Point Cloud Exploitation for Structural Modeling and Analysis: A Reliable Workflow

Lucidi, A.; Giordano, Ersilia; Clementi, Francesco; Quattrini, Ramona

doi:10.5194/isprs-archives-xliii-b2-2021-891-2021

Cited by 5 publications

(1 citation statement)

References 26 publications

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“…Bruno and Roncella 2019 [8] set the basis to solve the first issue, focusing attention on non-geometrical information management in HBIM by using, as a case study, the Cathedral of Parma (Italy). One of the first efforts to consider the second issue was proposed, e.g., in [26][27][28][29][30]. Additional improvements can still be introduced in terms of (i) dataset management, (ii) graphical user interface development specific to CH, (iii) storage and handling of monitoring data, and (iv) passing information to numerical models for structural and conservation purposes.…”

Section: Introductionmentioning

confidence: 99%

Insight on HBIM for Conservation of Cultural Heritage: The Galleria dell’Accademia di Firenze

Monchetti,

Betti,

Borri

et al. 2023

Heritage

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The application of Building Information Modeling (BIM) on historic constructions is investigated in this paper by discussing, as a representative case study, the Galleria dell’Accademia di Firenze (Italy), thus showing as this tool can be used effectively for the management and maintenance activities of a historic museum. In fact, while BIM is already well-known as a powerful tool for the design and management of new buildings, its development in the field of historical construction is currently growing and attracting increasing interest in the scientific community. This paper proposes, in particular, an Information Model (IM) aimed to collect the structural information to be subsequently employed for numerical modeling of the building, thus representing the link between the real world and the computational models. The possibility to handle different types of information to be used for the management, maintenance, and modeling of existing constructions, as shown in this paper, encourages the popularization of this approach as an effective method to support cultural heritage (CH) conservation.

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Section: Introductionmentioning

confidence: 99%

Insight on HBIM for Conservation of Cultural Heritage: The Galleria dell’Accademia di Firenze

Monchetti,

Betti,

Borri

et al. 2023

Heritage

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Automated image-based generation of finite element models for masonry buildings

Pantoja-Rosero

Achanta

Beyer

2023

Bull Earthquake Eng

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To predict the response of masonry buildings to various types of loads, engineers use finite element models, specifically solid-element and macro-element models. For predicting masonry responses to seismic events in particular, equivalent frame models—a subcategory of macro-element models—are a common choice because of their low computational cost. However, an existing bottleneck in modeling pipelines is generating the geometry of the model, which is currently a slow and laborious process that is done manually using computer-aided design tools. In this paper, we address this by automating the modelling process using recent advancements in computer vision and machine learning. We present an image-based end-to-end pipeline that automatically generates finite element meshes for solid-element and equivalent-frame models of the outer walls of free-standing historical masonry buildings. As the input, our framework requires RGB images of the buildings that are processed using structure-from-motion algorithms, which create 3D geometries, and convolutional neural networks, which segment the openings and their corners. These layers are then combined to generate level of detail models. We tested our pipeline on structures with irregular surface geometries and opening layouts. While generating the solid element mesh from the level of detail model is straightforward, generating equivalent frame models required algorithms for segmenting the façade and the meshing. Experts in the field analyzed the generated equivalent frame models and determined them to be useful for numerical modeling. These finite element geometries will be invaluable for future predictions of the seismic response of damaged and undamaged buildings. The codes and dataset are publicly available for future studies and benchmarking (https://github.com/eesd-epfl/FEM_buildings and https://doi.org/10.5281/zenodo.8094306).

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Shaping Digital Twin Concept for Built Cultural Heritage Conservation: A Systematic Literature Review

Vuoto,

Funari,

Lourenço

2023

International Journal of Architectural Heritage

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Point Cloud Exploitation for Structural Modeling and Analysis: A Reliable Workflow

Cited by 5 publications

References 26 publications

Insight on HBIM for Conservation of Cultural Heritage: The Galleria dell’Accademia di Firenze

Insight on HBIM for Conservation of Cultural Heritage: The Galleria dell’Accademia di Firenze

Automated image-based generation of finite element models for masonry buildings

Shaping Digital Twin Concept for Built Cultural Heritage Conservation: A Systematic Literature Review

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