A novel, integrated framework is proposed to assess the vulnerability of a case study unreinforced masonry (URM) Italian church by applying interacting modern tools including unmanned aircraft systems (UAS), “structure from motion” (SfM) photogrammetric survey equipment and software, and finite element method (FEM) analysis software in a complete heritage building information model (HBIM). The FEM model was used to perform both a modal response spectrum analysis and a validation pushover using stiffness adaptation analysis (SAA) to investigate the global behavior of the church and to identify the most critical local mechanisms for collapse potential. Once the most vulnerable components of the church were identified, macro-block analysis was used to estimate the capacity of these collapse mechanisms. Macro-block analysis is well established in the field and was proposed for use as one step in the proposed integrated framework with the aim of providing a holistic methodology that is sophisticated enough to identify the most vulnerable elements of URM churches, but also practical and efficient enough to be applied by practitioners. Traditionally, obtaining the necessary geometric information to correctly conduct the macro-block analysis of such complex buildings requires time-demanding and expensive surveying campaigns. Furthermore, accurately and precisely identifying the local failure mechanisms most influential to macro-block behavior is numerically demanding. The novelty of the current research detailed herein regards a proposed comprehensive seismic vulnerability analysis of historic URM churches with increased efficiency and accuracy of surveying and capacity modeling using modern tools in a fashion approachable by practitioners.

提出了一个新颖的集成框架，通过应用包括无人飞机系统（UAS），“运动结构”（SfM）摄影测量设备和软件在内的相互作用的现代工具，来评估案例研究无筋砌筑（URM）意大利教堂的脆弱性；以及完整的遗产建筑信息模型（HBIM）中的有限元方法（FEM）分析软件。FEM模型用于执行模态响应谱分析和使用刚度适应分析（SAA）进行的验证推覆，以调查教堂的整体行为并确定最可能导致坍塌的局部机制。一旦确定了教会中最易受伤害的部分，便使用宏块分析来估计这些崩溃机制的能力。宏块分析已在该领域中建立了良好的基础，并被提议用作拟议的集成框架中的一个步骤，目的是提供一种整体方法，该方法足够复杂，可以识别URM教堂中最脆弱的元素，但又实用又有效足以被从业者应用。传统上，获得必要的几何信息以正确执行此类复杂建筑物的宏块分析需要耗时且昂贵的测量工作。此外，在数字上要求精确而精确地识别对宏块行为最有影响的局部故障机制。