Requirements and challenges for infusion of SHM systems within Digital Twin platforms

被引:19
作者
Chacon, Rolando [1 ]
Casas, Joan R. [1 ]
Ramonell, Carlos [1 ]
Posada, Hector [1 ]
Stipanovic, Irina [2 ]
Skaric, Sandra [2 ]
机构
[1] Univ Politecn Cataluna, Barcelona, Spain
[2] Infra Plan Consulting, Zagreb, Croatia
基金
欧盟地平线“2020”;
关键词
Computer vision; digital twins; performance indicators; predictive maintenance; remote sensing; sensors; structural health monitoring; INFRARED THERMOGRAPHY; BUILDING MODELS; CONGRUENT SETS; BRIDGE; RECONSTRUCTION; REGISTRATION; SENSORS;
D O I
10.1080/15732479.2023.2225486
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The need for measurable data from physical assets to actively feed a living Digital Twin (DT) is paramount. The requirements and needs that the gathered data should fulfill in order to be practically implemented in the stream data pipeline are heterogeneous, some of them general and other case-specific. This article summarizes a set of identified challenges and requirements for a seamless infusion of well-established Structural Health Monitoring (SHM) systems within DT platforms, without the objective of solve all of them. This identification is performed based on a review of traditional SHM systems with a vast array of information sources as well as on the review of techniques for the systematic digitalization of existing assets. On the other hand, ten real demo cases belonging to Ashvin, an H2020 Research and Innovation project, are providing real world testing beds for an active development of SHM infused in DT systems. Multiple information sources are studied in those sites, which also enriches with more realism, the identification of requirements and challenges presented herein. These assets provide a perspective to researchers about practical implications of these needs.
引用
收藏
页码:599 / 615
页数:17
相关论文
共 84 条
[51]   Determination of Stay-Cable Forces Using Highly Mobile Vibration Measurement Devices [J].
Morgenthal, Guido ;
Rau, Sebastian ;
Taraben, Jakob ;
Abbas, Tajammal .
JOURNAL OF BRIDGE ENGINEERING, 2018, 23 (02)
[52]  
NIC, 2017, DAT INFR PAP NAT INF
[53]   On-site assessment of bridges supported by acoustic emission [J].
Olaszek, Piotr ;
Casas, Joan R. ;
Swit, Grzegorz .
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-BRIDGE ENGINEERING, 2016, 169 (02) :81-92
[54]   Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography [J].
Omar, Tarek ;
Nehdi, Moncef L. .
AUTOMATION IN CONSTRUCTION, 2017, 83 :360-371
[55]   Use of gaming technology to bring bridge inspection to the office [J].
Omer, Muhammad ;
Margetts, Lee ;
Mosleh, Mojgan Hadi ;
Hewitt, Sam ;
Parwaiz, Muhammad .
STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2019, 15 (10) :1292-1307
[56]   Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM [J].
Perez-Perez, Yeritza ;
Golparvar-Fard, Mani ;
El-Rayes, Khaled .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2021, 147 (09)
[57]   Experimental Dynamic Impact Factor Assessment of Railway Bridges through a Radar Interferometer [J].
Pieraccini, Massimiliano ;
Miccinesi, Lapo ;
Abdorazzagh Nejad, Ali ;
Naderi Nejad Fard, Azadeh .
REMOTE SENSING, 2019, 11 (19)
[58]   Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage [J].
Pierdicca, Roberto ;
Paolanti, Marina ;
Matrone, Francesca ;
Martini, Massimo ;
Morbidoni, Christian ;
Malinverni, Eva Savina ;
Frontoni, Emanuele ;
Lingua, Andrea Maria .
REMOTE SENSING, 2020, 12 (06)
[59]   Transport Infrastructure SHM Using Integrated SAR Data and On-Site Vibrational Acquisitions: "Ponte Della Musica-Armando Trovajoli" Case Study [J].
Ponzo, Felice Carlo ;
Iacovino, Chiara ;
Ditommaso, Rocco ;
Bonano, Manuela ;
Lanari, Riccardo ;
Soldovieri, Francesco ;
Cuomo, Vincenzo ;
Bozzano, Francesca ;
Ciampi, Paolo ;
Rompato, Matteo .
APPLIED SCIENCES-BASEL, 2021, 11 (14)
[60]   Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure [J].
Pregnolato, M. ;
Gunner, S. ;
Voyagaki, E. ;
De Risi, R. ;
Carhart, N. ;
Gavriel, G. ;
Tully, P. ;
Tryfonas, T. ;
Macdonald, J. ;
Taylor, C. .
AUTOMATION IN CONSTRUCTION, 2022, 141