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Journal ArticleDOI

A digital construction framework integrating building information modeling and reverse engineering technologies for renovation projects

TLDR
A digital construction framework that integrates building information modeling (BIM) and reverse engineering (RE) to improve information utilization in different phases and thus reduce mistakes and reworks in renovation projects during urban renewal is proposed.
About
This article is published in Automation in Construction.The article was published on 2019-06-01. It has received 82 citations till now. The article focuses on the topics: Building information modeling & Work breakdown structure.

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Construction 4.0: A Literature Review

TL;DR: In this article, a bibliometric analysis was conducted among 260 research articles using seven keywords to understand construction 4.0, coined in 2016 in Germany, and the results reveal that the number of publications is growing exponentially, with the USA, the UK, and China being leaders in this field; besides, four technologies are essential to understand Construction 4. 0 at present time: 3D printing, big data, virtual reality, and Internet of Things.
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Integrating three-dimensional road design and pavement structure analysis based on BIM

TL;DR: The aim of this research is to develop a framework for the integration of BIM and structure verification to improve the application of B IM in road engineering and thus reduce the mistake and repetition in pavement design.
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Parametric modeling and structure verification of asphalt pavement based on BIM-ABAQUS

TL;DR: This study effectively strengthened the BIM with structural analysis capability by developing a conversion interface based on BIM-ABAQUS that can not only present three-dimensional visual modeling but also conduct structural calculation for asphalt pavement.
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A systematic review of emerging technologies in industrialized construction

TL;DR: In this paper, the authors identify the current mainstream research directions and research gaps in applying emerging technologies in industrialized construction, and provide a roadmap for future research, with specific short-term and long-term solutions to address the identified research gaps.
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A review of integrated applications of BIM and related technologies in whole building life cycle

TL;DR: The current mode of interactive use of BIM is summarized and the challenges faced by BIM applications are sorted out to provide reference for the risks andChallenges faced by the future industry.
References
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Book

BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors

TL;DR: The Building Information Modeling (BIM) is a new approach to design, construction, and facility management in which a digital representation of the building process is used to facilitate the exchange and interoperability of information in digital format as mentioned in this paper.
Journal ArticleDOI

Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

TL;DR: This article surveys techniques developed in civil engineering and computer science that can be utilized to automate the process of creating as-built BIMs and outlines the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Journal Article

Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST

TL;DR: A survey of state-of-the-art methods for automated as-built BIM creation can be found in this article, where the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Journal ArticleDOI

Urban land expansion and arable land loss in China - a case study of Beijing-Tianjin-Hebei region

TL;DR: Wang et al. as mentioned in this paper analyzed the spatio-temporal differences of urban land expansion and arable land loss among different-tier cities of the BTH (Beijing-Tianjin-Hebei) region in China in the 1990s and identified social, economic, political and spatial factors that led to these differences.
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