Publications
Efficient reproduction of heritage buildings: a new way to exploit 3D point cloud slicing : An example with the Amiens Gothic Cathedral
Researchers have developed an innovative approach to visualize complex heritage buildings using 3D point cloud slicing, addressing the challenges of data overload and computational demands. This method enables efficient reproduction of intricate structures, such as Amiens Cathedral, by breaking down dense 3D models into manageable slices for web-based systems. The study demonstrates that this technique not only reduces the need for significant computing power but also enhances user comprehension through a generative web system designed for cultural mediation. User feedback confirms the effectiveness and accessibility of this approach, offering a scalable solution for digitized heritage visualization.
Validating the Use of Graphical Thrust Line Analysis for Pier Buttresses: The Case Study of Amiens Cathedral
Graphical thrust line analysis emerges as the most appropriate method for studying pier buttresses in historic masonry structures, such as Amiens Cathedral, challenging the widespread misuse of continuous modeling techniques like photoelasticity and finite element methods. This study demonstrates that discontinuous approaches—specifically discrete element methods and graphical thrust line analysis—more accurately reflect the physical behavior of unreinforced masonry, resolving longstanding debates about structural stability, including the placement of pinnacles. By comparing results from two prior continuous models with new discontinuous analyses, the research validates graphical thrust line analysis as a reliable tool for assessing historic structures while questioning the validity of continuous methods in such contexts.
A methodology for Raman structural quantification imaging and its application to iron indoor atmospheric corrosion products
Raman structural imaging has been advanced to quantitatively analyze corrosion products on ancient iron artifacts, offering new insights into the composition and structure of indoor atmospheric corrosion layers. This study introduces a novel methodology using home-developed software, LADIR-CAT, which extracts quantitative parameters from Raman hyperspectral maps. Applied to corroded iron samples from Amiens Cathedral, France, this approach enables detailed mapping of corrosion compounds, providing a deeper understanding of the degradation processes affecting historical metal structures. The findings contribute significantly to the preservation and study of cultural heritage materials, particularly those at risk from atmospheric corrosion.
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