Building Information Modeling Research Articles

BIM for maintenance planning of façades in precast concrete buildings

Purpose This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes. Maintenance planning and management are integral components of the construction sector, serving the broader purpose of post-construction activities and processes. However, as Precast Concrete (PC) construction projects increase in scale and complexity, the interconnections among these activities and processes become apparent, leading to planning and performance management challenges. These challenges specifically affect the monitoring of façade components for corrective and preventive maintenance actions. Design/methodology/approach The concept of maintenance planning for façades, along with the main features of information and communication technology tools and techniques using building information modeling technology, is grounded in the analysis of numerous literature reviews in PC building scenarios. Findings This research focuses on an integrated system designed to analyze information and support decision-making in maintenance planning for PC buildings. It is based on robust data collection regarding concrete façades' failures and causes. The system aims to provide appropriate planning decisions and minimize the risk of façade failures throughout the building's lifetime. Originality/value The study concludes that implementing a research framework to develop such a system can significantly enhance the effectiveness of maintenance planning for façade design, construction and maintenance operations.

Improving emergency evacuation capacity for subway stations based on agent-based modelling

Purpose Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner. Design/methodology/approach This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station. Findings Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM. Originality/value The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.

Developing a Blockchain-Based Framework for Digital Archiving of BIM Using Axiomatic Design

Building information modeling (BIM) has been attracting increasing attention in the architecture, engineering, and construction (AEC) industry in recent years. The wide spread of BIM marks the transition from 2D and paper-based archiving to 3D and digital archiving of project information. However, the commonly used centralized managing approaches for BIM data have high risks of data loss and data tampering. With cryptographic algorithms and distributed databases, blockchain has the potential to address the limitations of data loss and trust in conventional BIM management methods. Therefore, this paper proposes a blockchain-based framework for digital archiving of BIM data. In this paper, the axiomatic design approach is utilized to design the archiving framework in order to systematically map the design parameters with the functional requirements and minimize the information contents. The proposed framework contains five modules, including the BIM module, building plan approval (BPA) module, building data simplification (BDS) module, distributed data storage (DDS) module, and digital document verification (DDV) module. Hyperledger Fabric is utilized to develop the blockchain system based on the proposed framework. In the end, a simple BIM model with 240 components and around 11,000 lines of content in the Industry Foundation Classes (IFC) file is taken as an illustrative example to validate the proposed blockchain approach. By storing the BIM model on to the developed blockchain, it is found that each transaction of a blockchain can store over 5000 lines of IFC contents with 0.09 s of uploading latency. The results show that the proposed blockchain-based approach can effectively and securely archive BIM data.

Paths to BIM-based digital transformation: a bibliometric and systematic review of critical factors

PurposeThe purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation.Design/methodology/approachThis study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study.FindingsBesides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities.Originality/valueThis paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation.

Integrating Drone Imagery and AI for Improved Construction Site Management through Building Information Modeling

In the rapidly advancing field of construction, digital site management and Building Information Modeling (BIM) are pivotal. This study explores the integration of drone imagery into the digital construction site management process, aiming to create BIM models with enhanced object recognition capabilities. Initially, the research sought to achieve photorealistic rendering of point cloud models (PCMs) using blur/sharpen filters and generative adversarial network (GAN) models. However, these techniques did not fully meet the desired outcomes for photorealistic rendering. The research then shifted to investigating additional methods, such as fine-tuning object recognition algorithms with real-world datasets, to improve object recognition accuracy. The study’s findings present a nuanced understanding of the limitations and potential pathways for achieving photorealistic rendering in PCM, underscoring the complexity of the task and laying the groundwork for future innovations in this area. Although the study faced challenges in attaining the original goal of photorealistic rendering for object detection, it contributes valuable insights that may inform future research and technological development in digital construction site management.

The Development of an Automated System for a Quality Evaluation of Engineering BIM Models: A Case Study

The growing adoption of Building Information Modeling (BIM) within the architectural, engineering, and construction (AEC) sector raises questions about the quality of BIM data deliverables for project owners. Therefore, assessment and evaluation of such BIM data against relevant documents such as the BIM Execution Plan (BEP), the Level of Definition (LOD)/Level of Information (LOI) matrix, and quality control customized checklists become critical, especially in large construction projects. This study primarily aims to create an automated system for assessing the quality of 3D BIM model data, utilizing a proposed project quality control checklist. The automated system consists of four key elements: a BIM-based model, a Data Extraction and Analysis Module, a Data Storage Module, and a Data Visualization Module. The Data Extraction and Analysis Module extracts relevant information and parameters from BIM models to evaluate their quality against predefined checklists. Then, it transfers the information and stores the results in a database. The database is connected to an engineering project collaboration tool, ProjectWise, to automatically update and store the data in the cloud. The database is then connected to an interactive data visualization platform, Power BI, to enable automatic visualization of the generated quality assessment results of the BIM models’ data. This system was applied to a Canadian infrastructure construction project by its BIM department during the preliminary and detailed design phases. It demonstrated an average quality score (AQS) of 87.6% for the BIM models and significantly reduced failing items by around 30%. This study concludes that the system offers a robust, practical solution for enhancing the quality control process in BIM model data management, thereby aiding engineers in timely model adjustments to meet project requirements.

Concert Halls as Nearly Adaptive Spaces

Concert halls have led to increasingly complex spaces that cannot be thought of as static ‘containers’ anymore. This complexity makes them viable to be launched towards industry 4.0 and to be considered a function of the activities that they can provide during their life cycle. They are characterized by dynamic objects that contain sophisticated sub-systems and add to the capability to influence both environmental variables and user behavior. This article explains an adaptive concert hall at an early stage, in which a network of sensors that gather real-time data on environmental factors such as temperature, air humidity and air velocity are considered, focusing on their direct and indirect intercorrelations with the acoustic quantities to optimize the room acoustic response. The proposed methodology is controlled by a digital twin (DT) based on building information modeling (BIM), integrated with sensors, actuators, and acoustic measurements and algorithms. By analyzing the data, algorithms identify patterns, and an autonomous fine-tune setting is achieved, including the novelty for which a natural variable acoustic field becomes possible during a musical execution without the use of any electroacoustic system support. The hall becomes a natural active instrument to be included in the composer’s score. A case study is presented.

Appraising the Feasibility of 3D Printing Construction in New Zealand Housing

The construction industry in New Zealand is significantly impacted by the importance of housing, particularly as urbanisation continues to grow in major cities. Modern construction methods, such as offsite construction and building automation, evolving into digital manufacturing and construction in the industry, have become prominent. Despite the global recognition of 3D printing technology, its adoption in the construction industry in New Zealand is still relatively limited. This study aims to examine the feasibility of 3D printing construction in response to current market challenges, innovation, and the 2050 net-zero carbon goal. Utilising Building Information Modelling (BIM) and Life Cycle Assessment (LCA) approaches, this study investigated the environmental impacts of three housing types: 3D printing (3DP), light steel framed (LSF), and timber. This study used cradle-to-cradle as the system boundary. The results indicate that the 3DP house emits 20% fewer carbon emissions than the traditional timber house and 25% less than the LSF house. Additionally, the 3DP house exhibits a 19% lower annual electric energy consumption than the timber house. Therefore, in response to the growing housing demand in New Zealand, the construction industry must innovate and embrace digital and advanced construction methods, including the adoption of 3D printing.

Analysing carbon impacts of green roof at Hilton Watford: life-cycle assessment approach

This paper investigates the environmental aspects and energy impacts of implementing a green roof system at the Hilton Watford hotel, utilising building information modelling software (Revit) for three-dimensional modelling and Insight for energy simulation. Following EN 15804:2012+A2:2019, the study employs life-cycle assessment methodology, focusing on embodied and operational carbon. Environmental Product Declarations, Inventory of Carbon and Energy database and the Royal Institution of Chartered Surveyors guideline inform embodied carbon calculations. The results show the green roof system releases 263 839.56 kgCO2e as embodied carbon, while its sedum layer sequesters 211 468.12 kgCO2e over a 50 year lifespan. Energy efficiency analysis indicates a 3.3 kWh/(m2/year) reduction in energy consumption, leading to a 112 130.31 kgCO2e reduction in operational carbon dioxide emissions, highlighting the environmental benefits of green roof adoption. The findings suggest a 0.35% mitigation of whole life-cycle carbon dioxide emissions, with greater impact in situations of lower insulation effectiveness, showcasing the potential of green roofs in reducing carbon dioxide emissions. Additionally, the green roof incurs a minimal financial burden, constituting only 0.51% of the overall project cost.

Empowering architecture, engineering and construction students through building information modeling competitions: a deep dive into behavioral motivation

PurposeBuilding Information Modeling (BIM) competitions are a beneficial approach to enhance BIM education, offering students practical experience in BIM application, including mastering workflows and technical tools. However, research exploring the individual perceptions influencing participation intentions and behaviors in BIM competitions is limited. Therefore, this study aims to investigate the factors affecting university students' behavioral intention and behavior in BIM competitions, providing theoretical support for BIM competitions and educational reform.Design/methodology/approachThis study employs the Structural Equation Modeling (SEM) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to analyze the factors influencing BIM competition participation among 970 Architecture, Engineering, and Construction (AEC) university students.FindingsThe results of the study show that social influence, attitude, and self-efficacy play critical roles in shaping students' intentions to participate in BIM competitions. Furthermore, self-efficacy, facilitating conditions, and behavioral intention significantly influence students' actual engagement in such competitions. Surprisingly, effort expectancy negatively influences intentions, as less challenging tasks can lead students to perceive their participation as less impactful on their skills and learning, reducing their behavioral intention to participate.Originality/valueThis research provides valuable insights into the effectiveness of BIM competitions in enhancing BIM education for AEC students. Extending the UTAUT model to include self-efficacy and attitude, provides a novel perspective for understanding students' intentions and behaviors regarding BIM competitions. The study’s theoretical support proposes incorporating BIM competitions to augment BIM teaching methods and offers suggestions for advancing the efficacy of students' involvement in BIM competitions within higher education, thus contributing to educational reform in the AEC sector.

Evolutionary game analysis of collaborative application of BIM platform from the perspective of value co-creation

PurposeThe purpose of this paper is to explore the support for multi-party collaboration in project construction provided by building information modeling (BIM). Based on the perspective of value co-creation, the research results can provide support for the collaborative application and contract design of BIM platform.Design/methodology/approachIn this paper, an evolutionary game model involving the owner, designer and constructor is constructed by using prospect theory and evolutionary game theory. Through simulation analysis, the evolution law of the strategy choice of each party in the collaborative application of BIM platform is discussed and the key factors affecting the strategy choice of all parties are analyzed.FindingsThe results show that there is an ideal local equilibrium point with progressive stability in the evolutionary game between the three parties: “the construction party shares information, the designer receives the information and optimizes the project and the owner does not provide incentives”; in addition, the opportunistic behaviors of the design and construction parties, as well as the probability of such behaviors being detected and the subsequent punishment have a significant impact on the evolutionary outcome.Originality/valueThis method can provide support for the collaborative application and contract design of BIM platform.

Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments

AbstractThe nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber–physical systems have improved robotic platforms in this sector through digital twin (DT) technology. DTs enhance situational awareness for robot operators, crucial for safety in the nuclear energy sector, and their value is anticipated to increase with the growing complexity of cyber–physical systems. The primary motivation of this work is to rapidly develop and evaluate a robot fleet interface that accounts for these benefits in the context of nuclear environments. Here, we introduce a multimodal immersive DT platform for cyber–physical robot fleets based on the ROS‐Unity 3D framework. The system design enables fleet monitoring and management by integrating building information models, mission parameters, robot sensor data, and multimodal user interaction through traditional and virtual reality interfaces. A modified heuristic evaluation approach, which accounts for the positive and negative aspects of the interface, was introduced to accelerate the iterative design process of our DT platform. Robot operators from leading nuclear research institutions (Sellafield Ltd. and the Japan Atomic Energy Agency) performed a simulated robot inspection mission while providing valuable insights into the design elements of the cyber–physical system. The three usability themes that emerged and inspired our design recommendations for future developers include increasing the interface's flexibility, considering each robot's individuality, and adapting the platform to expand sensor visualization capabilities.

A review of extant literature and recent trends in residential construction waste reduction.

The residential construction sector in New Zealand and worldwide is experiencing increased criticism for generating substantial waste that poses environmental concerns. Accordingly, researchers have advocated implementing residential construction waste reduction (RCWR) strategies as a sustainable solution to managing construction waste (CW). This article aims to provide a comprehensive overview of RCWR by analysing 87 articles from the Scopus database using bibliometric and critical review methods. The co-occurrence analysis of keywords revealed five clusters, in which five main themes emerged: (i) waste generation and management performance, (ii) prefabrication and life cycle assessment concepts, (iii) design concepts, (iv) circular economy and (v) decision-making concepts. The findings suggest that sustainable practices such as designing for waste reduction, prefabrication, waste quantification, three-dimensional printing and building information modelling can effectively achieve RCWR. The study also highlights the benefits of RCWR, including reducing environmental impacts, and identifies management, economic, legislative, technology and cultural barriers that affect the implementation of RCWR strategies. These results provide valuable insights to support future policy formulation and research direction for RCWR in New Zealand.

Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights

This research paper explores the integration of novel technologies in hospital emergency evacuations, particularly in Operating Rooms (ORs) and Emergency Departments (EDs). It examines the application of advanced tools like simulation modeling, Building Information Modeling (BIM), Digital Twin technology, sensor data, and Artificial Intelligence (AI) to improve evacuation strategies in the building. The study extends to in-depth case studies for assessing the practicality of existing protocols, while also highlighting the critical importance of staff training and preparedness. Additionally, it addresses the ethical and psychological impacts of emergencies on patients and healthcare staff, underscoring the need for technology to be complemented with human-centered care. The paper concludes by emphasizing the ongoing necessity for innovative research in enhancing safety and operational resilience in healthcare emergency management.

CAMPUS: A mobile app for construction processes learning and teaching in higher education

AbstractThis article presents a descriptive, correlational, and quantitative study investigating the learning processes of undergraduate construction engineering and architecture students. The study aims to analyze the effectiveness of an alternative learning method compared to traditional approaches in engineering, architecture and construction education. The study focuses on the use of a mobile application (CAMPUS Javeriana) as a tool for experiential learning by using digital technologies, such as construction videos and photos, infographic images, building information modeling (BIM) models, virtual and augmented reality, among others, within the app. Forty‐six architecture students participated in the study, divided into control and experimental groups within each of three undergraduate courses. Pretest and posttest questionnaires were administered to assess the students' learning outcomes, preferences, and perception of the importance of learning technologies. The test results were analyzed using scatter plots, and statistical analysis was conducted using the Jamovi package in R Studio. The students' perceived importance of the mobile app and their preference to use it in the future were also evaluated. Contextual factors such as student characteristics, available resources, and instructors' teaching style were taken into consideration. The study implemented rubrics based on the Expected Learning Results for each course to measure the overall academic performance. Furthermore, the study explores the concept of learning gain and its relationship with the obtained results, shedding light on experiences, perceptions, and academic performance in the specific context of construction education. Findings suggest a positive impact on learning outcomes and perception as a result of using a series of multi‐media technologies in the mobile application.

Research on Pathology Information Management of Educational Architectural Heritage Based on Digital Technology: The Case of James Jackson Gymnasium

Rapid advances in technology have led to an increasing demand for this type of information in the field of cultural heritage and architectural conservation. The article aims to use digital technology to obtain, record, store, and display accurate and intuitive information about architectural heritage for daily management and repair of that heritage. This article conducts a comprehensive and in-depth study of the pathology information from the James Jackson Gymnasium, a typical case of the modern educational architectural heritage of Wuhan. Research contents include obtaining point cloud data through 3D scanning, constructing Building Information Modeling (BIM) 3D models and pathological information models to visualize the affected parts, using the Monument Damage Diagnostic System (MDDS) to establish a pathological information map management system, using virtual simulation technology and digital repair technology to diagnose and repair the affected parts, and establishing a systematic architectural pathology information database to explore the causes of architectural pathology from a multidisciplinary perspective. The authors aim to gradually promote this method and build a systematic pathological information database of architectural heritage. This utilizes the sharing characteristics of information technology to transcend the barriers of time and space and provide important support for heritage protection and pathology management. The Architectural Pathology Information Management System is proposed as an innovative solution to promote the sustainable conservation of architectural heritage through digital technology.

The integration of construction planning and budget using Building Information Modelling (BIM): a systematic literature review

Although the current context of technological innovation and the applicability of the Building Information Modelling (BIM) methodology in Brazil and in several countries are widespread and in increasing evolution, errors/lack of information are noticed in the planning and budgeting structure of the construction industry daily during the design process, which often leads to delays in expected deadlines and, as a consequence, failure to meet expected costs during the construction process. Current tools show their relevant contribution regarding integrating information from the project domain by providing simulations aiming at increasingly assertive results. In this context, a systematic literature review was carried out through bibliometric analysis and addressed in this article to direct and guide the object of this study towards the development of a method for integrating construction planning and budgeting using BIM. The proposed method contributes to academia and industry in relevant issues, such as time management involving the generation/updating of schedules, construction time simulation, and cost management involving the generation/updating of quantitative surveys, cost estimates, and simulation of construction costs. The results obtained were highlighted and addressed. The research concluded that a small number of few documents were obtained, which can direct the study to fill in gaps, thus contributing to the development of new studies in the context of this article. During the development of the study, the authors highlight the contribution of the research to the proposed method, aiming for dissemination in the Academic area and application in Construction Companies. The proposed method is based on existing literature; however, due to the context of the topic, it inspires future investigations and continuous improvements.

Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts

ABSTRACT Building information modeling (BIM) is a disruptive information technology tool in the construction sector. Although this technology had a significant impact on the manufacturing industries, it, like any other technology, encountered several challenges when applied to the construction sector. Conversely, small and medium-sized enterprises (SMEs) in developing economies often face significant impediments when using innovative technologies. Thus, this paper seeks to determine and investigate the perceived barriers to applying BIM in construction SMEs based in Iran. Three rounds of Delphi surveys were carried out with 15 BIM experts engaged in construction SMEs to identify the key barriers to BIM implementation in SMEs. An empirical survey questionnaire comprising these identified barriers was subsequently designed and disseminated to the invited experts. Altogether, 56 valid survey responses were received and analyzed. The study’s findings revealed SMEs management’s hesitancy to adopt BIM, stakeholders’ reluctance to change their established methods, and a lack of technical understanding as the critical impediments to BIM adoption in construction SMEs. Also, the study identified four barrier dimensions – technology, legal, management, and financial. These BIM implementation barrier dimensions can be employed to better allocate resources and financing for BIM deployment and construction innovation in SMEs. The study will assist major project stakeholders and SMEs make better-informed BIM adoption decisions, particularly in developing nations like Iran.

Multi-criteria decision support model for selecting the appropriate construction management firm

Construction management (CM) companies serve as representatives for clients, aiding them in overseeing construction projects throughout the project’s entire life cycle. Opting for the right CM firm enhances the likelihood of a successful project completion. Existing research has highlighted a lack of decision support models for CM firms. This study introduces a multi-criteria decision support model employing the Analytic Hierarchy Process (AHP) for the selection of suitable Construction Management firms. The primary objective of this model is to guide decision-makers in choosing the most suitable CM firm, ensuring that the provider offers the necessary services from project initiation to closure. Additionally, this research seeks to standardize the CM firm selection process based on key criteria, which were identified through a literature review. The significance of these criteria was assessed via a survey distributed to construction professionals in the United Arab Emirates (UAE). The survey collected feedback by having respondents make pairwise comparisons of the identified criteria. The data, consisting of 52 survey responses, were analysed using Expert Choice software and utilized to construct the AHP-based model. The findings reveal that the most crucial factors for CM firm selection are prior experience in similar projects, financial stability, proficiency in Building Information Modelling (BIM), the qualifications and capabilities of key staff members, ongoing project experience, and expertise in risk management. The study also presents a four-stage framework that decision-makers can follow when selecting the appropriate CM firm, and it includes a case study to illustrate the application of the proposed model.

Low-Cost Data, High-Quality Models: A Semi-Automated Approach to LOD3 Creation

In the dynamic realm of digital twin modeling, where advancements are swiftly unfolding, users now possess the unprecedented ability to capture and generate geospatial data in real time. This article delves into a critical exploration of this landscape by presenting a meticulously devised workflow tailored for the creation of Level of Detail 3 (LOD3) models. Our research methodology capitalizes on the integration of Apple LiDAR technology alongside photogrammetric point clouds acquired from Unmanned Aerial Vehicles (UAVs). The proposed process unfolds with the transformation of point cloud data into Industry Foundation Classes (IFC) models, which are subsequently refined into LOD3 Geographic Information System (GIS) models leveraging the Feature Manipulation Engine (FME) workbench 2022.1.2. This orchestrated synergy among Apple LiDAR, UAV-derived photogrammetric point clouds, and the transformative capabilities of the FME culminates in the development of precise LOD3 GIS models. Our proposed workflow revolutionizes this landscape by integrating multi-source point clouds, imbuing them with accurate semantics derived from IFC models, and culminating in the creation of valid CityGML LOD3 buildings through sophisticated 3D geometric operations. The implications of this technical innovation are profound. Firstly, it elevates the capacity to produce intricate infrastructure models, unlocking new vistas for modeling digital twins. Secondly, it extends the horizons of GIS applications by seamlessly integrating enriched Building Information Modeling (BIM) components, thereby enhancing decision-making processes and facilitating more comprehensive spatial analyses.