This study proposes an integrated approach to the conservation and restoration of historic masonry buildings by combining advanced techniques in computer vision, photogrammetry, numerical modelling, and micromodelling. Using drones and laser scanners for three-dimensional acquisition of masonry surfaces, a detailed 3D model is generated, allowing for the analysis of defects and deterioration of structures. The mechanical behaviour of masonry is simulated through finite element analysis, using a damage and plasticity model to assess material properties and structural response under different loading conditions. The results obtained enable the mapping of structural vulnerabilities, simulation of the effect of dynamic forces, and prediction of masonry behaviour under seismic scenarios. The proposed approach offers an accurate method for analysing and planning restoration interventions, based on quantitative data and reliable predictive models, with significant implications for the conservation of historic architectural heritage.

Detailed FEM Micro-Modeling for Masonry Building: A Case Study

Scuro, Carmelo
2025-01-01

Abstract

This study proposes an integrated approach to the conservation and restoration of historic masonry buildings by combining advanced techniques in computer vision, photogrammetry, numerical modelling, and micromodelling. Using drones and laser scanners for three-dimensional acquisition of masonry surfaces, a detailed 3D model is generated, allowing for the analysis of defects and deterioration of structures. The mechanical behaviour of masonry is simulated through finite element analysis, using a damage and plasticity model to assess material properties and structural response under different loading conditions. The results obtained enable the mapping of structural vulnerabilities, simulation of the effect of dynamic forces, and prediction of masonry behaviour under seismic scenarios. The proposed approach offers an accurate method for analysing and planning restoration interventions, based on quantitative data and reliable predictive models, with significant implications for the conservation of historic architectural heritage.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/198176
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