Purpose: The purpose of this paper is to present a pedagogical practice in the project-based assessment of architectural, engineering and construction (AEC) students’ interdisciplinary building design work adopting BIM. This pedagogical practice emphasizes the impacts of BIM, as the digital collaboration platform, on the cross-disciplinary teamwork design through information sharing. This study also focuses on collecting students’ perceptions of building information modeling (BIM) effects in integrated project design. Challenges in BIM adoption from AEC students’ perspective were identified and discussed, and could spark further research needs. Design/methodology/approach: Based on a thorough review of previous pedagogical practices of applying BIM in multiple AEC disciplines, this study adopted a case study of the Solar Decathlon (SD) residential building design as the group project for AEC students to deliver the design work and construction planning. In total 13 different teams within the University of Nottingham Ningbo China, each group consisting of final year undergraduate students with backgrounds in architecture, civil engineering, and architectural environmental engineering, worked to deliver the detailed design of the solar-powered residential house meeting pre-specified project objectives in terms of architectural esthetics, structural integrity, energy efficiency, prefabrication construction techniques and other issues such as budget and scheduling. Each team presented the cross-disciplinary design plan with cost estimate and construction scheduling together within group reports. This pedagogical study collected students’ reflective thinking on how BIM affected their design work, and compared their feedback on BIM to that from AEC industry professionals in previous studies. Findings: The case study of the SD building project showed the capacity of BIM in enabling interdisciplinary collaboration through information exchange and in enhancing communication across different AEC fields. More sustainable design options were considered in the early architectural design stages through the cross-disciplinary cooperation between architecture and building services engineering. BIM motivated AEC student teams to have a more comprehensive design and construction plan by considering multiple criteria including energy efficiency, budget, and construction activities. Students’ reflections indicated both positive effects of BIM (e.g. facilitating information sharing) as well as challenges for further BIM implementation, for example, such as some architecture students’ resistance to BIM, and the lack of existing family types in the BIM library, etc. Research limitations/implications: Some limitations of the current BIM pedagogy were identified through the student group work. For example, students revealed the problem of interoperability between BIM (i.e. Autodesk Revit) and building energy simulation tools. To further integrate the university education and AEC industry practice, future BIM pedagogical work could recruit professionals and project stakeholders in the adopted case studies, for the purpose of providing professional advice on improving the constructability of the BIM-based design from student work. Practical implications: To further integrate the university education and AEC industry practice, future BIM pedagogical work could recruit professionals and project stakeholders in the adopted case study, for the purpose of providing professional advice in improving the constructability of the BIM-based design from student work. Originality/value: This work provides insights into the information technology applied in the AEC interdisciplinary pedagogy. Students gained the experience of a project-based collaboration and were equipped with BIM capabilities for future employment within the AEC job market. The integrated design approach was embedded throughout the team project process. Overall, this BIM pedagogical practice emphasized the link between academic activities and real-world industrial practice. The pedagogical experience gained in this BIM course could be expanded to future BIM education and research in other themes such as interoperability of building information exchange among different digital tools.

This study focused on the effects of these demographic factors on construction employees’ safety perceptions. It first initiated a theoretical framework illustrating the impacts of demographic factors (i.e., education level, gender, and age) on employee’s perceptions towards pre-defined site hazards as well as their general safety perception. Then site questionnaire survey approach was adopted in nine construction jobsites in southeastern China followed by statistical analysis. The study revealed that construction employees’ education level, although not affecting their perceptions towards safety hazards/accidents, could create differences in other general safety perceptions between management staff and workers. Gender differences were found in safety perceptions of hazard/accident scenes and general safety perceptions, indicating that gender issue in safety perceptions applied consistently crossing different industries. Employees between 37 and 46 years old tended to underestimate safety risks from commonly encountered hazards, suggesting the needs of continued safety refreshers for employees in the middle of their career. This study contributed to the body of knowledge in safety perceptions by investigating the effect of three major subgroup or demographic factors, including education level, gender, and age, which had not been sufficiently addressed in construction safety subculture or sub-climate.

This article describes the methods developed to couple a commercial computational fluid dynamics (CFD) program with a multi-segmented model of human thermal comfort and physiology. A CFD model is able to predict detailed temperatures and velocities of airflow around a human body, whilst a thermal comfort model is able to predict the response of a human to the environment surrounding it. By coupling the two models and exchanging information about the heat transfer at the body surface, the coupled system can potentially predict the response of a human body to detailed local environmental conditions. This article presents a method of exchanging data, using shared files, to provide a means of dynamically exchanging simulation data with the IESD-Fiala model during the CFD solution process. Additional code is used to set boundary conditions for the CFD simulation at the body surface as determined by the IESD-Fiala model and to return information about local environmental conditions adjacent to the body surface as determined by the CFD simulation. The coupled system is used to model a human subject in a naturally ventilated environment. The resulting ventilation flow pattern agrees well with other numerical and experimental work.