ReviewSensors (Basel, Switzerland)2024
Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review.
Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Review of Multi-Scale Bridge Monitoring: An Information-Centric Framework Integrating Ground-Penetrating Radar, Distributed Optical-Fibre Sensing, and Satellite Remote Sensing for Bridge Digital Twins.Sensors (Basel, Switzerland) · 2026Review
- Integrated Physics-Informed Machine Learning Framework for Structural Damage Detection, Localization, and Severity Classification.Sensors (Basel, Switzerland) · 2026Article
- Dynamic monitoring of railway bridges via coupling digital twins with deep reinforcement learning.Scientific reports · 2026Article
- Digital twin-based multi-scale framework for seismic integrity assessment of deep underground caverns.Scientific reports · 2026Article
- A Digital Twin Framework for Structural Health Monitoring of Existing Large-Span Bridges.Sensors (Basel, Switzerland) · 2026Article
- Artificial intelligence assisted structural realignment of high-rise buildings through lifting, grouting and reinforcement.Scientific reports · 2026Article
- A hybrid experimental-numerical framework for prestressed concrete bridge model validation and sensor placement optimization: a case study.Scientific reports · 2026Article
- Advancing Structural Health Monitoring: Accurate PCB Design for IoT-Based Real-Time Damage Detection with Digital Twin Integration.Sensors (Basel, Switzerland) · 2026Article
- Risks Related to Advanced Bridge Monitoring Technologies.Sensors (Basel, Switzerland) · 2026Review
- Design of a Modularized IoT Multi-Functional Sensing System and Data Pipeline for Digital Twin-Oriented Real-Time Aircraft Structural Health Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Smart Structural Monitoring: Real-Time Bridge Response Using Digital Twins and Inverse Analysis.Sensors (Basel, Switzerland) · 2025Article
- Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies.Sensors (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Civil infrastructure assets' contribution to countries' economic growth is significantly increasing due to the rapid population growth and demands for public services. These civil infrastructures, including roads, bridges, railways, tunnels, dams, residential complexes, and commercial buildings, experience significant deterioration from the surrounding harsh environment. Traditional methods of visual inspection and non-destructive tests are generally undertaken to monitor and evaluate the structural health of the infrastructure. However, these methods lack reliability due to the need for instrumentation calibration and reliance on subjective visual judgments. Digital twin (DT) technology digitally replicates existing infrastructure, offering significant potential for real-time intelligent monitoring and assessment of structural health. This study reviews the existing applications of DTs across various sectors. It proposes an approach for developing DT applications in civil infrastructure, including using the Internet of Things, data acquisition, and modelling, together with the platform requirements and challenges that may be confronted during DT development. This comprehensive review is a state-of-the-art review of advancements and challenges in DT technology for intelligent monitoring and maintenance of civil infrastructure.
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.