequences are acquired during the simulation of different real situations, obtaining a set of promising results for the optimization of the thermographic inspection process, while discussing the following recommended steps to be taken in the study for future researches.

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Precious walls built in indoor environments inspected numerically and experimentally within long-wave infrared (LWIR) and radio regions

Cited by 24 publications

References 27 publications

Automatic Detection and Delimitation of Internal Moisture in Mosaics from Thermographic Sequences. Experimental Tests

Automatic Detection and Delimitation of Internal Moisture in Mosaics from Thermographic Sequences. Experimental Tests

Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT

Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage

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