Nondestructive Techniques for the Assessment and Preservation of Historic Structures 2017
DOI: 10.1201/9781315168685-13
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Ground-Penetrating Radar for Archaeology and Cultural-Heritage DiagnosticsActivities Carried Out in COST Action TU1208

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Cited by 6 publications
(5 citation statements)
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“…Its non-invasive nature preserves historical structures, while its high-resolution imaging capabilities help detect hidden features, structural anomalies, and several crucial pieces of information relevant to the geophysical investigation. Moreover, GPR's depth profiling, real-time data collection, and data integration with archaeological and historical records enhance the QA/QC process [17][18][19][20][21].…”
Section: Resultsmentioning
confidence: 99%
“…Its non-invasive nature preserves historical structures, while its high-resolution imaging capabilities help detect hidden features, structural anomalies, and several crucial pieces of information relevant to the geophysical investigation. Moreover, GPR's depth profiling, real-time data collection, and data integration with archaeological and historical records enhance the QA/QC process [17][18][19][20][21].…”
Section: Resultsmentioning
confidence: 99%
“…Numerical simulations, both for the sensitivity tests and the forward modelling, were performed exploiting gprMax , version 3.1.6 (Warren et al., 2016), which is an open‐source software designed to simulate the propagation of an EM wave even in heterogenous media, by solving Maxwell's equations in 3‐D using the finite‐difference time‐domain method. The algorithm can handle complex geometries and materials distributions, being highly adaptable to model a wide range of subsurface scenarios in various fields of application, such as archaeology, civil engineering, glaciology, and hydrogeology, among others (e.g., Cheng et al., 2023; Feng et al., 2023; Haruzi et al., 2022; Hillebrand et al., 2021; Pajewski et al., 2017; Schennen et al., 2022). In order to reduce the computational costs due to model discretization, we exploited a specific module for gprMax modelling on GPU (Warren et al., 2018) and performed the inversion on Cineca Marconi 100 cluster with 2 CPUs with 16 cores 3.1 GHz, 4 NVIDIA Volta V100 16GB GPUs and 256 GB RAM per node running on GPUs and parallelized on several nodes.…”
Section: Methodsmentioning
confidence: 99%
“…The most interesting output of this WG is a wide series of real-field case studies showing how GPR can be effectively employed in well-established and emerging applications; some examples are found in [44][45][46][47]. Special attention was paid to the use of GPR for the management of cultural heritage [48][49][50][51][52].…”
Section: Cost Action Tu1208 and The Open Database Of Radargrams Initimentioning
confidence: 99%