| 000 | a | ||
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| 999 |
_c21867 _d21867 |
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| 003 | OSt | ||
| 005 | 20241209144619.0 | ||
| 008 | 241209b xxu||||| |||| 00| 0 eng d | ||
| 040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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| 100 |
_924718 _aMohammad Kamran |
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| 245 | _aRobustness of boltzmann-profile models for the inverse estimation of drying diffusivities of mortar and concrete | ||
| 250 | _aVol.98(2), Feb | ||
| 260 |
_aThane _bACC LTD _c2024 |
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| 300 | _a43-59p. | ||
| 520 | _aThis study utilises moisture distribution profiles harvested from literature and gravimetric observations made in the laboratory to analyse the robustness of three Boltzmann-profile, ?n(?) models which were previously adopted by various researchers for the modelling of non-linear hydraulic diffusivity, D(?n) of drying mortar and concrete. Such an analysis is necessary to ensure that the D(?n) data is reliable and free from modelling artefacts. A 2-parameter ?n(?) model is found to be better suited for the inverse estimation of D(?n) in comparison to a widely used 3-parameter model. The 2-parameter model captures the effects of water-to-cement ratio and temperature on D(?n) in accordance to the physics of the drying phenomenon. Also, it does not cause a sudden drop in the diffusivity curve near high saturation levels as is noted with the 3-parameter model. It is further noted that the 3-parameter ?n(?) model fails to fit low ?n - low ? data which is typically obtained using non-destructive imaging techniques. The 2-parameter model can fit low ?n - low ? data and is also suitable for high ?n - low ? data, obtained through gravimetric experiments, within the limit of ?n < 0.80. | ||
| 650 | 0 |
_94690 _aConstruction Engineering and Management (CEM) |
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| 700 |
_924719 _aSarkar, Kaustav |
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| 773 | 0 |
_dThane ACC Limited _tIndian Concrete Journal - ICJ _x0019-4565 |
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| 856 |
_uhttps://www.icjonline.com/editionabstract_detail/022024 _yClick here |
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| 942 |
_2ddc _cAR |
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