The digital documentation of heritage masonry buildings has recently become an area of research concern, particularly in countries with a rich cultural heritage such as Italy, due to the increasing recognition of the cultural value of these structures. Thus, the rapid pace of technology with respect to 3D modeling, especially Building Information Modeling (BIM) technology, has expedited the digitalization process of these structures and given them the potential to be reproducible and obtainable. Accordingly, several recent studies have mainly sought to unearth the most efficient and effective BIM modeling approaches for documenting these buildings. The primary objective of these studies is to use an innovative modeling technique to develop highly detailed HBIM models of historical masonry structures efficiently and affordably. The researcher of this paper has undertaken a comprehensive review in 2022 of over 700 of these studies that were published between 2017 and 2021 (Ben (2023). Development and Application of an Intelligent Modeling Process for Heritage Masonry Structures in Bim Applications: Literature Review.). Upon the review, it was noted that less than 10% of these researches had achieved pioneering and semi-automatic approaches for modeling the historical masonry buildings. Therefore, further studies will be necessary to find more efficient approaches, and this paper will provide a solid basis for future research on this topic by featuring a comparative study of two different workflows to model historical masonry elements. The examined workflows are demonstrated in; Modern Manual Workflow (MMW) and Automatic Python Workflow (APW). Both workflows will be applied to two case studies to determine their performances. The two chosen case studies, both of which are located in culturally significant locations; Chiesa di S. Giovanni in Val di Lago outside the town of San Lorenzo Nuovo in Lazio, and Bramante’s nymphaeum in Genazzano, Rome. The point clouds of these two structures have been employed to examine the two workflows. The first workflow (MMW) is widely used in research laboratories and engineering offices, and it is well-followed among 3D modelers. It involves sequential utilization of various 3D design softwares in a linear one-directional flow, with a repetition of this process being mandated in the case of failure or breakdown. In contrast, the APW is based on the Python programming language to automate the entire process. While the MMW is done manually and the APW is an automatic process, this study is empirical in its approach and is not intended to evaluate the speed and output of the workflows, since the result is indisputable. On the contrary, the paper aims to present a quick solution for the modeling process with the preciseness of the outcome with lower time complexity. This solution depends on Python, which automatically implements the process and facilitates our workflows as architects and 3D modelers. The APW has proven itself as a practical and efficient solution for this modeling process. Once the code for the conversion procedure is located, the operation will take a few minutes to complete and the meshes can be attained. Even though it was evident that the length of the process was directly related to the size and density of the point cloud, the duration of the APW’s operations shall not surpass the total time of the MMW.

The Impact of Scripting on the Documentation Process of the Historic Masonry Structures

会议论文
发表日期：

2025年

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Sara Ben Lashihar

摘要

The digital documentation of heritage masonry buildings has recently become an area of research concern, particularly in countries with a rich cultural heritage such as Italy, due to the increasing recognition of the cultural value of these structures. Thus, the rapid pace of technology with respect to 3D modeling, especially Building Information Modeling (BIM) technology, has expedited the digitalization process of these structures and given them the potential to be reproducible and obtainable. Accordingly, several recent studies have mainly sought to unearth the most efficient and effective BIM modeling approaches for documenting these buildings. The primary objective of these studies is to use an innovative modeling technique to develop highly detailed HBIM models of historical masonry structures efficiently and affordably. The researcher of this paper has undertaken a comprehensive review in 2022 of over 700 of these studies that were published between 2017 and 2021 (Ben (2023). Development and Application of an Intelligent Modeling Process for Heritage Masonry Structures in Bim Applications: Literature Review.). Upon the review, it was noted that less than 10% of these researches had achieved pioneering and semi-automatic approaches for modeling the historical masonry buildings. Therefore, further studies will be necessary to find more efficient approaches, and this paper will provide a solid basis for future research on this topic by featuring a comparative study of two different workflows to model historical masonry elements. The examined workflows are demonstrated in; Modern Manual Workflow (MMW) and Automatic Python Workflow (APW). Both workflows will be applied to two case studies to determine their performances. The two chosen case studies, both of which are located in culturally significant locations; Chiesa di S. Giovanni in Val di Lago outside the town of San Lorenzo Nuovo in Lazio, and Bramante’s nymphaeum in Genazzano, Rome. The point clouds of these two structures have been employed to examine the two workflows. The first workflow (MMW) is widely used in research laboratories and engineering offices, and it is well-followed among 3D modelers. It involves sequential utilization of various 3D design softwares in a linear one-directional flow, with a repetition of this process being mandated in the case of failure or breakdown. In contrast, the APW is based on the Python programming language to automate the entire process. While the MMW is done manually and the APW is an automatic process, this study is empirical in its approach and is not intended to evaluate the speed and output of the workflows, since the result is indisputable. On the contrary, the paper aims to present a quick solution for the modeling process with the preciseness of the outcome with lower time complexity. This solution depends on Python, which automatically implements the process and facilitates our workflows as architects and 3D modelers. The APW has proven itself as a practical and efficient solution for this modeling process. Once the code for the conversion procedure is located, the operation will take a few minutes to complete and the meshes can be attained. Even though it was evident that the length of the process was directly related to the size and density of the point cloud, the duration of the APW’s operations shall not surpass the total time of the MMW.