An intelligent BIM-enabled digital twin framework for real-time structural health monitoring using wireless IoT sensing, digital signal processing, and structural analysis

Hu, Xi; Olgun, Gulsah; Assaad, Rayan H.

doi:10.1016/j.eswa.2024.124204

Cited by 6 publications

(1 citation statement)

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“…Applying AI and IoT technology to transportation infrastructure AMS holds great potential for enhancing efficiency, safety, and predictive maintenance [276]. This integration process involves deploying IoT sensors and devices across critical infrastructure elements such as roads and bridges to collect diverse real-time data on traffic flow, structural health, and environmental impacts [277,278]. The present study believes that a valuable application of an AI-based transportation AMS is to track a given defect or distress on a pavement segment or bridge location back to its construction quality and initial design flaws to identify the cause and present preventive solutions.…”

Section: Transportation Infrastructure Maintenance and Rehabilitation...mentioning

confidence: 99%

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

Taheri,

Sobanjo

2024

Infrastructures

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The recent rise in the applications of advanced technologies in the sustainable design and construction of transportation infrastructure demands an appropriate medium for their integration and utilization. The relatively new concept of Civil Integrated Management (CIM) is such a medium; it enhances the development of digital twins for infrastructure and also embodies various practices and tools, including the collection, organization, and data-management techniques of digital data for transportation infrastructure projects. This paper presents a comprehensive analysis of advanced CIM tools and technologies and categorizes its findings into the following research topics: application of advanced surveying methods (Advanced Surveying); geospatial analysis tools for project planning (Geospatial Analysis); multidimensional virtual design models (nD Modeling); Integrated Geospatial and Building Information Modeling (GeoBIM); and transportation infrastructure maintenance and rehabilitation planning (Asset Management). Despite challenges such as modeling complexity, technology investment, and data security, the integration of GIS, BIM, and artificial intelligence within asset-management systems hold the potential to improve infrastructure’s structural integrity and long-term performance through automated monitoring, analysis, and predictive maintenance during its lifetime.

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Section: Transportation Infrastructure Maintenance and Rehabilitation...mentioning

confidence: 99%