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Highway bridges are designed for specific loads but are increasingly subjected to overweight vehicles, causing significant infrastructure damage. Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems have become essential for assessing structural integrity and predicting future performance. SHM provides real-time structural data, while WIM records vehicle loads, enabling the development of site-specific live load models. Additionally, Finite Element Analysis (FEA) is utilized in the digital twin simulations to help estimate the remaining service life by integrating SHM and WIM data. This study employs SHM sensors, including accelerometers and strain gauges, with Wi-Fi connectivity to simplify installation. A WIM system near bridge approaches identifies truck load spectra. Short-term strain data linked to truck weights were used to calibrate the FEA, while accelerometers collected periodic data to analyze structural responses. Event-triggered thresholds guide long-term monitoring, correlating acceleration data with structural stiffness. Case studies with various geometries incorporate inspection reports, including rebar corrosion, petrographic analysis, and concrete core samples, to refine the FE models and material properties. These inputs are critical for predicting future conditions and estimating service life.

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Data-Driven Approaches Integrating SHM, WIM, and Digital Twin for Service Life Assessment of the Brooklyn-Queens Expressway (BQE)

  • 会议论文

  • 发表日期：

    2025年

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  • Chaekuk Na,
  • Hani Nassif,
  • Patrick Lou,
  • Serap Hanbay,
  • Thales Couto Braguim,
  • Chan Yang,
  • Dawn Harrison,
  • Tanvi Pandya,
  • Kaan Ozbay

摘要

Highway bridges are designed for specific loads but are increasingly subjected to overweight vehicles, causing significant infrastructure damage. Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems have become essential for assessing structural integrity and predicting future performance. SHM provides real-time structural data, while WIM records vehicle loads, enabling the development of site-specific live load models. Additionally, Finite Element Analysis (FEA) is utilized in the digital twin simulations to help estimate the remaining service life by integrating SHM and WIM data. This study employs SHM sensors, including accelerometers and strain gauges, with Wi-Fi connectivity to simplify installation. A WIM system near bridge approaches identifies truck load spectra. Short-term strain data linked to truck weights were used to calibrate the FEA, while accelerometers collected periodic data to analyze structural responses. Event-triggered thresholds guide long-term monitoring, correlating acceleration data with structural stiffness. Case studies with various geometries incorporate inspection reports, including rebar corrosion, petrographic analysis, and concrete core samples, to refine the FE models and material properties. These inputs are critical for predicting future conditions and estimating service life.