Numerical modelling of architectonic structures' thermal response. Laboratory and in-situ data analysis

Numerical codes were developed to model the heat transfer in inhomogeneous media, both in 1D and 2D cases, by solving the forward thermal problem through the Finite Difference method. Such codes were first validated through Pulse Thermography measurements on a specimen simulating a damaged wall structure. Then, the codes were applied for quantitative analysis of experimental data acquired in the Marcus Fabius Rufus’ House (Pompeii, Italy). In particular, modelling of temperature transients allowed to define both nature and depth of the thermal anomaly sources, which provides important contributions to possible future restoration.

[1]  G. Recktenwald Finite-Difference Approximations to the Heat Equation , 2004 .

[2]  Ralf Arndt,et al.  Development and test of a numerical model for pulse thermography in civil engineering , 2010 .

[3]  Carosena Meola,et al.  New Insights for Conservation of Villa Imperiale (Pompeii, Italy) Through Nondestructive Exploration , 2012 .

[4]  Taras Gerya,et al.  Introduction to Numerical Geodynamic Modelling , 2010 .

[5]  Giovanni Maria Carlomagno,et al.  REVIEW ARICLE: Recent advances in the use of infrared thermography , 2004 .

[6]  D. P. Almond,et al.  An artificial neural network interpreter for transient thermography image data , 1997 .

[7]  J. Sun Analysis of Pulsed Thermography Methods for Defect Depth Prediction , 2006 .

[8]  Syed Abdul Rahman Syed Abu Bakar,et al.  Defect depth estimation in passive thermography using neural network paradigm , 2007 .

[9]  Xavier Maldague,et al.  Theory and Practice of Infrared Technology for Nondestructive Testing , 2001 .

[10]  Maurizio Fedi,et al.  The contribution of geophysical prospecting in the reconstruction of the buried ancient environments of the house of Marcus Fabius Rufus (Pompeii, Italy) , 2010 .

[11]  Hichem Sahli,et al.  Finite-Difference Methods and Validity of a Thermal Model for Landmine Detection With Soil Property Estimation , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Xavier Maldague,et al.  Thermographic Nondestructive Evaluation: Data Inversion Procedures Part II: 2-D Analysis and Experimental Results , 1991 .

[13]  Herbert Wiggenhauser,et al.  Application of quantitative impulse thermography for structural evaluation in civil engineering – Comparison of experimental results and numerical simulations , 2002 .

[14]  Carosena Meola Infrared thermography of masonry structures , 2007 .

[15]  J.-C. Krapez,et al.  Thermal defectometry using the temperature decay rate method , 1994 .

[16]  Hichem Sahli,et al.  Detection of perturbations in thermal IR signatures: an inverse problem for buried land mine detection , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[17]  Cataldo Guaragnella,et al.  Defect detection in aircraft composites by using a neural approach in the analysis of thermographic images , 2005 .

[18]  Xavier Maldague,et al.  Pulse thermography applied on a complex structure sample: comparison and analysis of numerical and experimental results , 2007 .

[19]  Herbert Wiggenhauser,et al.  Quantitative impulse-thermography as non-destructive testing method in civil engineering - Experimental results and numerical simulations , 2005 .