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Numerical analysis of dense narrow backfills for increasing lateral passive resistance.

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English


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    Final.
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  • Abstract:
    Previously, full-scale lateral load tests conducted on pile caps with different aspect ratios showed that placement

    of a narrow, dense backfill zone against the cap could substantially increase the passive resistance. The objective

    of this study is to develop design equations to predict the increased passive resistance for these limited width

    backfills for both 2D and 3D conditions. For this purpose, the finite element program, PLAXIS 2D was used to

    investigate the 2D or plane strain passive resistance. To validate the procedure, numerical results were calibrated

    against analytical results obtained from PYCAP and ABUTMENT. The analytical models were additionally

    validated by comparison with measured ultimate passive resistances. The calibrated model was then used to

    simulate the passive behavior of limited width gravel backfills. Parametric studies were also executed to

    evaluate the influence of a range of selected design parameters, related to the pile cap geometry and backfill soil

    type, on the passive resistance of limited width backfills. Numerical results indicated that significant increases in

    passive resistance could be expected for long abutment walls where end effects are less pronounced and the

    geometry is closer to a plane strain condition. Based on results obtained from the parametric studies, a design

    method was developed for predicting the ultimate passive resistance of limited width backfills, for both plane

    strain and 3D geometries. Comparisons between measured and numerical results indicated that using the Brinch-

    Hansen 3D correction factor, R3D, as a multiplier to the plane strain resistances, will provide a conservative

    estimate of the actual 3D passive response of a pile cap with a limited width backfill.

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    urn:sha256:b4620572e8f98d49120e61cc72367e6a1b6487e3fb8befebca2fff98f196e0a2
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    Filetype[PDF - 3.91 MB ]
File Language:
English
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