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Low cost structural health monitoring of bridges using wireless SenSpot sensors.

File Language:
English


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  • Alternative Title:
    Low cost structural health monitoring of bridges using wireless sensors
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  • Edition:
    Final report.
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  • Abstract:
    Deterioration of highway bridges is a common, yet complex problem. To protect highway bridges, this

    project combines a number of recent and emerging technologies – microstructured sensing, ultra-lowpower

    wireless communication, and advanced microelectronics – into a novel, small, and lightweight

    wireless device known as SenSpot. SenSpot sensors are based on Active RF Technology (ART), which

    offers a high performance method for large-scale sensing, wireless synchronization, and ultra low power

    wireless communication. To evaluate ART technology, the project investigators studied laboratory and

    field performance of SenSpot sensors. In particular, research was conducted to study performance of

    SenSpot sensors in accurate measurement of strain and tilt (inclination). Laboratory experiments showed

    that although SenSpot sensors operate under extremely tight energy constrains and consume less that 4

    microwatts of power, the devices provide a very accurate measurement of strain and tilt. Moreover, field

    performance of SenSpot sensors installed on a bridge on I-495 was closely analyzed. They study showed

    that SenSpot sensors used to measure tilt on the bridge bearings provide a consistent readout with the

    expected change in the orientation of the bearings as a result of thermal expansion/contraction of the bridge

    deck; hence, SenSpot sensors provide a reliable remote monitoring tool to detect instances where bridge

    bearings could possibly freeze or overturn. Additionally, SenSpot sensors that were used for strain

    measurement showed that the device can detect instances when loading conditions of a bridge change or a

    structural change in the bridge happens.

  • Format:
    PDF
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  • Main Document Checksum:
    urn:sha-512:6bf2b666259d0fcf213387f3576eb82af3ce79fb77f20723fdbeb5f2e2c95cc383c882cfb44594b9567bbd3703cd367385a0bdc02b94565fb201f63ae4793417
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    Filetype[PDF - 1.25 MB ]
File Language:
English
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