Showing papers on "Building information modeling published in 2021"
TL;DR: A systematic review under both scientometric and qualitative analysis is presented to present the current state of AI adoption in the context of CEM and discuss its future research trends.
303 citations
TL;DR: A data-driven digital twin framework integrating with BIM, IoT, and data mining for advanced project management, which can facilitate data communication and exploration to better understand, predict, and optimize the physical construction operations is built.
181 citations
TL;DR: In this paper, the authors comprehensively reviewed and analyzed digital twin (DT) concept, technologies, and application in the construction industry using a systematic review methodology while incorporating the science mapping method.
Abstract: The construction industry is faced with numerous challenges including low productivity, lack of research and development, and poor technology advancements . Advances in digital technologies such as digital twin (DT) has seen enormous utilisations in digitally advanced industries including the manufacturing and automotive industries. It presents an opportunity for the integration of the physical world to the digital world. DT technology has the potential to transform the construction industry and provide responses to some of its challenges. As a result, the concept of DT has attracted much attention and is developing at a rapid pace. The overarching aim of this study was to analyse the current state of DT applications in the construction industry. This study comprehensively reviews and analyses DT concept, technologies, and application in the construction industry using a systematic review methodology while incorporating the science mapping method. After a complete search of several databases and careful selection in line with the proposed criteria, 22 academic publications about DT application in the construction industry were identified and classified accordingly. The research analysed in detail the status, evolution of the concept, key technologies, and six areas of application in the lifecycle phases of a project: building information modeling , structural system integrity, facilities management, monitoring, logistics processes, and energy simulation. This research shows that there is a high potential for DT to enable solutions to the numerous challenges in the construction industry. Thus, this study raises the level of awareness and need for the application of DT in the construction industry.
155 citations
TL;DR: An integrated digital twin and blockchain framework for traceable data communication that realizes accountable project-related information sharing across stakeholders is developed and tested.
146 citations
12 Nov 2021
TL;DR: In this paper, an empirical case study using a post-positivist stance and inductive reasoning was conducted to explore practitioner acceptance of Industry 4.0 in the UK construction context.
Abstract: Purpose: Industry 4.0 is predicted to be a game-changer, revolutionizing commercial and manufacturing practices through improved knowledge utilization and efficiencies. The barriers however, are significant, and the construction industry remains notoriously slow to take up innovations. This study reviews the research work in Industry 4.0 as it relates to construction, and examines a leading UK-based construction firm to ascertain the prognosis for Industry 4.0 roll-out in terms of the impediments and opportunities.
Methodology: A multistage mixed philosophies and methods approach was adopted for this study. First, an interpretivist epistemological lens was used to synthesise extant literature as a means of contextualising the present study. Second, an empirical case study using a post-positivist stance and inductive reasoning was conducted to explore practitioner acceptance of Industry 4.0 in the UK construction context.
Findings: Findings from the literature review indicate studies in Industry 4.0 to be a relatively new phenomenon, with developed countries and Germany in particular leading in the field. The range of opportunities are many, but so too are the barriers to enablement. Findings from the case study provide real-world corroboration of the review; practitioners are sanguine about Industry 4.0’s potential to reinvigorate the construction industry, but also note that implementation remains curtailed by residual managerial practices dependent on ‘human interaction.’ At present, much of the focus of industry practitioners is on the implementation of Building Information Modelling (BIM), often at the expense of other more advanced technologies within Industry 4.0.
Originality: Research in Industry 4.0 is limited, with the emphasis being on technology application. This paper, by contrast, maps the totality of work carried out so far and presents an assessment of Industry 4.0’s progression, potential and degree of uptake within the UK construction industry.
135 citations
TL;DR: It is found that cloud computing is an innovation delivery enabler for other emerging technologies (building information modelling, internet of things, virtual reality, augmented reality, big data analytics) in the construction industry.
128 citations
TL;DR: This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems, and recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19.
Abstract: Construction projects and cities account for over 50% of carbon emissions and energy consumption Industry 4 0 and digital transformation may increase productivity and reduce energy consumption A digital twin (DT) is a key enabler in implementing Industry 4 0 in the areas of construction and smart cities It is an emerging technology that connects different objects by utilising the advanced Internet of Things (IoT) As a technology, it is in high demand in various industries, and its literature is growing exponentially Previous digital modeling practices, the use of data acquisition tools, human–computer–machine interfaces, programmable cities, and infrastructure, as well as Building Information Modeling (BIM), have provided digital data for construction, moni-toring, or controlling physical objects However, a DT is supposed to offer much more than digital representation Characteristics such as bi-directional data exchange and real-time self-management (e g , self-awareness or self-optimisation) distinguish a DT from other information modeling sys-tems The need to develop and implement DT is rising because it could be a core technology in many industrial sectors post-COVID-19 This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems It also intends to review the state of play in DT development and offer research directions for future investigation It recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19 The discussion in this paper mainly focuses on the Smart City, Engineering and Construction (SCEC) sectors © 2021 by the author Licensee MDPI, Basel, Switzerland
112 citations
TL;DR: A concept of an advanced Digital Twin for building management is proposed as a baseline for further studies and a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications is developed.
Abstract: The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management, environment monitoring, and other life cycle processes in the built environment. However, research in Digital Twins for the built environment is still in its nascent stages and there is a need to understand the advances in the underlying enabling technologies and establish a convergent context for ongoing and future research. This paper conducted a systematic review to identify the development of the emerging technologies facilitating the evolution of BIM to Digital Twins in built environment applications. A total of 100 related papers including 23 review papers were selected and reviewed. In order to systematically classify the reviewed studies, the authors developed a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications. In each level of this taxonomy, applications were further categorized based on their research domains (e.g., construction process, building energy performance, indoor environment monitoring). In addition, the current state-of-art in technologies enabling Digital Twins was also summarized from the reviewed literature. It was found that most of the prior studies conducted thus far have not fully exploited or realized the envisioned concept of the Digital Twin, and thus classify under the earlier ladder categories. Based on the analysis of the reviewed work and the trends in ongoing research, the authors propose a concept of an advanced Digital Twin for building management as a baseline for further studies.
108 citations
TL;DR: This research helps establish the state-of-the-art of DT in the civil engineering sector and suggests future DT development by extracting DT research clusters based on the co-occurrence analysis of paper keywords' and the relevant DT constituents.
107 citations
TL;DR: 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.
92 citations
TL;DR: An intelligent platform based on service-oriented manners with practical case demonstration for interactive innovation of PHC shareholders is developed, among which prefabricated components have been defined as the SCP in PHC, and a platform-enabled approach has also been adopted in the way of SPSS.
TL;DR: A brief review on major accidents and bibliometric analysis of risk assessment methods for excavation system in recent year is conducted and the processing and analysis of big data obtained from 3S techniques and sensors provide promising perspectives for establishing integrated technology system for excavation.
TL;DR: Wu et al. as mentioned in this paper used building information model (BIM) technology to assist in design and construction work to meet rapid construction requirements and improved the digitization and intelligence in engineering construction, which reduces the workload of field operations and saves a lot of time.
TL;DR: An innovative technology integrated framework for prototyping a proof-of-concept BIM, IoT and AR/VR system based upon the rationale of situational awareness is proposed and the outcomes reveal that the data generated by the system can be leveraged by the firefighting department to quickly locate the whereabouts of the indoor fires, and the VR gamification scenarios can expedite the development of situational Awareness for the trainees.
TL;DR: In this paper, the authors review the state-of-the-art BIM applications on design and prefabrication automation of industrialized buildings, with more emphasis on the recent achievement in concrete 3D printing technology.
TL;DR: A novel Circular Digital Built Environment framework is developed that identifies and maps ten enabling digital technologies to facilitate a circular economy in the built environment and gives practitioners inspiration for sustainable innovation in the sector.
Abstract: Digital technologies are considered to be an essential enabler of the circular economy in various industries. However, to date, very few studies have investigated which digital technologies could enable the circular economy in the built environment. This study specifically focuses on the built environment as one of the largest, most energy- and material-intensive industries globally, and investigates the following question: which digital technologies potentially enable a circular economy in the built environment, and in what ways? The research uses an iterative stepwise method: (1) framework development based on regenerating, narrowing, slowing and closing resource loop principles; (2) expert workshops to understand the usage of digital technologies in a circular built environment; (3) a literature and practice review to further populate the emerging framework with relevant digital technologies; and (4) the final mapping of digital technologies onto the framework. This study develops a novel Circular Digital Built Environment framework. It identifies and maps ten enabling digital technologies to facilitate a circular economy in the built environment. These include: (1) additive/robotic manufacturing, (2) artificial intelligence, (3) big data and analytics, (4) blockchain technology, (5) building information modelling, (6) digital platforms/marketplaces, (7) digital twins, (8) the geographical information system, (9) material passports/databanks, and (10) the internet of things. The framework provides a fruitful starting point for the novel research avenue at the intersection of circular economy, digital technology and the built environment, and gives practitioners inspiration for sustainable innovation in the sector.
TL;DR: A decision-making framework for construction professionals and researchers involving the integration of Life Cycle Sustainability Assessment, Multi-Criteria Decision Analysis (MCDA), and Building Information Modeling to choose suitable materials for buildings is proposed.
TL;DR: In this paper, a methodological-technological framework adapted to the Architecture, Engineering, Construction, and Operations industry is proposed for reference frameworks and related technologies that could impact on this sector, responding to its complexities and specific challenges.
Abstract: The construction industry has traditionally been characterised by the high diversity of its agents and processes, high resistance to change and low incorporation of technology compared to manufacturing industries However, the construction sector is experiencing now a strong renovation process in methodology and tools due to the incorporation of the Building Information Modelling, Lean Construction and Integrated Project Delivery Meanwhile, in production systems, “Industry 40” is a new paradigm that proposes automation, monitoring, sensorisation, robotisation, and digitalisation to improve production and distribution processes In this context, some authors have proposed the concept of “Construction 40” as the counterpart of Industry 40 for the construction sector, although the methodological-technological implications are not clear This research shows a methodological-technological framework adapted to the Architecture, Engineering, Construction, and Operations industry This papers includes a detailed proposal for a reference frameworks and related technologies that could impact on this sector, responding to its complexities and specific challenges, such as the unique spaces for each work, which are difficult to standardise, arbitrary cost overruns and a productivity far below the average for other industries, increasing competitiveness and globalisation, as opposed to its traditionally local deployment, and an increasing demand to reduce the carbon footprint for all its activities
TL;DR: It is found that the five major application domains are sustainability, retrofit, supplier selection, safety, and constructability, which can be used as a benchmark for evaluating the application of decision techniques in practice.
TL;DR: The construction industry has become more interested in moving towards implementing an innovative method to reduce wastes and Environmental Impacts (EIs) during the construction stage as mentioned in this paper. Tools and me...
Abstract: The construction industry has become more interested in moving towards implementing an innovative method to reduce wastes and Environmental Impacts (EIs) during the construction stage. Tools and me...
TL;DR: In this article, the authors evaluated the diffusion of BIM among Malaysian companies and found that only 13% of the participants from both public and private sectors are using BIM in their organization and this is a negative sign that Malaysia is still far away from the position it supposed to be in BIM implementation.
TL;DR: In this article, the authors present a systematic literature review on the thermal efficiency of 3D printed buildings, with particular attention being given to the thermal energy efficiency of the building's envelope and the influence of the thermal insulation on its energy consumption.
Abstract: Building Information Modelling (BIM) paved the way to better information management in the construction sector, simplifying and encouraging the advent of digital technologies and tools. The application of large-scale additive manufacturing (AM) is growing and therefore subject to intensive research – on account of its disruptive potential to revolutionise the Architecture, Engineering and Construction (AEC) industry. With this systematic literature review, the authors aim to identify the major advances made so far on AM's applicability to the construction sector, with particular attention being given to the thermal efficiency of 3D printed buildings. The article begins by presenting the review methodology applied and offering an outline of the current situation in the construction industry, followed by a discussion on different AM processes. Applications in the construction industry are presented and the development of extrudable materials is addressed. The influence of the thermal insulation of the building's envelope on its energy consumption is explained and experimental applications presented. The state-of-the-art shows that 3D printing (3DP) is still in an early stage and the research remains focused on the printability and structural capacity. There is a noticeable gap on physical aspects such as thermal and acoustic behaviour, which are of major importance to the indoor environment quality. By discussing the difference in performance between commercial thermal insulation materials and the existing 3D printed materials, this research outlines new ways of improving the thermal performance of 3D printed structures, by using additives in the printed mix or by acting on the wall's structure.
30 Apr 2021
TL;DR: The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.
Abstract: The purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).,IDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.,The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.,DRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.,The research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.
TL;DR: A novel method of quantitative construction safety risk assessment for building projects at the design stage that consists of three indexes: Likelihood, consequence and exposure is proposed.
TL;DR: A framework that mediates IoT, BIM, and GIS for reliable simulation which predicts potential logistics risks and accurate module delivery time enables effective supply chain coordination and can improve project performance and the widespread application of modular construction.
Abstract: Over the past decades, the construction industry has been attracted to modular construction because of its benefits for reduced project scheduling and costs. However, schedule deviation risks in the logistics process of modular construction can derail its benefits and thus interfere with its widespread application. To address this issue, we aim to develop a digital twin framework for real-time logistics simulation, which can predict potential logistics risks and accurate module arrival time. The digital twin, a virtual replica of the physical module, updates its virtual asset based on building information modeling (BIM) in near real-time using internet of thing (IoT) sensors. Then, the virtual asset is transferred and exploited for logistics simulation in a geographic information system (GIS)-based routing application. We tested this framework in a case project where modules are manufactured at a factory, delivered to the site via a truck, and assembled onsite. The results show that potential logistical risks and accurate module arrival time can be detected via the suggested digital twin framework. This paper’s primary contribution is the development of a framework that mediates IoT, BIM, and GIS for reliable simulation which predicts potential logistics risks and accurate module delivery time. Such reliable risk prediction enables effective supply chain coordination, which can improve project performance and the widespread application of modular construction.
TL;DR: The current research objective is to provide a review of previous works in the field of BIM-based VR, in order to establish a clear view of this research field.
Abstract: Construction projects are becoming increasingly challenging, resulting in more complex and dynamic construction environments. Despite this, traditional management and monitoring methods are currently unable to keep up with the industry’s rapid development, leading to several problems in task efficiency and transfer of information between project delivery stages. Consequently, the Architecture Engineering Construction and Operations sector is pursuing digitalization to improve project management, assist trade-crews and achieve a more efficient working environment. As a result, the adoption of Building Information Modelling (BIM) represents a paradigm shift from the traditional approaches towards a collaborative and integrated working process. Although BIM is improving the aforementioned problems, not all corporations are able to implement and use it effectively. As such, supportive tools to assist BIM in achieving its full potential are in high demand. To facilitate the deployment and application of BIM, easy-entry technologies such as Virtual Reality tools are establishing themselves as a promising addition to BIM methodology. The current research objective is to provide a review of previous works in the field of BIM-based VR, in order to establish a clear view of this research field. The methodology adopted for this systematic review is PRISMA Statement strategy. Based on the results of the review several questions regarding this topic were answered.
TL;DR: In this article, a literature review was conducted to explore the state of the art of BIM uses in the building industry, which included academic sources and non-academic studies, and 20 semi-structured interviews with experts in the field of architecture and circular economy or BIM were conducted.
TL;DR: In this paper, a systematic literature review (SLR) was conducted to identify BIM adoption and implementation enablers, including strategic initiatives, cultural readiness, learning capacity, knowledge capability and IT leveragability, network relationships, process and performance management, and change management practices.
Abstract: Building Information Modelling (BIM) has gained much attention in recent years, as both a new innovation and methodology. Many architecture, engineering and construction (AEC) firms have reported significant competitive advantages following its implementation. Despite the variety of benefits that BIM offers, its potential has not yet been fully realised. A key reason for this can be located in the difficulties of implementation at the organisational level; a process that demands significant changes in organisational business structure. However, there exists little extensive study on the analysis and synthesis of the literature surrounding organisational BIM implementation. This paper presents a systematic literature review (SLR) on studies from 2004 to July 2019 to allow for a thorough synthesis of the existing BIM literature, innovation management, and information technology domains to identify BIM adoption and implementation enablers. Of the 80 selected studies, 27 enablers were identified to contribute to a more comprehensive utilisation of BIM at the organisational level. These included strategic initiatives, cultural readiness, learning capacity, knowledge capability and IT leveragability, network relationships, process and performance management, and change management practices. The role each implementation enabler has in IT-equipped innovations generally and to BIM implementation specifically is discussed throughout. The results of this paper seek to aid AEC firms in gauging the organisational readiness of the implementation process as well as the required interventions and capability development for successful BIM implementation overall.
TL;DR: The results demonstrate that the proposed system is a visually effective monitoring system for environmental monitoring management, and is expected to provide a robust and practical tool for reliable data collection, analysis, and visualization to facilitate intelligent monitoring of the thermal condition in buildings.
TL;DR: The proposed LSSVM-NSGA II hybrid approach can effectively improve the building’s energy consumption and thermal comfort with the building energy consumption reduced by 10.6% and the thermal comfort increased by 32.2% than the initial values.