scholarly journals BUILDING ARCHAEOLOGY DOCUMENTATION AND ANALYSIS THROUGH OPEN SOURCE HBIM SOLUTIONS VIA NURBS MODELLING

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 1381-1388
Author(s):  
F. Diara ◽  
F. Rinaudo
Keyword(s):  
Cultural Heritage ◽  
Open Source ◽  
Research Field ◽  
Free Form ◽  
Building Information Modelling ◽  
Ongoing Research ◽  
Information Modelling ◽  
Building Information ◽  
Development Processes ◽  
Archaeological Analysis

Abstract. The implementation of historical information within BIM (Building Information Modelling) platforms has experienced great development processes during last years, generating excellent studies based on Historic Building Information Modelling (Murphy et al., 2009; 2013). The HBIM developing growth is certainly explained due to advantages concerning the documentation step as well as monitoring operations for Cultural Heritage assets. In this sense, information concerning historical architectures can be extracted directly from walls and masonries and it is related to stratigraphic information derived from archaeological analysis: this kind of analysis is fundamental in order to comprehend the evolution of the construction site through the identification of layers due to modifications and actions (Parenti R., 2000).The inclusion of stratigraphic analysis inside a HBIM workflow could be an innovative point as far as the management and monitoring is concerned. This kind of documentation, that was not designed to be included inside a common BIM platform, could be collected coupled with digital metric information derived from metric surveys even if it is still considered an ongoing research field, especially since Cultural Heritage assets have no BIM standard classification. For this reason, the main goal of this research is to adapt the possibilities of open source solutions concerning BIM methodologies to building archaeology documentation and analysis exploring unconventional strategies and also overcoming 3D modelling limitations of BIM software with free form modeler based on NURBS algorithm (Oreni et al., 2014), developing a particular scan-to-BIM process that, owing to the used opens source solutions and algorithm, can be renamed scan-to-openBIM via NURBS.

scholarly journals FROM OSS CAD TO BIM FOR CULTURAL HERITAGE DIGITAL REPRESENTATION

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 439-445 ◽  
Author(s):  
S. Logothetis ◽  
E. Karachaliou ◽  
E. Stylianidis
Keyword(s):  
Cultural Heritage ◽  
Open Source ◽  
Open Source Software ◽  
Computer Aided Design ◽  
3D Models ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Digital Representations ◽  
Building Information ◽  
Aided Design

The paper illustrates the use of open source Computer-aided design (CAD) environments in order to develop Building Information Modelling (BIM) tools able to manage 3D models in the field of cultural heritage. Nowadays, the development of Free and Open Source Software (FOSS) has been rapidly growing and their use tends to be consolidated. Although BIM technology is widely known and used, there is a lack of integrated open source platforms able to support all stages of Historic Building Information Modelling (HBIM) processes. The present research aims to use a FOSS CAD environment in order to develop BIM plug-ins which will be able to import and edit digital representations of cultural heritage models derived by photogrammetric methods.

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.

Impact of Industry 4.0 in Architecture and Cultural Heritage

2020 ◽  
pp. 306-329
Author(s):  
Claudio Mirarchi ◽  
Alberto Pavan ◽  
Beniamino Di Martino ◽  
Antonio Esposito
Keyword(s):  
Machine Learning ◽  
Expert Systems ◽  
Cultural Heritage ◽  
Industry 4.0 ◽  
Data Use ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Information Models ◽  
Building Information ◽  
Digital Environments

Building Information Modelling (BIM) is recognized as the central mean in the digitalization process of the construction sector affecting both the technological and the organizational levels. The use of information models can empower communication capabilities thus addressing one of the main development directions of industry 4.0. However, several issues can be highlighted in the representation of objects through information models especially in the case of existing and/or historical buildings. This chapter proposes an extensive analysis of the use of BIM for existing assets exploring the recent development in the area of machine learning and in the use of ontologies to overcome the existing issues. It will provide a structured presentation of existing works and of perspectives in the use of ontologies, expert systems, and machine learning application in architecture and cultural heritage focusing on communication and data use in digital environments along the industry 4.0 paradigm.

scholarly journals Building Information Modelling for Cultural Heritage: A review

2015 ◽  
Vol II-5/W3 ◽  
pp. 177-183 ◽  
Author(s):  
S. Logothetis ◽  
A. Delinasiou ◽  
E. Stylianidis
Keyword(s):  
Cultural Heritage ◽  
State Of The Art ◽  
Privacy Rights ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Culture Heritage ◽  
Building Information ◽  
Recent Developments ◽  
Cultural Heritage Objects ◽  
Different Characteristics

We discuss the evolution and state-of-the-art of the use of Building Information Modelling (BIM) in the field of culture heritage documentation. BIM is a hot theme involving different characteristics including principles, technology, even privacy rights for the cultural heritage objects. Modern documentation needs identified the potential of BIM in the recent years. Many architects, archaeologists, conservationists, engineers regard BIM as a disruptive force, changing the way professionals can document and manage a cultural heritage structure. The latest years, there are many developments in the BIM field while the developed technology and methods challenged the cultural heritage community in the documentation framework. In this review article, following a brief historic background for the BIM, we review the recent developments focusing in the cultural heritage documentation perspective.

scholarly journals Modelling the key enablers of organizational building information modelling (BIM) implementation: An interpretive structural modelling (ISM) approach

2021 ◽  
Vol 26 ◽  
pp. 974-1008
Author(s):  
Behzad Abbasnejad ◽  
Madhav Prasad Nepal ◽  
Seyed Armin Mirhosseini ◽  
Hashem Izadi Moud ◽  
Alireza Ahankoob
Keyword(s):  
Literature Review ◽  
Structural Model ◽  
Expert Interviews ◽  
Interpretive Structural Modeling ◽  
Building Information Modelling ◽  
Ongoing Research ◽  
Information Modelling ◽  
Change Environment ◽  
Adoption And Implementation ◽  
Building Information

Building Information Modelling (BIM) implementation is a dynamic process and there are a number of influential variables that may change throughout. There is little research on the dynamics of the change environment and the AEC organizations’ approaches to BIM adoption and implementation. A considerable number of BIM enablers have been identified and/or developed in the extant literature. However, stipulating BIM implementation enablers per se provides only a static view that is not adequate for describing effective management of BIM implementation in Architectural, Engineering, and Construction (AEC) organizations. This study is the second part of an ongoing research about BIM implementation enablers. In the first paper “Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: a systematic literature review” (Abbasnejad et al., 2020) the organizational BIM enablers have been identified. The aim of this second paper is to (1) further review and validate the key BIM implementation enablers using both the existing literature and expert interviews, and (2) develop a structural model of the key enablers using the ISM technique to understand the mutual interaction of these enablers and identify the driving enablers and the dependent enablers. Twenty-eight enablers for BIM implementation were initially identified from the literature and subsequent discussion with experts from academia and industry has been conducted to select most key BIM implementation enablers. Eleven enablers were finally chosen based on the literature review and expert interviews and the Interpretive Structural Modeling (ISM) technique has been adopted to evaluate the contextual interrelationships among them. MICMAC (Matrix Impacts Cross-reference Multiplication Applied to a Classification) analysis was employed to classify the eleven enablers based on their dependence and driving power. The results indicate that there is no enabler in the autonomous cluster and this therefore signifies that all enablers are required for the implementation of BIM. BIM leadership and top management support have been identified as the enablers with the highest driving power in the initial stages of the BIM adoption and implementation process and for that reason, these enablers demand a greater priority given that there are other dependent enablers that will be impacted.

scholarly journals A Review and Scientometric Analysis of Global Building Information Modelling (BIM) Research in the Architecture, Engineering and Construction (AEC) Industry

2019 ◽  
Author(s):  
Ziwen Liu ◽  
Yujie Lu ◽  
Lu Chang Peh
Keyword(s):  
Green Building ◽  
Recent Decade ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Aec Industry

In the recent decade, Building Information Modelling (BIM) has widely been adopted in the Architecture, Engineering and Construction (AEC) industry and completely upended the way we build. While BIM continues gain momentum in the industry, it has also attracted increasing attentions from researchers. However, most of the current study focuses on reviewing BIM for management, BIM for green building, BIM for infrastructure and BIM for Facilities Management (FM). There are few studies about Global BIM review and to discuss their complex inter-connections. In this study, we adopted a scientometric analysis method to review global BIM research from 2004-2019. A total of 1455 scholarly bibliographic records obtained from Web of Science Core Collection databased were established for the analysis. This study has identified the top productive and influential researchers, research institutes, regions/countries, subject categories and journals in the BIM field. In addition, 11 clusters of Global BIM research were also identified including construction project, green BIM, construction safety planning, automated IFC-based workflow and so on. Authors distinguished 11 clusters of global BIM research into 3 stages, namely formulating stage, accelerating stage and transforming stage. Furthermore, authors reviewed the BIM policy of Singapore and observed there is a co-production relationship between evolution of BIM policy and global BIM research. These findings provide valuable information for researchers, practitioners and policy makers by visualizing the current progress in the research field of BIM and highlighting future research needs.

scholarly journals UAV FOR MAPPING HISTORIC BUILDINGS: FROM 3D MODELLING TO BIM

2019 ◽  
Vol XLII-2/W9 ◽  
pp. 397-402 ◽  
Author(s):  
E. Karachaliou ◽  
E. Georgiou ◽  
D. Psaltis ◽  
E. Stylianidis
Keyword(s):  
Cultural Heritage ◽  
Sustainable Management ◽  
Historic Buildings ◽  
Cultural Significance ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Additional Information ◽  
Existing Structures ◽  
Preventive Actions ◽  
Building Information

<p><strong>Abstract.</strong> Preventive actions of cultural heritage continuously emerge in order to preserve the identity of the respective civilizations, retain its cultural significance and ensure its accessibility to present and future generations. 3D geomatics technologies along with UAV systems are widely used for documenting existing structures especially in difficult-to-access areas. In addition, Building Information Modelling (BIM) for cultural heritage gains ground towards the sustainable management, update and maintenance of the information. To this context, the current work generates a Historic Building Information Modelling (HBIM) model of the “Averof’s Museum of Neohellenic art” located in Metsovo, Greece, by using UAV photogrammetry techniques and additional information derived from the architecture designs of the buildings.</p>

scholarly journals OPEN SOURCE HBIM FOR CULTURAL HERITAGE: A PROJECT PROPOSAL

2018 ◽  
Vol XLII-2 ◽  
pp. 303-309 ◽  
Author(s):  
F. Diara ◽  
F. Rinaudo
Keyword(s):  
Cultural Heritage ◽  
Open Source ◽  
Open Source Software ◽  
Three Dimensional ◽  
Project Proposal ◽  
Building Information Modelling ◽  
Open Platform ◽  
Starting Point ◽  
Building Information ◽  
Research Analysis

Actual technologies are changing Cultural Heritage research, analysis, conservation and development ways, allowing new innovative approaches. The possibility of integrating Cultural Heritage data, like archaeological information, inside a three-dimensional environment system (like a Building Information Modelling) involve huge benefits for its management, monitoring and valorisation. Nowadays there are many commercial BIM solutions. However, these tools are thought and developed mostly for architecture design or technical installations. An example of better solution could be a dynamic and open platform that might consider Cultural Heritage needs as priority. Suitable solution for better and complete data usability and accessibility could be guaranteed by open source protocols. This choice would allow adapting software to Cultural Heritage needs and not the opposite, thus avoiding methodological stretches. This work will focus exactly on analysis and experimentations about specific characteristics of these kind of open source software (DBMS, CAD, Servers) applied to a Cultural Heritage example, in order to verifying their flexibility, reliability and then creating a dynamic HBIM open source prototype. Indeed, it might be a starting point for a future creation of a complete HBIM open source solution that we could adapt to others Cultural Heritage researches and analysis.

scholarly journals A Review and Scientometric Analysis of Global Building Information Modelling (BIM) Research in the Architecture, Engineering and Construction (AEC) Industry

2019 ◽  
Author(s):  
Ziwen Liu ◽  
Yujie Lu ◽  
Lu Chang Peh
Keyword(s):  
Green Building ◽  
Recent Decade ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Aec Industry

In the recent decade, Building Information Modelling (BIM) has widely been adopted in the Architecture, Engineering and Construction (AEC) industry and completely upended the way we build. While BIM continues gain momentum in the industry, it has also attracted increasing attentions from researchers. However, most of the current study focuses on reviewing BIM for management, BIM for green building, BIM for infrastructure and BIM for Facilities Management (FM). There are few studies about Global BIM review and to discuss their complex inter-connections. In this study, we adopted a scientometric analysis method to review global BIM research from 2004-2019. A total of 1455 scholarly bibliographic records obtained from Web of Science Core Collection databased were established for the analysis. This study has identified the top productive and influential researchers, research institutes, regions/countries, subject categories and journals in the BIM field. In addition, 11 clusters of Global BIM research were also identified including construction project, green BIM, construction safety planning, automated IFC-based workflow and so on. Authors distinguished 11 clusters of global BIM research into 3 stages, namely formulating stage, accelerating stage and transforming stage. Furthermore, authors reviewed the BIM policy of Singapore and observed there is a co-production relationship between evolution of BIM policy and global BIM research. These findings provide valuable information for researchers, practitioners and policy makers by visualizing the current progress in the research field of BIM and highlighting future research needs.

scholarly journals A project management framework for enhanced productivity performance using building information modelling

2017 ◽  
Vol 17 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Longhui Liao ◽  
Evelyn Ai Lin Teo ◽  
Sui Pheng Low
Keyword(s):  
Project Management ◽  
Project Delivery ◽  
Building Information Modelling ◽  
Building Projects ◽  
Ongoing Research ◽  
Management Framework ◽  
Information Modelling ◽  
Project Outcomes ◽  
Building Information ◽  
Building Plans

Although the Singapore government has mandated submissions of building plans in building information modelling (BIM) format since July 2013, this does not yet seem to lead to enhanced productivity performance. BIM collaboration between designers and downstream contractors appears to remain inadequate. While many studies have been conducted on using BIM for better project outcomes, studies that relate BIM with the identification of non-value adding activities in the project lifecycle and the reduction of the resulting wastes are at infancy stage. This paper aims to propose a project management framework for enhancing the productivity of building projects in Singapore, which forms Phase I of an ongoing research project. A two-pronged approach is presented. Firstly, non-value adding activities in the current project delivery process that uses BIM partially in Singapore are identified by comparing the typical current process with full BIM-based processes; such activities are cut down after process transformation in terms of people, process, and technology. Secondly, time savings derived from reducing the wastes caused by these activities are quantified. The proposed framework was validated by a case study of a local residential project. It was concluded that this framework provides a valuable tool for project teams to enhance productivity performance.

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