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Song Wu

Bio: Song Wu is an academic researcher from Nottingham Trent University. The author has contributed to research in topics: Building information modeling & Project management. The author has an hindex of 18, co-authored 54 publications receiving 1379 citations. Previous affiliations of Song Wu include University of Huddersfield & University of Salford.


Papers
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TL;DR: In this paper, the authors present a review of the literature published in leading journals through Science Direct and Scopus databases within this research domain to establish research trends, and importantly, to identify research gaps for future investigation.
Abstract: Over the past 15 years, the evaluation of energy demand and use in buildings has become increasingly acute due to growing scientific and political pressure around the world in response to climate change. The estimation of the use of energy in buildings is therefore a critical process during the design stage. This paper presents a review of the literature published in leading journals through Science Direct and Scopus databases within this research domain to establish research trends, and importantly, to identify research gaps for future investigation. It has been widely acknowledged in the literature that there is an alarming performance gap between the predicted and actual energy consumption of buildings (sometimes this has been up to 300% difference). Analysis of the impact of occupants’ behaviour has been largely overlooked in building energy performance analysis. In short, energy simulation tools utilise climatic data and physical/ thermal properties of building elements in their calculations, and the impact of occupants is only considered through means of fixed and scheduled patterns of behaviour. This research review identified a number of areas for future research including: larger scale analysis (e.g. urban analysis); interior design, in terms of space layout, and fixtures and fittings on occupants’ behaviour; psychological cognitive behavioural methods; and the integration of quantitative and qualitative research findings in energy simulation tools to name but a few.

345 citations

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TL;DR: This paper attempts to take advantage of the strength of BIM, ontology and semantic web technology to establish an ontology-based methodology/framework for construction risk knowledge management in BIM environment.

164 citations

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TL;DR: The IFC standard can be used to express the information for the construction cost estimating for tendering in China as a whole, but some extensions in the form of proxy elements and property sets are needed.

132 citations

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TL;DR: The definition and aims of the “3D to nD Modelling” project, a platform grant-funded project by UK’s British Engineering and Physics Sciences Research Council, are outlined and a scenario of widening BIM implementation into the overall aspects involved in the whole life cycle of a building project is presented.

120 citations

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TL;DR: In this article, an integrated building information system that aims to determine the progress of construction from digital images captured on site in order to semi-automate the work in progress measurement and calculation of interim payments as well as function as an early warning system of potential delays.

100 citations


Cited by
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TL;DR: This paper explores some of the publicly available international guidelines and introduces the BIM Framework, a research and delivery foundation for industry stakeholders, and identifies and deploys visual knowledge models and a specialised ontology to represent domain concepts and their relations.

1,334 citations

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TL;DR: The rhetorical-promotional dimension of the BIM implementation sometimes characterized as a "BIM utopia" is analyzed and an activity-theoretical and evolutionary view by drawing conceptual tools from science and technology studies and other relevant social scientific literature is outlined.

403 citations

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TL;DR: This paper presents a comprehensive review of research literature on systems integration and collaboration in AEC/FM, and discusses challenging research issues and future research opportunities.

344 citations

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TL;DR: In this paper, an extension of the BIM technology that allows to manage information during the entire lifecycle of an AEC project is presented, which plays a central role in the improvement of the design and the management process.

323 citations

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TL;DR: The results reveal that the developed hybrid model (CNN + LSTM) is able to accurately detect safe/unsafe actions conducted by workers on-site and exceeds the current state-of-the-art descriptor-based methods for detecting points of interest on images.

307 citations