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In historic Mediterranean towns, masonry building clusters (MBCs) are formed over centuries through gradual construction. These clusters reflect numerous deferred interventions, often with different materials and techniques, leading to the unique and complex structures we observe today. Recognizing this complexity and the absence of standardized regulations, the 2008 Italian code introduced guidelines for structural assessment of MBCs. These guidelines allow engineers to divide MBCs into separate Structural Units (SUs) and perform simplified nonlinear analyses on each unit to assess both individual and collective seismic performance. A few years later, Technical Note DT 212, issued by the National Research Council (CNR), expanded on these guidelines to assess the reliability of existing buildings, specifically addressing MBCs. This study builds on these frameworks, introducing a specialized tool within the OpenSeesPy platform for assessing MBCs’ seismic reliability through fragility curves. Developed for efficient, large-scale seismic risk analysis, this tool integrates powerful Python libraries like Pandas and Matplotlib, enabling users to visualize territorial maps of input variables (e.g., SU structural types) and damage scenarios. Validated through numerous studies, it provides an accessible, robust solution for MBC seismic risk assessment at territorial scale.

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A Specialized OSPy Tool for Territorial Seismic Risk Analysis of Masonry Building Clusters Using Typological-Mechanical Fragility Curves

  • 会议论文

  • 发表日期：

    2025年

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  • Marco Vailati,
  • Raihan Rahmat Rabi,
  • Giorgio Monti

摘要

In historic Mediterranean towns, masonry building clusters (MBCs) are formed over centuries through gradual construction. These clusters reflect numerous deferred interventions, often with different materials and techniques, leading to the unique and complex structures we observe today. Recognizing this complexity and the absence of standardized regulations, the 2008 Italian code introduced guidelines for structural assessment of MBCs. These guidelines allow engineers to divide MBCs into separate Structural Units (SUs) and perform simplified nonlinear analyses on each unit to assess both individual and collective seismic performance. A few years later, Technical Note DT 212, issued by the National Research Council (CNR), expanded on these guidelines to assess the reliability of existing buildings, specifically addressing MBCs. This study builds on these frameworks, introducing a specialized tool within the OpenSeesPy platform for assessing MBCs’ seismic reliability through fragility curves. Developed for efficient, large-scale seismic risk analysis, this tool integrates powerful Python libraries like Pandas and Matplotlib, enabling users to visualize territorial maps of input variables (e.g., SU structural types) and damage scenarios. Validated through numerous studies, it provides an accessible, robust solution for MBC seismic risk assessment at territorial scale.