This paper addresses the challenge of assessing and preserving the structural safety of traditional masonry constructions by testing a simplified numerical method for masonry walls collapse prediction, proposed by the authors in the previous paper in Part. 1 of this volume. The method, developed in a visual scripting environment, incorporates linear programming optimization within a CAD-integrated platform, Grasshopper with Python, enabling the modeling of geometry, load definition and collapse load multiplier calculation. Through a real masonry building located in Bova, the proposed tool is evaluated for its practi-cality and effectiveness in facilitating fast and intuitive structural assessments, particularly in post-earthquake scenarios or severe damaged urban contexts. The results demonstrate the efficiency of the proposed approach to support rapid decision-making while ensuring the reliability of safety evaluations in masonry structures.

Assessment of Local Collapse in Masonry Walls through Visual Programming: A Full-Scale Benchmark in the Historical Center of Bova, Italy / Lasorella, M.; Percolla, G.; Pisano, A. A.; Fuschi, P.. - 1291:(2026), pp. 206-218. [10.1007/978-3-032-11926-1_13]

Assessment of Local Collapse in Masonry Walls through Visual Programming: A Full-Scale Benchmark in the Historical Center of Bova, Italy

Percolla G.;Pisano A. A.;Fuschi P.
2026-01-01

Abstract

This paper addresses the challenge of assessing and preserving the structural safety of traditional masonry constructions by testing a simplified numerical method for masonry walls collapse prediction, proposed by the authors in the previous paper in Part. 1 of this volume. The method, developed in a visual scripting environment, incorporates linear programming optimization within a CAD-integrated platform, Grasshopper with Python, enabling the modeling of geometry, load definition and collapse load multiplier calculation. Through a real masonry building located in Bova, the proposed tool is evaluated for its practi-cality and effectiveness in facilitating fast and intuitive structural assessments, particularly in post-earthquake scenarios or severe damaged urban contexts. The results demonstrate the efficiency of the proposed approach to support rapid decision-making while ensuring the reliability of safety evaluations in masonry structures.
2026
9783032119254
9783032119261
masonry wall collapse cdot limit load prediction cdot visual programming cdot full-scale benchmark
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/163867
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