Showing papers on "Building information modeling published in 2020"
TL;DR: The paper reviews the multi-faceted applications of BIM during the construction stage and highlights limits and requirements, paving the way to the concept of a Construction Digital Twin, described in terms of underpinning research themes, while elaborating on areas for future research.
401 citations
TL;DR: The results show that the constantly updated data obtained from the information layer together with the machine learning algorithms in the application layer can efficiently predict the future condition of MEP components for maintenance planning.
192 citations
27 Nov 2020
TL;DR: DTC should be viewed as a comprehensive mode of construction that prioritizes closing the control loops rather than an extension of BIM tools integrated with sensing and monitoring technologies.
Abstract: The concept of a “digital twin” as a model for data-driven management and control of physical systems has emerged over the past decade in the domains of manufacturing, production, and operations. In the context of buildings and civil infrastructure, the notion of a digital twin remains ill-defined, with little or no consensus among researchers and practitioners of the ways in which digital twin processes and data-centric technologies can support design and construction. This paper builds on existing concepts of Building Information Modeling (BIM), lean project production systems, automated data acquisition from construction sites and supply chains, and artificial intelligence to formulate a mode of construction that applies digital twin information systems to achieve closed loop control systems. It contributes a set of four core information and control concepts for digital twin construction (DTC), which define the dimensions of the conceptual space for the information used in DTC workflows. Working from the core concepts, we propose a DTC information system workflow—including information stores, information processing functions, and monitoring technologies—according to three concentric control workflow cycles. DTC should be viewed as a comprehensive mode of construction that prioritizes closing the control loops rather than an extension of BIM tools integrated with sensing and monitoring technologies.
162 citations
TL;DR: A framework and a proof of concept prototype for on-demand automated simulation of construction projects, integrating some cutting edge IT solutions, namely image processing, machine learning, BIM and Virtual Reality are presented.
143 citations
TL;DR: The first application of a BIM-LCA tool to evaluate the embodied global warming potential (GWP) throughout the whole design process of a real building shows that the embodied GWP during the design phase is twice as high as for the final building.
127 citations
TL;DR: In this article, a study was conducted to determine the influence of BIM benefits from the Malaysian construction stakeholders' perception towards its implementation, which revealed that most of the construction companies lack of awareness about BIM technology and its implementation could significantly increase project productivity and performance.
123 citations
TL;DR: A building information model (BIM) big data-storage-management solution with hybrid storage architecture based on web virtual reality geographical information system (WebVRGIS) that realizes a revolutionary transformation of city information management during a full lifecycle.
Abstract: In the context of big data and the Internet of Things, with the advancement of geospatial data acquisition and retrieval, the volume of available geospatial data is increasing every minute. Thus, new data-management architecture is needed. We proposed a building information model (BIM) big data-storage-management solution with hybrid storage architecture based on web virtual reality geographical information system (WebVRGIS). BIM is associated with the integration of spatial and semantic information on the various stages of urban building. In this paper, based on the spatial distribution characteristics of BIM geospatial big data, a data storage and management model is proposed for BIM geospatial big data management. The architecture primarily includes Not only Structured Query Language (NoSQL) database and distributed peer-to-peer storage. The evaluation of the proposed storage method is conducted on the same software platform as our previous research about WebVR. The experimental results show that the hybrid storage architecture proposed in this research has a lower response time compared to the traditional relational database in geospatial big data searches. The integration and fusion of BIM big data in WebVRGIS realizes a revolutionary transformation of city information management during a full lifecycle. The system also has great promise for the storage of other geospatial big data, such as traffic data.
121 citations
TL;DR: This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC.
Abstract: Off-site construction (OSC) is known as an efficient construction method that could save time and cost, reduce waste of resources, and improve the overall productivity of projects. Coupled with digital technologies associated with the Industry 4.0 concept, OSC can offer a higher rate of productivity and safety. While there is a rich literature focusing on both OSC and Industry 4.0, the implementation of associated digital technologies in the OSC context has not been fully evaluated. This paper intends to evaluate the current literature of digital technology applications in OSC. Scientometric analyses and a systematic review were carried out evaluating fifteen typical digital technologies adopted by OSC projects, including building information modelling (BIM), radio frequency identification devices (RFID), global positioning systems (GPS), the Internet of Things (IoT), geographic information systems (GIS), sensors, augmented reality (AR), virtual reality (VR), photogrammetry, laser scanning, artificial intelligence (AI), 3D printing, robotics, big data, and blockchain. This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC. The review also points out their potential and how they can be better adopted to improve OSC practice in the future.
118 citations
TL;DR: Findings from the study indicate that BIM is an efficient and effective method for measuring carbon emissions from the construction of new buildings and that prefabrication reduces carbon emissions when compared with conventional construction methods.
104 citations
TL;DR: This research seeks to enhance the usual manual workspace planning process by simulating a construction activity using both immersive Virtual Reality and Building Information Modeling technologies.
102 citations
TL;DR: This study presents a framework of a cyber–physical system to integrate these technologies and improve the overall capabilities of construction organization and management and introduces a case study of the Xiong’an citizen service center.
Abstract: The Fourth Industrial Revolution (Industry 40) is reshaping the construction industry and bringing it into an intelligent construction era Emerging technologies, such as the Building Information Modelling, Internet of Things, big data, cloud computing, and artificial intelligence, have penetrated into all stages of the building life cycle and play a significant role However, the major issue of intelligent construction is integrating multiple technologies to create more potential opportunities rather than their fragmented application Considering the various special characteristics of the construction industry and the high heterogeneity of these technologies, their integration in the construction industry is challenging and requires in-depth investigations This paper summarizes the Industry 40-related technologies involved in the construction industry based on an analysis of the characteristics of the industry Further, this study presents a framework of a cyber-physical system to integrate these technologies and improve the overall capabilities of construction organization and management A case study of the Xiong'an citizen service center is introduced to verify the technological feasibility and preliminary implementation effect of the proposed framework As forward-looking research, the significance of this paper may also to inspire more efforts in this field
TL;DR: This study aspires to present the main advancements in the field of building integration modelling in theField of smart buildings, with emphasis on the integration of IoT applications into buildings smart operations.
TL;DR: An automated link between LCA and BIM can be achieved when overcoming the technical, organizational and informational issues discussed in the paper, which could enable the streamlining of LCA applications in design practice, and thus support the necessary improvements in the environmental performance of buildings.
Abstract: To foster sustainable development, the environmental impacts of the construction sector need to be reduced substantially. Life cycle assessment (LCA) is the established methodology for the quantification of environmental impacts, and therefore has been increasingly applied to assess the environmental performance of buildings. By coupling LCAs with digital design tools, e.g., building information modeling (BIM), the identification of environmental hotspots and their mitigation is possible during the design process. The objective of the study is to identify the current integration approaches, and determine the pros and cons of the integration process from different viewpoints, namely, technical, informational, organizational and functional issues. Therefore, a comprehensive systematic literature review (SLR) was performed. We identified 60 relevant BIM-LCA case studies and analyzed the applied BIM-LCA workflows in detail. A total of 16 of the reviewed studies applied LCA during the early design stage. These studies used a manual or semiautomatic data exchange between the BIM models and LCA tools. In most cases, contemporary BIM-LCA workflows utilized conventional spreadsheets (e.g., Excel sheets in 16 cases). However, the analysis shows that an automated link between LCA and BIM can be achieved when overcoming the technical, organizational and informational issues discussed in the paper. This could enable the streamlining of LCA applications in design practice, and thus support the necessary improvements in the environmental performance of buildings.
TL;DR: A novel semantic differential transaction (SDT) approach to minimizing information redundancy in the nascent field of BIM and blockchain integration, where the conventional thinking is to store an entire BIM model or its signature code in blockchain.
TL;DR: It is argued that interoperability issues prevail as the key practical barrier to BIM implementation and a large knowledge gap is identified in terms of improving compatibility measures, which should be employed by innovators to assess their BIM applications before they offer it to construction companies.
TL;DR: The Building Topology Ontology (BOT) is introduced as a core vocabulary to the BIM Maturity Level 3 approach and provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models.
Abstract: Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO) industry traditionally exchange building models as files. The Building Information Modelling (BIM) methodology advocates the seamless exchange of all information between related stakeholders using digital technologies. The ultimate evolution of the methodology, BIM Maturity Level 3, envisions interoperable, distributed, web-based, interdisciplinary information exchange among stakeholders across the life-cycle of buildings. The World Wide Web Consortium Linked Building Data Community Group (W3C LBD-CG) hypothesises that the Linked Data models and best practices can be leveraged to achieve this vision in modern web-based applications. In this paper, we introduce the Building Topology Ontology (BOT) as a core vocabulary to this approach. It provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models. We describe how existing applications produce and consume datasets combining BOT with other ontologies that describe product catalogues, sensor observations, or Internet of Things (IoT) devices effectively implementing BIM Maturity Level 3. We evaluate our approach by exporting and querying three real-life large building models.
01 Nov 2020
TL;DR: Following a set of digital construction innovations through their known past and their uncertain present, a review of their increasingly optimistic future is reviewed, all through the lens of their dependence on digital information.
Abstract: Development and adoption of digital information tools in the construction sector provides fertile ground for the birth and growth of companies that specialize in applications of technologies to design and construction. While some of the technologies are themselves new, the majority are based on ideas that have proliferated in construction research for decades but could not be implemented without a sound digital building information foundation. Building Information Modelling (BIM) itself can be traced to a landmark paper from 1975; ideas for artificially intelligent design and code checking tools date from the mid-1980s; and construction robots have laboured in research labs for decades. Yet it is only within the past five years that venture capital has actively sought startup companies in the ‘Construction Tech’ sector. We follow a set of digital construction innovations through their known past and their uncertain present, and we review their increasingly optimistic future, all through the lens of their dependence on digital information. The review identifies new challenges, yielding a set of research topics with the potential to unlock a range of future applications that make extensive use of artificial intelligence.
TL;DR: The experimental results confirmed the viability of using synthetic point clouds generated from building information models in combination with small datasets of real point clouds, and opened up the possibility of developing a segmentation model for building interiors that can be applied to as-built modeling of buildings that contain unseen indoor structures.
TL;DR: In this article, a BIM-based environmental and economic life cycle assessment (BIMEELCA) prototype tool was developed by the authors to improve the integration of BIM with LCA and LCC.
TL;DR: The research trend in heritage modelling is analyzed by comparing the attention paid by researchers before and during the 2010s and it is shown that photogrammetry is always the most popular method in heritage modeling.
TL;DR: In this article, the authors examined the latest research situation in this discipline by analysing published construction management research in peer-reviewing journals in the period of 2000-2019, and 57 related papers are collected by filtering.
TL;DR: The results show that the proposed approach can successfully automate the conversion of IFC clipping representation into the shapefile format; and increasing boundary size has no effect on the file size of unbounded half spaces, but slightly increases the producing time of half spaces and processing time of building components.
Abstract: The integration of building information modeling (BIM) and geographic information system (GIS) is attracting more attention than ever due to its potential benefits for both the architecture, engineering, and construction (AEC) domain and the geospatial industry. The main challenge in BIM and GIS integrated application comes from the fundamental data conversion, especially for the geometric information. BIM and GIS use different modeling paradigms to represent objects. The BIM dataset takes, for example, Industry Foundation Classes (IFC) that use solid models, such as boundary representation (B-Rep), swept solid, constructive solid geometry (CSG), and clipping, while the GIS dataset mainly uses surface models or B-Rep. The fundamental data conversion between BIM and GIS is the foundation of BIM and GIS integrated application. However, the efficiency of data conversion has been greatly impaired by the human intervention needed, especially for the conversion of the clipping geometry. The goal of this study is to automate the conversion of IFC clipping representation into the shapefile format. A process-level approach was developed with an algorithm for instantiating unbounded half spaces using B-Rep. Four IFC models were used to validate the proposed method. The results show that (1) the proposed approach can successfully automate the conversion of IFC clipping representation into the shapefile format; and (2) increasing boundary size has no effect on the file size of unbounded half spaces, but slightly increases the producing time of half spaces and processing time of building components. The efficiency of this study can be further improved by using an open-source package, instead of using the low-efficiency packages provided by ArcGIS.
TL;DR: In this article, the existing BIM tools and frameworks within prefabricated buildings are minimal, and they are used for building information modeling (BIM) in the construction industry.
Abstract: Building information modelling (BIM) has significantly influenced the construction industry. However, the existing BIM tools and frameworks within prefabricated buildings are minimal. This research...
TL;DR: A semi-automatic approach is developed to establish a systematic, accurate and convenient digital twinning system based on images and CAD drawings based on neuro-fuzzy system and elaborates on the methodological framework.
TL;DR: 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 and to describe the different phases involving the construction of a 3D model.
Abstract: 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.
TL;DR: An inclusive framework for integrating Building Information Modeling and Geographical Information System to plan and forecast the utility infrastructure needs for expanding and emerging cities to highlight the concept of “smartness” during the planning stage is proposed.
TL;DR: A Systematic Literature Review is conducted which aims to detect opportunities to integrate the LCSA into the building design process and in Building Information Modelling (BIM), and results show that the harmonisation of the three dimensions and the data requirements are main achievements.
TL;DR: A comprehensive framework that integrates practical advanced technologies to address SOP issues in the construction industry is developed and new and practical insights into the application and integration of smart sensors, oracles, BIM, blockchain technology and smart contracts are contributed.
TL;DR: In this paper, an interpretive structural modeling approach was adopted to develop a hierarchical model of the interrelationships of the barriers to building information modelling (BIM) adoption from the perspective of small and medium-sized enterprises (SMEs) in developing countries with the Nigerian construction industry as a case study.
Abstract: This study aims to evaluate and investigate the dynamics of the barriers to building information modelling (BIM) adoption from the perspective of small and medium-sized enterprises (SMEs) in developing countries with the Nigerian construction industry as a case study.,An interpretive structural modelling approach was adopted to develop a hierarchical model of the interrelationships of the barriers. Also, the Matrice d’Impacts croises-multipication applique a classement analysis was used for categorisation of the barriers.,The findings revealed that the barriers are from a sociotechnical context and that SMEs have the will to drive BIM adoption by focussing more on their internal environment.,This study presented the adoption of BIM in SMEs, which is underrepresented in extant studies. Also, it contributes to the nascent discussion of BIM from the perspective of SMEs in developing countries.
TL;DR: In this paper, the authors have studied the adoption of Building Information Modelling (BIM) in emerging markets and found that full potential of BIM has been explored but not realised by many in the Indian construction sector.
Abstract: This paper studies the adoption of Building Information Modelling (BIM) in emerging markets. The factors responsible for the adoption of BIM are studied in the context of Indian architectural firms. The mechanisms of diffusion of BIM are analysed through a questionnaire survey based on the Technology–Organization–Environment (TOE) framework which broadly categorises the influencing factors along these three dimensions. Data were collected through a web-based questionnaire survey. The 184 valid responses were analysed using descriptive statistics. The study found that full potential of BIM has been explored but not realised by many in the Indian construction sector. Findings of the study are analysed and compared with other emerging and developed markets. Based on the survey results, recommendations for increasing the BIM adoption are provided. Further studies and learnings from mature markets can help Indian construction sector develop effective BIM implementation strategies.