Journal ArticleDOI
Digital twin and its implementations in the civil engineering sector
TLDR
This research helps establish the state-of-the-art of DT in the civil engineering sector and suggests future DT development by extracting DT research clusters based on the co-occurrence analysis of paper keywords' and the relevant DT constituents.About:
This article is published in Automation in Construction.The article was published on 2021-10-01. It has received 107 citations till now. The article focuses on the topics: Building information modeling.read more
Citations
More filters
Journal ArticleDOI
Machine vision-based surface crack analysis for transportation infrastructure
Hu Wenbo,Weidong Wang,Chengbo Ai,Jin Wang,Wenjuan Wang,Xuefei Meng,Jun Liu,Haowen Tao,Shi Qiu +8 more
TL;DR: The applicability assessment is implemented to describe the deployment and optimization of deep learning in five crack analysis tasks: image classification, object detection, pixel segmentation, geometric scale quantification, and growth prediction.
Journal ArticleDOI
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen,Xiaoye Zhang,Olga Fink,Yan Lu,Sayan Ghosh,Byeng D. Youn,Michael D. Todd,Sankaran Mahadevan,Chao Hu,Zhenxiu Hu +9 more
TL;DR: In this paper , the fundamental role of different modeling techniques, twinning enabling technologies, and uncertainty quantification and optimization methods commonly used in digital twins are examined, and a battery digital twin is demonstrated, and more perspectives on the future of digital twin are shared.
Journal ArticleDOI
Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating
TL;DR: The present exploratory review covers the key Digital Twin aspects—its usefulness, modus operandi, application, etc.—and proves the suitability of Distributed Sensing as its network sensor component.
Journal ArticleDOI
Digital Twin: From Concept to Practice
TL;DR: The digitalization framework is proposed, designed and developed by following a Design Science Research (DSR) methodology over a period of 18 months to help practitioners select an appropriate level of sophistication in a DT by weighing capabilities.
Journal ArticleDOI
Drivers for Digital Twin Adoption in the Construction Industry: A Systematic Literature Review
De-Graft Joe Opoku,Srinath Perera,Robert Osei-Kyei,Maria Rashidi,Tosin Famakinwa,Keivan Bamdad +5 more
TL;DR: In this article , a systematic literature review of 58 relevant digital twin adoptions in the construction industry research was conducted and the authors identified and classified the drivers for DT adoption in the CI.
References
More filters
Journal ArticleDOI
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
Journal ArticleDOI
Building Information Modeling (BIM) for existing buildings — Literature review and future needs
TL;DR: Results show scarce BIM implementation in existing buildings yet, due to challenges of (1) high modeling/conversion effort from captured building data into semantic BIM objects, (2) updating of information in BIM and (3) handling of uncertain data, objects and relations in B IM occurring inexisting buildings.
Journal ArticleDOI
Digital Twin in Industry: State-of-the-Art
TL;DR: This paper thoroughly reviews the state-of-the-art of the DT research concerning the key components of DTs, the current development ofDTs, and the major DT applications in industry and outlines the current challenges and some possible directions for future work.
Journal ArticleDOI
Digital Twin in manufacturing: A categorical literature review and classification
TL;DR: It is shown, that literature concerning the highest development stage, the DT, is scarce, whilst there is more literature about DM and DS.
Proceedings ArticleDOI
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
TL;DR: In this article, the Digital Twin system integrates ultra-high fidelity simulation with the vehicle s on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to enable unprecedented levels of safety and reliability.