This study examines the potential of integrating sonic tomographic data with radiometrically calibrated 3D point clouds from a terrestrial laser scanner to enhance the diagnostic capabilities for masonry walls in heritage contexts. The primary objective is to combine both data sources through a semi-automated workflow that facilitates inspection and visualization. The proposed methodology is tested on several brick masonry walls constructed in the laboratory, aiming to assess the capabilities of integrating calibrated 3D point clouds with tomographic imaging. By aligning two complementary nondestructive testing techniques, the proposed approach seeks to support the development of more effective tools for the assessment of historic constructions. The integration of internal acoustic data and external surface characterization contributes to a more comprehensive representation of the structural condition. This fusion of data not only aids interpretation but also supports more informed and objective decision-making processes in conservation practices. The results highlight the potential of this method to contribute to the development of advanced, non-invasive diagnostic tools.

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Integration of Tomographic Inspections and 3D Point Clouds for Supporting the Diagnosis of Masonry Walls

  • Pablo Sanz-Honrado,
  • Rubén Santamaria-Maestro,
  • Rubén San Segundo-Camarero,
  • Javier Ortega,
  • Luis Javier Sánchez-Aparicio

摘要

This study examines the potential of integrating sonic tomographic data with radiometrically calibrated 3D point clouds from a terrestrial laser scanner to enhance the diagnostic capabilities for masonry walls in heritage contexts. The primary objective is to combine both data sources through a semi-automated workflow that facilitates inspection and visualization. The proposed methodology is tested on several brick masonry walls constructed in the laboratory, aiming to assess the capabilities of integrating calibrated 3D point clouds with tomographic imaging. By aligning two complementary nondestructive testing techniques, the proposed approach seeks to support the development of more effective tools for the assessment of historic constructions. The integration of internal acoustic data and external surface characterization contributes to a more comprehensive representation of the structural condition. This fusion of data not only aids interpretation but also supports more informed and objective decision-making processes in conservation practices. The results highlight the potential of this method to contribute to the development of advanced, non-invasive diagnostic tools.