An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds

The aim of this work is to identify an efficient pipeline in order to build HBIM (heritage building information modelling) and create digital models to be used in structural analysis. To build accurate 3D models it is first necessary to perform a geomatics survey. This means performing a survey with...

Full description

Bibliographic Details
Main Authors: Massimiliano Pepe, Domenica Costantino, Alfredo Restuccia Garofalo
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/4/1235
_version_ 1819104455043317760
author Massimiliano Pepe
Domenica Costantino
Alfredo Restuccia Garofalo
author_facet Massimiliano Pepe
Domenica Costantino
Alfredo Restuccia Garofalo
author_sort Massimiliano Pepe
collection DOAJ
description The aim of this work is to identify an efficient pipeline in order to build HBIM (heritage building information modelling) and create digital models to be used in structural analysis. To build accurate 3D models it is first necessary to perform a geomatics survey. This means performing a survey with active or passive sensors and, subsequently, accomplishing adequate post-processing of the data. In this way, it is possible to obtain a 3D point cloud of the structure under investigation. The next step, known as “scan-to-BIM (building information modelling)”, has led to the creation of an appropriate methodology that involved the use of Rhinoceros software and a few tools developed within this environment. Once the 3D model is obtained, the last step is the implementation of the structure in FEM (finite element method) and/or in HBIM software. In this paper, two case studies involving structures belonging to the cultural heritage (CH) environment are analysed: a historical church and a masonry bridge. In particular, for both case studies, the different phases were described involving the construction of the point cloud and, subsequently, the construction of a 3D model. This model is suitable both for structural analysis and for the parameterization of rheological and geometric information of each single element of the structure.
first_indexed 2024-12-22T02:06:37Z
format Article
id doaj.art-60483c05487d4266bf42852a9d835798
institution Directory Open Access Journal
issn 2076-3417
language English
last_indexed 2024-12-22T02:06:37Z
publishDate 2020-02-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj.art-60483c05487d4266bf42852a9d8357982022-12-21T18:42:30ZengMDPI AGApplied Sciences2076-34172020-02-01104123510.3390/app10041235app10041235An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point CloudsMassimiliano Pepe0Domenica Costantino1Alfredo Restuccia Garofalo2Polytechnic of Bari, via E. Orabona 4, 70125 Bari, ItalyPolytechnic of Bari, via E. Orabona 4, 70125 Bari, ItalyAESEI Spin-off - Polytechnic of Bari, via S. Eligio 1/L, 74015 Martina Franca (Taranto), ItalyThe aim of this work is to identify an efficient pipeline in order to build HBIM (heritage building information modelling) and create digital models to be used in structural analysis. To build accurate 3D models it is first necessary to perform a geomatics survey. This means performing a survey with active or passive sensors and, subsequently, accomplishing adequate post-processing of the data. In this way, it is possible to obtain a 3D point cloud of the structure under investigation. The next step, known as “scan-to-BIM (building information modelling)”, has led to the creation of an appropriate methodology that involved the use of Rhinoceros software and a few tools developed within this environment. Once the 3D model is obtained, the last step is the implementation of the structure in FEM (finite element method) and/or in HBIM software. In this paper, two case studies involving structures belonging to the cultural heritage (CH) environment are analysed: a historical church and a masonry bridge. In particular, for both case studies, the different phases were described involving the construction of the point cloud and, subsequently, the construction of a 3D model. This model is suitable both for structural analysis and for the parameterization of rheological and geometric information of each single element of the structure.https://www.mdpi.com/2076-3417/10/4/1235scan-to-bimpoint cloudhbimfemrhinoceros
spellingShingle Massimiliano Pepe
Domenica Costantino
Alfredo Restuccia Garofalo
An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds
Applied Sciences
scan-to-bim
point cloud
hbim
fem
rhinoceros
title An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds
title_full An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds
title_fullStr An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds
title_full_unstemmed An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds
title_short An Efficient Pipeline to Obtain 3D Model for HBIM and Structural Analysis Purposes from 3D Point Clouds
title_sort efficient pipeline to obtain 3d model for hbim and structural analysis purposes from 3d point clouds
topic scan-to-bim
point cloud
hbim
fem
rhinoceros
url https://www.mdpi.com/2076-3417/10/4/1235
work_keys_str_mv AT massimilianopepe anefficientpipelinetoobtain3dmodelforhbimandstructuralanalysispurposesfrom3dpointclouds
AT domenicacostantino anefficientpipelinetoobtain3dmodelforhbimandstructuralanalysispurposesfrom3dpointclouds
AT alfredorestucciagarofalo anefficientpipelinetoobtain3dmodelforhbimandstructuralanalysispurposesfrom3dpointclouds
AT massimilianopepe efficientpipelinetoobtain3dmodelforhbimandstructuralanalysispurposesfrom3dpointclouds
AT domenicacostantino efficientpipelinetoobtain3dmodelforhbimandstructuralanalysispurposesfrom3dpointclouds
AT alfredorestucciagarofalo efficientpipelinetoobtain3dmodelforhbimandstructuralanalysispurposesfrom3dpointclouds