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This paper covers the development of a novel defect model for concrete highway bridges. The proposed defect model is intended to facilitate the identification of bridge’s condition information (i.e. defects), improve the efficiency and accuracy of bridge inspections by supporting practitioners and even machines with digitalised expert knowledge, and ultimately automate the process.

The research design consists of three major phases so as to (1) categorise common defect with regard to physical entities (i.e. bridge element), (2) establish internal relationships among those defects and (3) relate defects to their properties and potential causes. A mixed-method research approach, which includes a comprehensive literature review, focus groups and case studies, was employed to develop and validate the proposed defect model.

The data collected through the literature and focus groups were analysed and knowledge were extracted to form the novel defect model. The defect model was then validated and further calibrated through case study. Inspection reports of nearly 300 bridges in China were collected and analysed. The study uncovered the relationships between defects and a variety of inspection-related elements and represented in the form of an accessible, digitalised and user-friendly knowledge model.

The contribution of this paper is the development of a defect model that can assist inexperienced practitioners and even machines in the near future to conduct inspection tasks. For one, the proposed defect model can standardise the data collection process of bridge inspection, including the identification of defects and documentation of their vital properties, paving the path for the automation in subsequent stages (e.g. condition evaluation). For another, by retrieving rich experience and expert knowledge which have long been reserved and inherited in the industrial sector, the inspection efficiency and accuracy can be considerably improved.

The purpose of this paper is to investigate the benefits that client organisations expect from building information modelling (BIM) investment in Malaysia. Furthermore, this paper investigates the outcomes that, from the stakeholders’ point of view, the BIM approach needs to present.

To achieve this aim, this research employed a series of structured interviews which were conducted with representatives from client construction organisations in Malaysia. A structured questionnaire, containing 34 items, was used to collect data from respondents.

This research’s findings indicated that increased project revenue is one of the most expected benefits of BIM investment. In addition, it has been revealed that the Malaysian construction industry has implemented the BIM approach to project management. Furthermore, the great deal of acceptance among industrial players has been significantly positive, and thereby it can be concluded that the implementation of BIM in Malaysia has lots of potential.

This paper’s finding offers great knowledge, policy, and academic contribution, acknowledging the development of BIM’s implementation within the Malaysian construction industry.

Construction manufacturers predominantly rely upon antiquated manual design and production processes and procedures because they lack technical skills needed to automate working practices. This paper aims to automate manufacturing processes by optimising the utilisation of BIM digital objects (BDO) via the development of a conceptual model. Concomitant objectives seek to reduce design errors; eliminate unnecessary costs; automate the generation of quantity bills; and maximise productivity performance.

An inductive approach was adopted through a post positivist epistemological lens set within the context of a case study of a small- and medium-sized enterprise. From an operational perspective, both qualitative and quantitative data were collected and analysed via a novel four-phase waterfall design, namely, literature diagnosis; recording contemporary practice; mapping manufacturing workflow and procedures; and evaluation and proof of concept development.

The work illustrates that BDO enhances manufacturing workflow, reduces product manufacturing lead time and augments quality assurance throughout the whole life cycle of a manufactured product. The conceptual model developed provides a pragmatic and comprehensive solution to automate construction manufacturing procedures and to improve the facilitation of information exchanged between all stakeholders involved.

This study presents the first comprehensive case study of BDO application within a manufacturing context. Future research is however, needed to test and validate the conceptual model presented in practice. In doing so, the model can be further refined using practitioner input and real-life manufacturing processes and procedures.

This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.

This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.

This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.

Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.

Automation facilitates production activities within offsite construction (OSC) projects through computer-controlled and mechanised systems that can be programmed to deliver various products in a self-regulating sequence. Despite known benefits of automation to offsite production, the level of automation adoption in New Zealand is low. This study is an effort to understand the current status of automation within the New Zealand construction industry and to identify the barriers and enablers to its uptake.

This study utilises the qualitative approach of semi-structured interviews (open-ended questions). Using a referral sampling strategy (snowballing), fifteen New Zealand industry experts were interviewed, and the data collected were analysed using qualitative content analysis.

The study found that there is a weak business case for full automation. Four main categories of barriers to the uptake of automated OSC were identified, including requirement of high capital cost, lack of education about automation and OSC and non-existence of regulations to support OSC. It was noted that financial supports to the OSC sub-sector in form of subsidies, tax waivers, and enhanced leasing model could enhance the uptake of automation. Further to this more awareness about OSC's automation and regulations suitable for OSC could enhance the confidence of business owners to invest in this area.

Originality of this paper stems from the fact that, not much attention has been paid to investigating the uptake of automation for OSC sub-sector of construction industry in New Zealand context.

The paper aims to leverage the importance of the integrated automatic structural design for tall buildings at the early stage. It proposes to use an automatic prototype to perform the structural design, analysis and optimisation in a building information modelling (BIM)-based platform. This process starts with extracting the required information from the architectural model in Revit Autodesk, such as boundary conditions and designs different options of the structural models in Robot Autodesk. In this process, Dynamo for Revit is used to define the mathematical functions to use different variables and generate various structural models. The paper aims to expand the domain of automation in the BIM platform to reduce the iterative process in different areas such as conceptual structural design and collaboration between architects and structural engineers to reduce the time and cost at the early stages.

The paper begins with an exploratory research by adopting a qualitative methodology and using open-ended questions to achieve more information about the phenomenon of automation and interoperability between structural engineers and architects and gain new insight into this area. Furthermore, correlation research is used by adopting quantitative and short questions to compare the proposed prototype with the traditional process of the structural design and optimisation and the interoperability between architects and engineers and consequently, validate the research.

As an outcome of the research, a structural design optimisation (SDO) prototype was developed to semi-automate the structural design process of tall buildings at the early stages. Moreover, the proposed prototype can be used during the early stage of structural design in different areas such as residential buildings, bridges, truss, reinforced concrete detailing, etc. Moreover, comprehensive literature regarding using automation in structural design, optimisation process and interoperability between architects and engineers is conducted that provides a new insight to contribute to future research and development.

Due to the time limit, the paper results may lack in a comprehensive automatic structural design process. Therefore, the researchers are encouraged to expand the workability of the prototype for a comprehensive automatic design check such as automatic design for the minimum deflection, displacement of different types of buildings.

The prototype includes implications for the development of different automatic designs.

The focus of this paper is the optimisation of the structural design in the BIM platform by using automation. This combination is one of the novelties of this paper, and the existing literature has a very limited amount of information and similar work in this area, especially interoperability between architects and engineers.

Request for information (RFI) documents play a pivotal role in seeking clarifications in construction projects. However, perceived as inevitable “non-value adding” tasks, they harbour risks like schedule delays and increased project costs, underlining the importance of strategic RFI management in construction projects. Despite this, a lack of literature dissecting RFI processes impedes a full understanding of their intricacies and impacts. This study aims to bridge the gap through a comprehensive literature review, delving into RFI intricacies and implications, while emphasising the necessity for strategic RFI management to prevent project risks.

This research study systematically reviews RFI-related papers published between 2000 and 2023. Accordingly, the review discusses key themes related to RFI management, yielding best practices for industry stakeholders and highlighting research directions and gaps in the body of knowledge.

Present RFI management platforms exhibit deficiencies and lack analytics essential for streamlined RFI processing. Complications arise in building information modelling (BIM)-enabled projects due to software disparities and interoperability hurdles. The existing body of knowledge heavily relies on manual content analysis, an impractical approach for the construction industry. The proposed research direction involves automated comprehension of unstructured RFI content using advanced text mining and natural language processing techniques, with the potential to greatly elevate the efficiency of RFI processing.

The study extends the RFI literature by providing novel insights into the problemetisation with the RFI process, offering a holistic understanding and best practices to minimise adverse effects. Additionally, the paper synthesises RFI processes in traditional and BIM-enabled project settings, maps a causal-loop diagram to identify associated issues and summarises approaches for extracting knowledge from the unstructured content of RFIs. The outcomes of this review stand to offer invaluable insights to both industry practitioners and researchers, enabling and promoting the refinement of RFI processes within the construction domain.

The outbreak of COVID-19 pandemic has posed severe challenges to infrastructure construction in China. Particularly, the complex technology and high process uncertainty of deep foundation pit construction make its safety risk identification a challenging issue of general concern. To address these challenges, Building Information Modeling (BIM) can be used as an important tool to enhance communication and decision-making among stakeholders during the pandemic. The purpose of this study is to propose a knowledge management and BIM-integrated safety risk identification method for deep foundation pit construction to improve the management efficiency of project participants.

This paper proposes a risk identification method that integrates BIM and knowledge management for deep foundation pit construction. In the framework of knowledge management, the topological relationships between objects in BIM are extracted and visualized in the form of knowledge mapping. After that, formal expressions of codes are established to realize the structured processing of specification provisions and special construction requirements. A comprehensive plug-in for deep foundation pit construction is designed based on the BIM software.

The proposed method was verified by taking a sub-project in deep foundation pit project construction as an example. The result showed the new method can make full use of the existing specification and special engineering requirements knowledge. In addition, the developed visual BIM plug-in proves the feasibility and applicability of the proposed method, which can help to increase the risk identification efficiency and refinement.

The deep foundation pit safety risk identification is challenged by the confusion of deep foundation pit construction safety knowledge and the complexity of the BIM model. By establishing the standardized expression of normative knowledge and special construction requirements, the efficiency and refinement of risk identification are improved while ensuring the comprehensiveness of results. Moreover, the topology-based risk identification method focuses on the project objects and their relations in the way of network, eliminating the problem of low efficiency from the direct BIM-based risk identification method due to massive data.

Defining building information modelling (BIM) standards for the infrastructure domain is a central issue to the successful implementation of BIM in civil engineering domains. To this end, this paper aims to present a requirements and process analysis for the ports and waterways domain to address the lack of BIM standards development, using the information delivery manual (IDM) approach and the ethos of openBIM standards.

This research uses the IDM approach. This involves the definition of use cases, process maps, exchange scenarios and subsequent exchange requirements. All these developments were sourced and validated by a series of international industry consultations.

The paper identifies 30 domain relevant use cases collated from existing sources and new cases. An overview and detailed ports and waterways process map (defining actors, activities and data exchanges). The process maps highlighted 38 exchange scenarios between various activities. Various exchange requirements were defined and are discussed in the context of the required information exchange model and the extensions required to fulfil the needs of the domain. The analysis provides the core information for the next steps of development for a substantial extension to the Industry Foundation Classes and the supporting data dictionary standards.

Because of the international scope of the research, the outcomes can be applied by any stakeholders in the domain of ports and waterways. Therefore, some variation is expected at a national and organizational level. This research has the potential to accelerate the adoption of openBIM standards within the ports and waterways domain leading to increases in efficiency, collaborative working.

This paper reviews the requirements of an identified gap in the provision of openBIM standards relevant and applicable to the domain of ports and waterways.

Although building information modelling (BIM) brings various benefits and open up the construction industry to many new possibilities, it is not without some challenges. Blockchain has the potential to resolve some of these problems. It has shown that blockchain and BIM can potentially work together in bringing various benefits to all project stakeholders. However, there is a lack of research and knowledge in relation to blockchain-based BIM. Therefore, the purpose of this study is to close this gap by looking into the potential functionality and workability of blockchain within a BIM environment.

A four-stage preferred reporting items for systematic reviews and meta-analyses systematic literature review technique has been used to review the blockchain- and BIM-related information sources published. A total of 53 journal articles, 13 books and 27 other resources including that of reports and websites have been included in this paper.

Blockchain-based BIM has countless possibilities, ranging from simple tasks such as tracking of orders to automation of construction payment claims. The literatures have suggested that the several weaknesses that BIM possesses including trust issue, asset ownership issue and data reliability issue could be resolved by incorporating blockchain into its processes.

Because of the lack of researches on the workability of blockchain and BIM, this paper aims to close this gap by proposing a framework for the interaction between blockchain and BIM for a typical building project. This paper has reviewed a substantial amount of currently available knowledge on blockchain-based BIM and its relevancy to the construction industry. This paper believes that the information could be of use to potential BIM tools maker and the construction industry for the betterment of BIM implementation throughout a project life cycle.