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Improving the accuracy of camber predictions for precast pretensioned concrete beams.

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English


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  • Abstract:
    The discrepancies between the designed and measured camber of precast pretensioned concrete beams (PPCBs) observed by the

    Iowa DOT have created challenges in the field during bridge construction, causing construction delays and additional costs. This

    study was undertaken to systematically identify the potential sources of discrepancies between the designed and measured camber

    from release to time of erection and improve the accuracy of camber estimations in order to minimize the associated problems in

    the field.

    To successfully accomplish the project objectives, engineering properties, including creep and shrinkage, of three normal

    concrete and four high-performance concrete mix designs were characterized. In parallel, another task focused on identifying the

    instantaneous camber and the variables affecting the instantaneous camber and evaluated the corresponding impact of this factor

    using more than 100 PPCBs. Using a combination of finite element analyses and the time-step method, the long-term camber was

    estimated for 66 PPCBs, with due consideration given to creep and shrinkage of concrete, changes in support location and

    prestress force, and the thermal effects.

    Utilizing the outcomes of the project, suitable long-term camber multipliers were developed that account for the time-dependent

    behavior, including the thermal effects. It is shown that by using the recommended practice for the camber measurements

    together with the proposed multipliers, the accuracy of camber prediction will be greatly improved. Consequently, it is expected

    that future bridge projects in Iowa can minimize construction challenges resulting from large discrepancies between the designed

    and actual camber of PPCBs during construction.

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    urn:sha-512:4986a6d9f4b9a99891301feb10edc4fd196f52975ae0c9c7fd295961763da0d40a8e2dea2e142ff9dd5b9bac1c65da3410c3ed84148ca443c20609f740c6461d
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    Filetype[PDF - 4.73 MB ]
File Language:
English
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