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Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A
Zhiyan Sun1, Sanduni Jayasinghe1, Amir Sidiq1
1School of Engineering, RMIT University, 124 La Trobe Street, Melbourne, VIC 3000, Australia.
Digital twin (DT) technology offers a reliable solution for monitoring civil infrastructure health, overcoming limitations of traditional methods. This review explores DT applications, development, and challenges for intelligent infrastructure maintenance.
Area of Science:
- Civil Engineering
- Computer Science
- Structural Health Monitoring
Background:
- Civil infrastructure is crucial for economic growth but deteriorates due to environmental factors.
- Current monitoring methods (visual inspection, non-destructive tests) have reliability issues.
- Digital Twin (DT) technology presents a promising solution for real-time infrastructure assessment.
Purpose of the Study:
- To review existing Digital Twin applications across various sectors.
- To propose a framework for developing Digital Twin applications in civil infrastructure.
- To identify platform requirements and challenges in Digital Twin implementation for infrastructure.
Main Methods:
- Comprehensive literature review of Digital Twin technology in infrastructure.
- Analysis of Internet of Things (IoT), data acquisition, and modeling techniques for DTs.
- Examination of platform requirements and potential development challenges.
Main Results:
- Digital Twins enable intelligent, real-time monitoring and assessment of structural health.
- The study outlines a systematic approach for developing DTs in civil infrastructure.
- Key challenges and requirements for successful DT implementation are identified.
Conclusions:
- Digital Twin technology significantly enhances the reliability and efficiency of infrastructure monitoring.
- This review provides a state-of-the-art overview of DT advancements and challenges.
- DTs are essential for the intelligent maintenance and longevity of critical civil infrastructure.
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