ReviewSensors (Basel, Switzerland)2022
Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Internet of things (IoT) for safety and efficiency in construction building site operations.Scientific reports · 2024Article
- Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics.Communications engineering · 2024Article
- Digital Twin Approach for Operation and Maintenance of Transportation System-Systematic Review.Sensors (Basel, Switzerland) · 2024Review
- Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers.Sensors (Basel, Switzerland) · 2024Article
- Navigating the Evolution of Digital Twins Research through Keyword Co-Occurence Network Analysis.Sensors (Basel, Switzerland) · 2024Review
- An Approach to Develop Digital Twins in Industry.Sensors (Basel, Switzerland) · 2024Article
- Digital Twin of a Gear Root Crack Prognosis.Sensors (Basel, Switzerland) · 2023Article
- Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices.Sensors (Basel, Switzerland) · 2023Review
- Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems.Biomimetics (Basel, Switzerland) · 2023Review
- Design for Robustness: Bio-Inspired Perspectives in Structural Engineering.Biomimetics (Basel, Switzerland) · 2023Article
- Operational and Analytical Modal Analysis of a Bridge Using Low-Cost Wireless Arduino-Based Accelerometers.Sensors (Basel, Switzerland) · 2022Article
- Application of Digital Twins and Metaverse in the Field of Fluid Machinery Pumps and Fans: A Review.Sensors (Basel, Switzerland) · 2022Review
- Low-Cost Wireless Structural Health Monitoring of Bridges.Sensors (Basel, Switzerland) · 2022Article
- Digital Twin-Based Integrated Monitoring System: Korean Application Cases.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We live in an environment of ever-growing demand for transport networks, which also have ageing infrastructure. However, it is not feasible to replace all the infrastructural assets that have surpassed their service lives. The commonly established alternative is increasing their durability by means of Structural Health Monitoring (SHM)-based maintenance and serviceability. Amongst the multitude of approaches to SHM, the Digital Twin model is gaining increasing attention. This model is a digital reconstruction (the Digital Twin) of a real-life asset (the Physical Twin) that, in contrast to other digital models, is frequently and automatically updated using data sampled by a sensor network deployed on the latter. This tool can provide infrastructure managers with functionalities to monitor and optimize their asset stock and to make informed and data-based decisions, in the context of day-to-day operative conditions and after extreme events. These data not only include sensor data, but also include regularly revalidated structural reliability indices formulated on the grounds of the frequently updated Digital Twin model. The technology can be even pushed as far as performing structural behavioral predictions and automatically compensating for them. 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.