Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Digital twin for intelligent tunnel construction
Abstract New-generation intelligent construction places higher demands on digitisation and intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real mapping, and analysis-based decision-making but with research in the initial stage. To begin with, this paper delves into the complexity and uncertainty inherent in tunnel construction, highlighting DT as a promising solution compared to exisiting technologies such as Building Information Modelling. Then, a systematic literature survey is conducted, revealing growing focus on DT research topics. To provide comprehensive insights into DT-related technologies and their application in tunnel construction, this paper clusters literature from perspectives of sensor networks, Internet of Things (IoT), computer vision-based twin data acquisition, communication, natural language processing (NLP), automatic control-based connection, and geometric, semantic, analytical integrated twin modelling. These aspects shed light on potentials and limitations of existing researh in developing a functional DT. In response to the challenges of information richness, timeliness, and analytical capabilities, an improved conceptual framework tailored for tunnel is proposed to close the information and control loop. Finally, the paper discusses the prospects and gaps of DT in theory and practice to leverage DT implementation.
Highlights Digital Twin greatly enhances the development of intelligent tunnel construction. A comprehensive literature analysis is conducted to assess status of Digital Twin technologies in tunnel construction. A close-loop conceptual framework of Digital Twin is proposed. Gaps and future prospects of Digital Twin for tunnel construction are discussed.
Digital twin for intelligent tunnel construction
Abstract New-generation intelligent construction places higher demands on digitisation and intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real mapping, and analysis-based decision-making but with research in the initial stage. To begin with, this paper delves into the complexity and uncertainty inherent in tunnel construction, highlighting DT as a promising solution compared to exisiting technologies such as Building Information Modelling. Then, a systematic literature survey is conducted, revealing growing focus on DT research topics. To provide comprehensive insights into DT-related technologies and their application in tunnel construction, this paper clusters literature from perspectives of sensor networks, Internet of Things (IoT), computer vision-based twin data acquisition, communication, natural language processing (NLP), automatic control-based connection, and geometric, semantic, analytical integrated twin modelling. These aspects shed light on potentials and limitations of existing researh in developing a functional DT. In response to the challenges of information richness, timeliness, and analytical capabilities, an improved conceptual framework tailored for tunnel is proposed to close the information and control loop. Finally, the paper discusses the prospects and gaps of DT in theory and practice to leverage DT implementation.
Highlights Digital Twin greatly enhances the development of intelligent tunnel construction. A comprehensive literature analysis is conducted to assess status of Digital Twin technologies in tunnel construction. A close-loop conceptual framework of Digital Twin is proposed. Gaps and future prospects of Digital Twin for tunnel construction are discussed.
Digital twin for intelligent tunnel construction
Li, Tao (Autor:in) / Li, Xiaojun (Autor:in) / Rui, Yi (Autor:in) / Ling, Jiaxin (Autor:in) / Zhao, Sicheng (Autor:in) / Zhu, Hehua (Autor:in)
15.11.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Digital twin , Intelligent tunnel construction , Literature review , Conceptual framework , Building information modelling , Knowledge graph , Point cloud , Machine learning , Infrastructure , AEC , Architecture, Engineering and Construction , AI , artificial intelligence , ANN , artificial neural network , APDL , ANSYS parametric design language , API , application programming interface , AR , augmented reality , BIM , Building Information Modelling , B-rep , Boundary-representation , CAE , Computer Aided Engineering , CityGML , city geological markup language , CNN , convolutional neural network , CPS , Cyber-Physical System , CSG , constructive solid geometry , CV , computer vision , DEM , discrete element method , DIC , digital image correlation , DL , deep learning , ETL , extract, transfer, load , FCN , full convolutional networks , FOS , fibre optic sensor , GIS , Geographic Information System , GNSS , Global Navigation Satellite System , GP , Gemini Principle , GPR , ground penetrating radar , GPRM , gaussian process regression methods , GPU , graphics processing unit , GRU , gate recurrent unit , HMM , hidden Markov models , HTTP , Hyper Text Transfer Protocol , IFC , Industry Foundation Classes , IoT , Internet of Things , JCR , journal citation report , KF , Kalman filtering , LoD , Level of Detail , LSTM , long-short term memory , IGA , Isogeometric analysis , ML , machine learning , MQTT , Message Queuing Telemetry Transport , NATM , new Austrian tunnelling method , NLP , natural language processing , O&M , operation and maintenance , OCR , Optical Character Recognition , OWL , Web Ontology Language , PCA , principal component analysis , PLS , partial least square , RDF , Resource Description Framework , RFID , Radio Frequency Identification , SHM , structural heath monitoring , SVR , support vector regression , TAK , title, abstract and keywords , TBM , tunnel boring machine , TPU , tensor processing unit , UAV , Unmanned Aerial Vehicle , VR , virtual reality , WOS , web of science , WSN , wireless sensor network , XML , Extensive Markup Language.
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