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    Fractal Characterization and NMR Analysis of Curing-Dependent Pore Structures in Cemented Tailings Waste RockBackfill by Jianhui Qiu, Xin Xiong, Keping Zhou

    Published 2025-06-01
    “…</mo><mi mathvariant="normal">U</mi><mi mathvariant="normal">C</mi><mi mathvariant="normal">S</mi><mo>)</mo><mo>,</mo></mrow></semantics></math></inline-formula> and a positive correlation between <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>a</mi></mrow></msub></mrow></semantics></math></inline-formula> and UCS (<i>R</i> = 0.43). (5) multivariate regression models incorporating pore volume fractions, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>T</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> relaxation times, and fractal dimensions predicted <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">U</mi><mi mathvariant="normal">C</mi><mi mathvariant="normal">S</mi></mrow></semantics></math></inline-formula> and <i>E</i> with <i>R</i><sup>2</sup> > 0.98; (6) the hierarchical sensitivity of fractal dimensions follows the order micro-, meso-, macropores. …”
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