Integration strategies for advanced construction technologies in the US AECO industry

Advanced Construction Technologies (ACTs) have fundamentally altered the way the US Architecture, Engineering, Construction, and Operations (AECO) industry operates. Over the past few decades, the US AECO industry has undergone a technological awakening, which promises to improve project quality and efficiency in a multitude of ways. The shift towards technology adoption began with Building Information Modeling (BIM), which for many years struggled to gain acceptance due to a largely ad-hoc integration strategy for organizations. As technologies continue to emerge and develop beyond, and in parallel with BIM, there are no tools available to help evaluate, plan and integrate such advancements in US AECO workflows. A series of semi-structured interviews were conducted with US AECO industry technology experts to establish a cursory list of the factors which impede or promote the successful integration of ACTs. These factors were evaluated, ranked and rated through a Delphi study, conducted with a panel of industry experts who at the time specialized or leveraged ACTs. A novel continuously iterative Delphi platform was deployed to gain the requisite expert input for the importance rating and impact ranking for each of the factors cited as influential in technology integration. The collected data was used to help bridge the identified gap between ACT development and successful integration of ACTs into US AECO industry workflows. Within the context of existing technology integration theories, this study identifies and evaluates factors which influence technological integration success within the US AECO industry. This study begins the process of establishing a foundation of understanding as it relates to meaningful ACT integration.

Construction safety ontology development and alignment with industry foundation classes (IFC)

A pronounced gap often exists between expected and actual safety performance in the construction industry. The multifaceted causes of this performance gap are resulting from the misalignment between design assumptions and actual construction processes that take place on-site. In general, critical factors are rooted in the lack of interoperability around the building and work-environment information due to its heterogeneous nature. To overcome the interoperability challenge in safety management, this paper represents the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model for construction safety management and linking that ontology to IfcOWL. The developed ontology, named Safety and Health Exchange (SHE), comprises eight concepts and their relationships required to identify and manage safety risks in the design and planning stages. The main concepts of the developed ontology are identified based on reviewing accident cases from 165 Reporting of Injuries, Diseases and Dangerous Occurrences Regulations (RIDDOR) and 31 Press Releases from the database of the Health and Safety Executive (HSE) in the United Kingdom. Consequently, a semantic mapping between the developed ontology and IfcOWL (the most popular ontology and schema for interoperability in the AEC sector) is proposed. Then several SPARQL queries were developed and implemented to evaluate the semantic consistency of the developed ontology and the cross-mapping. The proposed ontology and cross-mapping gained recognition for its innovation in utilising OpenBIM and won the BuildingSMART professional research award 2020. This work could facilitate developing a knowledge-based system in the BIM environment to assist designers in addressing health and safety issues during the design and planning phases in the construction sector.

Construction schedule risk analysis – a hybrid machine learning approach

The UK commissions about £100 billion in infrastructure construction works every year. More than 50% of them finish later than planned, causing damage to the interests of stakeholders. The estimation of time-risk on construction projects is currently done subjectively, largely by experience despite there are many existing techniques available to analyse risk on the construction schedules. Unlike conventional methods that tend to depend on the accurate estimation of risk boundaries for each task, this research aims to proposes a hybrid method to assist planners in undertaking risk analysis using baseline schedules with improved accuracy. The proposed method is endowed with machine intelligence and is trained using a database of 293,263 tasks from a diverse sample of 302 completed infrastructure construction projects in the UK. It combines a Gaussian Mixture Modelling-based Empirical Bayesian Network and a Support Vector Machine followed by performing a Monte Carlo risk simulation. The former is used to investigate the uncertainty, correlated risk factors, and predict task duration deviations while the latter is used to return a time-risk simulated prediction. This study randomly selected 10 projects as case studies followed by comparing their results of the proposed hybrid method with Monte Carlo Simulation. Results indicated 54.4% more accurate prediction on project delays.

Implementing virtual reality - building information modeling in the construction management curriculum

As the industry transitions towards incorporating BIM in construction projects, adequately qualified students and specialists are essential to this transition. It became apparent that construction management programs required integrating Building Information Modeling (BIM) into the curriculum. By bringing Virtual Reality (VR) technology to BIM, VR-BIM would transform the architectural, engineering, and construction (AEC) industry, and three-dimensional (3D) immersive learning can be a valuable platform to enhance students' ability to recognize a variety of building principles. The study carries out a methodology for implementing the VR-BIM in the construction management undergraduate program. Based on the previous literature review, in-depth analysis of the program, and accreditation requirements, VR-BIM will be implemented throughout the curriculum by combining stand-alone class and integration in the existing courses method. The challenges that may face the program planning to implement VR-BIM are discussed, and few solutions are proposed. The lab classroom layout appropriate for the applications is designed to be adjusted for several layouts to accommodate all learning styles and objectives. A comparison between different Head-Mounted Display (HMD) headsets is carried out to choose the appropriate equipment for the lab.

VERBUM – virtual enhanced reality for building modelling (virtual technical tour in digital twins for building conservation)

The digital transformation of the construction sector is also involving cultural and architectural heritage conservation management to solve criticalities of information exchange in refurbishment/restoration, from the preliminary steps until the execution and monitoring of interventions. Nevertheless, time and resources required to complete digital models (point clouds, 3D meshes and HBIM model) are extensive and this can cause interruption of knowledge communication among professionals. The VERBuM project (Virtual Enhanced Reality For Building Modelling) aims at investigating how a central Virtual Technical Tour (VTT), would guarantee a continuous stream of information when other disruptive technologies are integrated in the process and their related products are linked to the VTT. The use of a VTT, based on 360° photos, may fill time and resources gaps as it is a rapid up-to-date and high-fidelityto-reality tool. The fostering of the paradigmatic change in refurbishment/restoration process requires the development of all-in-one digital environments for digital twinning of cultural and architectural heritage and its assessment, aware of potentialities and criticalities to be overcame. The research moves from stakeholders’ information requirements to implement the VERBuM process supported by the central VTT, editable via cloud-based platform (VERBuM product) to exchange digital contents, uploaded in different file format, but consulted in VR by all the involved actors via web services, without any software product installation. The tool has been evaluated via SWOT analysis supported by Task-Technology Fit (TTF) model and users’ perceptions. The results provide mitigation measures of threats related to distrust in use of VTT within working groups and fruition of point clouds, meshes and BIM models, possible via WebGL-based libraries.

BIM-enabled learning for building systems and technology

This paper presents a series of educational case studies for the BIM-enabled pedagogical approaches for learning building systems and technology in the early stages of architectural education and provides evidence-based arguments about the influence of BIM on the students’ learning processes. Using a dual-channel pedagogical framework the study employed an object-oriented ontological approach tightly integrated with the parameterization of building components and their behaviors. Students experienced a fully BIM-enhanced course for learning fundamental concepts of building systems and technology where the creation of parametric BIM models was the main vessel for comprehensive understanding. The results show significant conceptual and practical advantages of BIM-enabled learning as well as the observed challenges in an educational context. The study also suggests positive educational transformations due to carefully devised BIM-based pedagogical frameworks for the understanding of building systems through parametric thinking and modeling. Based on a grounded theory approach, the findings are synthesized in a theoretical learning model including the systemic relationships between building technology content and parametric BIM methodology.

Exploration of practitioner experiences of flexibility and transparency to improve BIM-based model checking systems

The use of BIM-based Model Checking (BMC) has the potential to improve building design processes by enabling the automation of building assessments. However, only a few BMC systems are being used in the building design practices. The limited use has been identified to be related to socio-technical challenges that have so far not received much attention in research regarding BMC systems. To explore these challenges, a Design Science Research methodology was used to design a BMC prototype to improve the socio-technical challenges of BMC systems, specifically challenges of transparency and flexibility. The prototype was tested with practitioners to investigate aspects of BMC systems that potentially hinder its use. The results were used to discuss the potential for more practical application of BMC systems in design practices to obtain the benefits of providing a faster, more consistent, and more precise assessment of buildings.

BIM aided information and visualization repository for managing construction delay claims

Delays in construction result in a multitude of negative effects on project performance, and severe dismays among participating parties. This study aims to digitize the traditional process of recording and managing the construction delays using Building Information Modeling (BIM). Extensive literature review followed by semi-structure interviews of 21 industry experts were carried out to identify the issues faced by construction stakeholders in managing construction delays. To resolve these issues, a plugin named BIM-based Construction Delays Recorder (BIM-CDR) is developed using Application Programming Interface (API) of the most commonly used BIM software i.e. Autodesk Revit. BIM-CDR provides a centralized repository, encompassing detailed information related to delays, which can be retrieved and visualized to analyze their impact on delay claims. To assess the effectiveness of BIM-CDR, a feasibility study is conducted with the experts’ review panel. The results revealed that BIM-CDR can record wide-ranging information related to all the significant issues causing delays on construction sites, and can help in effectively managing their corresponding claims. The advantages of the developed prototype include visualization of delays’ location, facilitation of delay analysis and effective delays management. Moreover, it also promotes transparency and speedy settlement of delay related claims without any unwanted disputes.

Application of BIM for structural engineering: a case study using Revit and customary structural analysis and design software

Building information modelling (BIM) represents a workflow whose application on a construction project will enable all involved players to compile as well as work with information on every aspect of a building in a common model/database. Through BIM, the entire building can be virtually designed and built on a computer. BIM touches every part of a building’s life cycle starting from the design phase well into the construction phase and beyond that into asset management. This research examines the experiences of early adopters of BIM and use that insight to introduce BIM, specially focusing on the structural analysis and design stage of a building. The study demonstrates how all structural design activities can be integrated with each other and how cross-discipline collaboration with the architect can be achieved through the adoption of BIM without leaving ones customary structural design platform. As a demonstration, a sample building is modelled using Revit along with conventional structural software packages ETABS and SAFE. Plugins and applications were developed for these software packages to facilitate interoperability amongst them so that they all act together as a single platform. Modelling, analysis, design and clash detections were facilitated by applying BIM. Major benefits of employing BIM in a structural design project are illustrated through this research.

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

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