Building Information Modelling, new paradigm of digital design and management, shows great potential for the refurbishment process, as it represents a possible way out of criticalities that occur in ...documentation and preservation of existing assets, if connected to cognitive automation. The combination of BIM with automation systems improves the quality control during diagnosis, design and work execution, and the labour savings, which is particularly relevant for rapid intervention in case of hazardous conditions.
Therefore, the paper is going to address a methodological discussion concerning complete “as-built” parametric models of historical buildings, supporting the design of refurbishment and conservation interventions. Although some reviews of the state of the art exist on the topic of Historic Building Information Modelling, the present research introduces a different perspective on HBIM modelling, with diagnosis and performance assessment as key-aspects, in terms of automating performance assessment.
Specifically, from the data collection of contributions regarding HBIM/BIM, diagnostics and monitoring on existing buildings and infrastructures, a critical review by selected criteria is developed. Nevertheless, general methods and tools for information management and exchange tasks in BIM are briefly described as well, since they are considered useful for future developments of HBIM approach. The core of the critical analysis is focused on the scientific and technical relations among HBIM models, diagnosis and performance assessment features. In addition, the review identifies specific activities and relative tools and methods for knowledge acquisition and semantic enrichment.
Finally, gaps in knowledge of the current literature are outlined and discussed, with specific focus on performance assessment in HBIM. In this regard, a new methodology toward Diagnosis-Aided Historic Building Information Modelling and Management (DA-HBIMM) is proposed as a framework to be developed in order to address smart knowledge acquisition, collection and notification of assessed performances and eventual risks, by cognitive automation and artificial intelligence, in the near future.
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•The review identifies gaps and future developments of performance assessment in Historic Building Information Modelling.•The current research trend regards improvement in geometric survey and algorithms for automatic parameterisation.•The introduction of data from visual inspections, diagnosis and monitoring for performance assessment is required in HBIM.•Diagnosis-aided HBIMM is a methodology for automating acquisition, updating and management of knowledge.•Diagnosis-aided HBIMM may transfer real-time data, alert in risk situations, and drive mitigation activities.
Virtual Reality (VR) has been rapidly recognized and implemented in construction engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive ...environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.
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•In-depth review of BIM, machine learning, and computer vision in underground.•Identified status, benefits and challenges of integration of these technologies.•Discussed limitations ...of existing studies and future research directions.•Proposed an interactive platform for GIS, 3D geological model, BIM, and monitoring.•Demonstrated a case study for applying the interactive platform.
The architecture, engineering and construction (AEC) industry is experiencing a technological revolution driven by booming digitisation and automation. Advances in research fields of information technology and computer science, such as building information modelling (BIM), machine learning and computer vision have attracted growing attention owing to their useful applications. At the same time, population-driven underground development has been accelerated with digital transformation as a strategic imperative. Urban underground infrastructures are valuable assets and thus demanding effective planning, construction and maintenance. While enabling greater visibility and reliability into the processes and subsystems of underground construction, applications of BIM, machine learning and computer vision in underground construction represent different sets of opportunities and challenges from their use in above-ground construction. Therefore, this paper aims to present the state-of-the-art development and future trends of BIM, machine learning, computer vision and their related technologies in facilitating the digital transition of tunnelling and underground construction. Section 1 presents the global demand for adopting these technologies. Section 2 introduces the related terminologies, standardisations and fundamentals. Section 3 reviews BIM in traditional and mechanised tunnelling and highlights the importance of integrating 3D geological modelling and geographic information system (GIS) databases with BIM. Section 4 examines the key applications of machine learning and computer vision at different stages of underground construction. Section 5 discusses the challenges and perspectives of existing research on leveraging these emerging technologies for escalating digitisation, automation and information integration throughout underground project lifecycle. Section 6 summarises the current state of development, identified gaps and future directions.
Government actors, public agencies, industry and academics have struggled to change the rules of the existing business ecosystem to support the networked practices that were envisioned back in the ...1980s with the introduction of building information modelling (BIM). Despite the industry's far-reaching technological capabilities, BIM has primarily assumed productivity improvement by individual firms, which has not lead to a systemic change in the Finnish architecture, engineering and construction (AEC) business ecosystem. A field study of the Finnish AEC industry has resulted in a critical understanding of why successful and intensive R&D at a national level and wide adoption of BIM technology in Finland has not led to the expected systemic evolution of its AEC business ecosystem. Additionally, a methodology based on inductive grounded theory and historical analysis has been used to capture and identify the evolving and dynamic relationships between various events and actors between 1965 and 2015, which, in turn, has aided in the identification and characterisation of the knowledge and innovation ecosystems. The research findings provide insights for BIM researchers and governments in terms of establishing new policies that will better align BIM adoption with the systemic evolution of business practices in the AEC business ecosystem.
There is a paucity of literature that examines building information modelling (BIM) for asset management within the architecture, engineering, construction and owner-operated (AECO) sector. This ...paper therefore presents a thorough review of published literature on the latest research and standards development that impact upon BIM and its application in facilities management (FM) during the operations and maintenance (O&M) phase of building usage. The purpose is to generate new ideas and provide polemic clarity geared to intellectually challenge readers from across a range of academic and industrial disciplines. The findings reveal that significant challenges facing the FM sector include the need for: greater consideration of long-term strategic aspirations; amelioration of data integration/interoperability issues; augmented knowledge management; enhanced performance measurement; and enriched training and competence development for facilities managers to better deal with the amorphous range of services covered by FM. Future work is also proposed in several key areas and includes: case studies to observe and report upon current practice and development; and supplementary research related to concepts of knowledge capture in relation to FM and the growing use of BIM for asset management.
•For new buildings, research into BIM-FM integration is rare.•A review of developments and opportunities for BIM-FM integration is presented.•Challenges posed include interoperability, performance enhancement and training.•Future work seeks to produce commercial products and record contemporary practice.
Research into digital technology (DT) in construction practices has gained widespread attention. While the application of different DTs in facility management (FM) has been growing, to date, there is ...no holistic review of the various DT developments and research into FM. A total of 120 academic journal papers, conference proceedings and other technical notes published on the subject, mainly between 2004 and 2017, were reviewed in this paper. The applications of various major DTs, including 1) building information modelling (BIM), 2) reality capture technology (including 3D laser scanning, point cloud), 3) the Internet of Things (IoT) (including radio frequency identification (RFID) and sensor network technologies) and 4) geographic information system (GIS), were reviewed and scrutinised. The review identified a number of possibilities for future research into DT in FM, including, enhancing the interoperability of data, improving the accuracy of point cloud data for developing as-built models for existing facilities, and generating effective BIM/GIS asset database integration. It is hoped that this review and the future directions highlighted in this paper will assist researchers in identifying the areas where further research efforts are most required and in identifying which future directions would be most helpful for digital FM research.
•Application of various digital technologies on facilities management were examined•Interoperability of data from as-designed to as-built data remains a key barrier•More efforts on improving data capturing technologies for “as-is” BIM is needed•Future work should improve spatial and geometric aspects of GIS-BIM integration•Enhancing the capability of RFID-based data storage and management is required
BIM-based Construction Networks (BbCNs) are teams comprising members from several specialist organisations to undertake BIM-related tasks on BIM-enabled projects. Fostering collaboration within BbCNs ...is a top priority for construction project managers, yet no explicit body of knowledge has focused on investigating the relevant research gaps in knowledge. The present study intends to address this gap by plotting the storyline of relevant research studies in the last 10years (2006–2016). A “Collaboration Pentagon” consisted of context, process, task, team and actor as the theoretical lens is created through integration of relevant frameworks. The study draws upon a bibliometric analysis of 1031 studies on BIM alongside the outcome of a qualitative evaluation of a total of 62 carefully selected papers on collaboration in BbCNs. The findings reveal that the scholarship on collaboration on BIM-enabled projects has predominately focused on technology as one antecedent of collaboration while project-related and managerial antecedents have remained under-researched. Moreover, though enhancing collaboration necessitates inclusion of all influential antecedents, studies with such an all-inclusive perspective are rare. The study contributes to the field through this inclusive Collaboration Pentagon and by providing a systematic and objective evaluation of available literature on collaboration in BbCNs and uncovering respective gaps.
•The corpus of the literature associated with collaboration in BbCNs is analysed deploying bibliometric and qualitative techniques•Core research areas of published studies on collaboration in BbCNs are identified and visualized•Gaps in the literature on collaboration in BbCNs are identified
Although building information modelling (BIM) is ubiquitous within the construction industry, a review analysis on critical success factors (CSFs) used to measure successful BIM implementation is not ...well established. This research conducts a comprehensive review and interpretivist study of published studies on CSFs for BIM implementation during the period 2005 to 2015. Analysis reveals that some countries (e.g. USA, UK and South Korea) have developed clear CSFs for measuring successful BIM implementation, although each country implements a different sets of CSFs, some universal CSFs are shared between these countries, namely: collaboration in design, engineering, and construction stakeholders; earlier and accurate 3D visualisation of design; coordination and planning of construction works; enhancing exchange of information and knowledge management; and improved site layout planning and site safety. These common factors provide a core basis for establishing a standard evaluation model for measuring the success of BIM implementation and serve to identify areas for further improvement. A checklist of CSFs for BIM implementation is developed, and could render new insight for researchers and practitioners to conduct further empirical studies.
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•A review of critical success factors for BIM implementation is presented.•An interpretivist study of published literature was undertaken.•Universal critical success factors are reported upon.
This paper evaluates the potential for use of building information modelling (BIM) as a tool to support the visualisation and management of a building's performance; demonstrating a method for the ...capture, collation and linking of data stored across the currently disparate BIM and building management system (BMS) data environments. Its intention is to identify the barriers facing implementation of BIM for building designers and operators as a performance optimisation tool. The method developed links design documentation and metered building performance to identify the technological requirements for BIM and building performance connection in a real-world example. This is supplemented by interviews with designers and operators identifying associated behavioural and methodological challenges.
The practicality of implementing BIM as a performance management tool using conventional technologies is established, and recognises the need for more effective data management in both design and operation to support interlinking of these data-rich environments. Requirements for linking these environments are proposed in conjunction with feedback from building designers and operators, providing guidance for the production and sourcing of data to support building performance management using BIM.
Life Cycle Sustainability Assessment (LCSA) is an integrated method that combines environmental, economic, and social assessments. Its methodological development remains under discussion, mainly ...regarding the building design. This paper aims to provide a systematic, interoperable, and open-source approach towards implementing LCSA in Building Information Modelling (BIM) in five steps. A harmonized data structure that enriches BIM objects is proposed. Automation in the principal evaluation step is provided by integrating new parameters into the current Industry Foundation Classes (IFC4). A Dynamo script verifies its utility in a case study in Spain using real-time calculations and visualizations. Two alternative structural systems are assessed, and identification is made of the lowest CO2 emitter, the lowest cost, and the most beneficial system for local employment. The approach can be employed to evaluate other indicators and building systems in other countries. Challenges and limitations in the standardization and harmonization of the three dimensions are identified.
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•A five-step method to implement Life Cycle Sustainability Assessment (LCSA) in BIM.•Description of a data structure for conducting LCSA in the early design stage.•Enrichment of BIM scheme based on current Industry Foundation Classes (IFC4).•Dynamo script in case study in Spain for real-time calculations and visualization.•Limitations and new challenges to implement LCSA in BIM in detailed design stages.
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