Advances in Civil Engineering

Digital Twin Technology in the Architectural, Engineering and Construction (AEC) Industry


Publishing date
01 Mar 2021
Status
Closed
Submission deadline
13 Nov 2020

Lead Editor

1Tsinghua University, Shenzhen, China

2Tsinghua University, Beijing, China

3Purdue University, Indiana, USA

4National University of Singapore, Singapore

This issue is now closed for submissions.
More articles will be published in the near future.

Digital Twin Technology in the Architectural, Engineering and Construction (AEC) Industry

This issue is now closed for submissions.
More articles will be published in the near future.

Description

In terms of digitalization and data-driven decision-making, the Architectural, Engineering and Construction (AEC) industry is still significantly behind other industries. Nevertheless, the emergence of new technologies including big data, deep learning, and the Internet of Things (IoT), brings great opportunities for transforming the AEC industry. The digital twin is the virtual representation of a physical building or infrastructure across its life cycle. It uses real-time data and other sources to enable learning, reasoning, and dynamic recalibrating for improved decision making.

Though the concept has existed for years, it is only in recent times that building information modelling (BIM) and the IoT have made the technology more affordable. While digital twin technology is expected to greatly benefit the AEC industry, there are challenges to its development, applications, and adoption.

The aim of this Special Issue is to collect state-of-the-art research findings on the latest developments and challenges in the field of digital twin for the AEC industry. High-quality reviews and original research papers that present current research gaps, theoretical frameworks, methodologies, and approaches are welcome.

Potential topics include but are not limited to the following:

  • Technologies and approaches for digital twin creation and updating, i.e., BIM, laser scanning, photogrammetry, IoT, computer vision, etc.
  • Data mining for improved decision making, including classification, association, clustering, and recognition
  • Knowledge modelling of various subdomains in the realm of digital twin
  • Model- and data-driven approaches for evaluation, prediction, and optimization in building life-cycle management based on digital twin
  • Augmented Reality and Mixed Reality that combine the virtual model with the physical world for efficient communication and collaboration
  • Real-world case studies of digital twin technology

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6644937
  • - Research Article

Intelligent Construction, Operation, and Maintenance of a Large Wastewater-Treatment Plant Based on BIM

Jiu-Lin Li | Li-Min Chen | Hao Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 8811684
  • - Research Article

An Experiment-Based Simplified Method for the Model of Building Groups in CFD Simulation

Hongling Guo | Ying Zhou | ... | Heng Li
  • Special Issue
  • - Volume 2021
  • - Article ID 8898997
  • - Research Article

Digital Twin in Computational Design and Robotic Construction of Wooden Architecture

Ye Zhang | A. Meina | ... | Zhen Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 8824613
  • - Research Article

A New Framework to Address BIM Interoperability in the AEC Domain from Technical and Process Dimensions

Ran Ren | Jiansong Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 8858322
  • - Research Article

Joint Investigation and 3D Visual Evaluation of Rock Mass Quality

Haiping Yuan | Chenghao Chen | ... | Yan Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 8865107
  • - Research Article

A Novel HDF-Based Data Compression and Integration Approach to Support BIM-GIS Practical Applications

Zeyu Pan | Jianyong Shi | Liu Jiang
  • Special Issue
  • - Volume 2020
  • - Article ID 8824135
  • - Research Article

Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking

Gang Yu | Shuang Zhang | ... | Y. Ken Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8848965
  • - Research Article

Factors Influencing BIM Adoption for Construction Enterprises in China

Ruixue Zhang | Yuyan Tang | ... | Zeyu Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8842113
  • - Review Article

Special Issue “Digital Twin Technology in the AEC Industry”

Jisong Zhang | Lihua Zhao | ... | Xiaofei Li
  • Special Issue
  • - Volume 2020
  • - Article ID 8846667
  • - Research Article

Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration

Yang Peng | Ming Zhang | ... | Shang Gao
Advances in Civil Engineering
 Journal metrics
Acceptance rate41%
Submission to final decision98 days
Acceptance to publication40 days
CiteScore1.700
Journal Citation Indicator0.430
Impact Factor1.924
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.