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

2020 ◽  
Vol 10 (4) ◽  
pp. 1235 ◽  
Author(s):  
Massimiliano Pepe ◽  
Domenica Costantino ◽  
Alfredo Restuccia Garofalo
Keyword(s):  
Structural Analysis ◽  
Case Studies ◽  
Point Cloud ◽  
3D Model ◽  
Point Clouds ◽  
Single Element ◽  
Building Information Modelling ◽  
Information Modelling ◽  
3D Point Clouds ◽  
Building Information

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.

scholarly journals A proposal of a 3D segmentation tool for HBIM management

2021 ◽  
Author(s):  
Vincenzo Barrile ◽  
Antonino Fotia
Keyword(s):  
Cultural Heritage ◽  
3D Model ◽  
Laser Scanner ◽  
Perfect Reconstruction ◽  
Building Information Modelling ◽  
Information Modelling ◽  
South Italy ◽  
Building Information ◽  
Heritage Building ◽  
Modelling Techniques

AbstractThere are several studies related to the cultural heritage digitization through HBIM (Heritage Building Information Modelling) techniques. Today, BIM (Building Information Modelling) software cannot represent old buildings with complex prominent and particularly detailed architecture perfectly, and multiple software are combined to obtain the buildings’ representation. In this paper, in order to find an alternative way of replicating the complex details present in antique buildings, a new methodology is presented. The methodology is based on a process of direct insertion of various 3D model parts (.obj), into a BIM environment. These 3D model elements, coming from the points cloud segmentation (from UAV and Laser Scanner), are transformed in intelligent objects and interconnected to form the smart model. The methodology allows to represent detail of the objects that make up an element of cultural heritage, although not standardizable in shape. Although this methodology allows to ensure a perfect reconstruction and digital preservation and to represent the different “defects” that represent and make unique a particular object of cultural heritage, it is not however fast compared with the traditional phases of point cloud tracing and more software are necessary for data processing. The proposed methodology was tested on two specific structures’ reconstruction in Reggio Calabria (South Italy): the Sant’Antonio Abate church and the Vitrioli’s portal.

Optimising building performance through integrating risk management and building information modelling during the design process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayman Ahmed Ezzat Othman ◽  
Fatma Othman Alamoudy
Keyword(s):  
Risk Management ◽  
Literature Review ◽  
Case Studies ◽  
Design Process ◽  
Building Performance ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information

Purpose This paper aims to develop a framework for optimising building performance through the integration between risk management (RM) and building information modelling (BIM) during the design process. Design/methodology/approach To achieve this aim, a research strategy consisting of literature review, case studies and survey questionnaire is designed to accomplish four objectives. First, to examine the concepts of design process, building performance, RM and BIM; second, to present three case studies to explain the role of using RM and BIM capabilities towards optimising building performance; third, to investigate the perception and application of architectural design firms in Egypt towards the role of RM and BIM for enhancing building performance during the design process; and finally, to develop a framework integrating RM and BIM during the design process as an approach for optimising building performance. Findings Through literature review, the research identified 18 risks that hamper optimising building performance during the design process. In addition, 11 building performance values and 20 BIM technologies were defined. Results of data analysis showed that “Design budget overrun”, “Lack of considering life cycle cost” and “Inefficient use of the design time” were ranked the highest risks that affect the optimisation of building performance. Respondents ranked “Risk avoid” or “Risk transfer” as the most risk responses adopted in the Egyptian context. In addition, “BIM As Built” was ranked the highest BIM technology used for overcoming risks during the design process. These findings necessitated taking action towards developing a framework to optimising building performance. Originality/value The research identified the risks that affect optimising building performance during the design process. It focuses on improving the design process through using the capabilities of BIM technologies towards overcoming these risks during the design process. The proposed framework which integrates RM and BIM represents a synthesis that is novel and creative in thought and adds value to the knowledge in a manner that has not previously occurred.

scholarly journals Extracting features from laser scanning point cloud

2018 ◽  
Vol 44 ◽  
pp. 00013 ◽  
Author(s):  
Vladimir Badenko ◽  
Alexander Fedotov ◽  
Dmitry Zotov
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Historical Buildings ◽  
Historical Building ◽  
Building Information Modelling ◽  
Historic Building ◽  
Technology Application ◽  
Information Modelling ◽  
Hybrid Technology ◽  
Building Information

Analyses of gaps in processing of raw laser scanning data and results of bridging the gaps discovered on the basis of usage of laser scanning data for historic building information modelling are presented. Some results of the development of a unified hybrid technology for the processing, storage, access and visualization of combined laser scanning and photography data about historical buildings are analyzed. The first result of the technology application to historical building of St. Petersburg Polytechnic University shows the robustness of the approaches proposed.

scholarly journals From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

2020 ◽  
Vol 12 (7) ◽  
pp. 1094 ◽  
Author(s):  
Mesrop Andriasyan ◽  
Juan Moyano ◽  
Juan Enrique Nieto-Julián ◽  
Daniel Antón
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Accuracy Assessment ◽  
Parametric Modelling ◽  
Point Cloud Data ◽  
Building Information Modelling ◽  
Historical Interpretation ◽  
Information Modelling ◽  
Cloud Data ◽  
Building Information

Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.

scholarly journals VALIDATION OF POINT CLOUDS SEGMENTATION ALGORITHMS THROUGH THEIR APPLICATION TO SEVERAL CASE STUDIES FOR INDOOR BUILDING MODELLING

2016 ◽  
Vol XLI-B5 ◽  
pp. 667-674
Author(s):  
H. Macher ◽  
T. Landes ◽  
P. Grussenmeyer
Keyword(s):  
Case Studies ◽  
Point Clouds ◽  
Building Information Modelling ◽  
Home Furnishings ◽  
Laser Scanners ◽  
Segmentation Algorithms ◽  
Building Information ◽  
Segmentation Approach ◽  
Two Phases ◽  
Insight Into

Laser scanners are widely used for the modelling of existing buildings and particularly in the creation process of as-built BIM (Building Information Modelling). However, the generation of as-built BIM from point clouds involves mainly manual steps and it is consequently time consuming and error-prone. Along the path to automation, a three steps segmentation approach has been developed. This approach is composed of two phases: a segmentation into sub-spaces namely floors and rooms and a plane segmentation combined with the identification of building elements. <br><br> In order to assess and validate the developed approach, different case studies are considered. Indeed, it is essential to apply algorithms to several datasets and not to develop algorithms with a unique dataset which could influence the development with its particularities. Indoor point clouds of different types of buildings will be used as input for the developed algorithms, going from an individual house of almost one hundred square meters to larger buildings of several thousand square meters. Datasets provide various space configurations and present numerous different occluding objects as for example desks, computer equipments, home furnishings and even wine barrels. For each dataset, the results will be illustrated. The analysis of the results will provide an insight into the transferability of the developed approach for the indoor modelling of several types of buildings.

scholarly journals COMPLEMENTARITY OF HISTORIC BUILDING INFORMATION MODELLING AND GEOGRAPHIC INFORMATION SYSTEMS

2016 ◽  
Vol XLI-B5 ◽  
pp. 437-443 ◽  
Author(s):  
X. Yang ◽  
M. Koehl ◽  
P. Grussenmeyer ◽  
H. Macher
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Point Clouds ◽  
3D Models ◽  
Geographical Information ◽  
Building Information Modelling ◽  
Historic Building ◽  
Information Modelling ◽  
Building Information

In this paper, we discuss the potential of integrating both semantically rich models from Building Information Modelling (BIM) and Geographical Information Systems (GIS) to build the detailed 3D historic model. BIM contributes to the creation of a digital representation having all physical and functional building characteristics in several dimensions, as e.g. XYZ (3D), time and non-architectural information that are necessary for construction and management of buildings. GIS has potential in handling and managing spatial data especially exploring spatial relationships and is widely used in urban modelling. However, when considering heritage modelling, the specificity of irregular historical components makes it problematic to create the enriched model according to its complex architectural elements obtained from point clouds. Therefore, some open issues limiting the historic building 3D modelling will be discussed in this paper: how to deal with the complex elements composing historic buildings in BIM and GIS environment, how to build the enriched historic model, and why to construct different levels of details? By solving these problems, conceptualization, documentation and analysis of enriched Historic Building Information Modelling are developed and compared to traditional 3D models aimed primarily for visualization.

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