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<p>This study explores the potential of glass polishing waste (GPW) in improving clayey soil from the Guabirotuba formation. The research stands out by developing a novel geomaterial and proposing equations to predict mechanical behavior, focusing on the effects of porosity (η), GPW content, and cement on unconfined compressive strength (<i>q</i><sub>u</sub>), splitting tensile strength (<i>q</i><sub>t</sub>), and durability through accumulated loss of mass (ALM). This research contributes to understanding the parameters that influence the mechanical strength and durability of soil–cement, and soil–cement-GPW blends through the adequacy of the porosity/cement content (η/C<sub>iv</sub>) and porosity/binder content (η/B<sub>iv</sub>) indices on <i>q</i><sub>u</sub>, <i>q</i><sub>t</sub>, and ALM. Soil–cement-GPW blends and a control group (soil–cement) were analyzed, and the microstructure of the best blends was evaluated using scanning electron microscopy (SEM). The results showed that the soil–cement-GPW blends exhibited superior mechanical strengths compared to the soil–cement blends, reaching a maximum value of <i>q</i><sub>u</sub> = 3176&#xa0;kPa and <i>q</i><sub>t</sub> = 946&#xa0;kPa after 90&#xa0;days in the soil + 8%cement + 15%GPW blends compacted at the modified effort. Soil–cement specimens showed higher ALM (soil + 8%cement; ALM = 8.1%) than the blends with GPW (soil + 8%cement + 15%GPW; ALM = 2.5%). The <i>q</i><sub>u</sub> of specimens in durability tests decreased by 15% to 49.5% compared to those in <i>q</i><sub>u</sub> tests after 28&#xa0;days of curing, with the highest losses in blends with lower cement content and no GPW. The results of <i>q</i><sub>u</sub>, <i>q</i><sub>t</sub>, and ALM were successfully correlated with the η/C<sub>iv</sub> and η/B<sub>iv</sub> indices in power-type relationships. These indices proved effective for predicting <i>q</i><sub>u</sub>, <i>q</i><sub>t</sub>, and ALM, replacing conventional trial-and-error strategies that are typically labor-intensive and time-consuming.</p>

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Enhancing Soil–Cement Properties Using Glass Polishing Waste: Impact of Porosity and Binder Indices

  • 期刊论文

  • 发表日期：

    2025年1月9日

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  • Yeimy Ordoñez Muñoz,
  • Alvaro Javier Esteban Villota-Mora,
  • Daniel Leal Brandão,
  • Monigleicia Alcalde Orioli,
  • Tainá Silva Sá Britto,
  • Jair Arrieta Baldovino,
  • Ronaldo Luis dos Santos Izzo

摘要

This study explores the potential of glass polishing waste (GPW) in improving clayey soil from the Guabirotuba formation. The research stands out by developing a novel geomaterial and proposing equations to predict mechanical behavior, focusing on the effects of porosity (η), GPW content, and cement on unconfined compressive strength (qu), splitting tensile strength (qt), and durability through accumulated loss of mass (ALM). This research contributes to understanding the parameters that influence the mechanical strength and durability of soil–cement, and soil–cement-GPW blends through the adequacy of the porosity/cement content (η/Civ) and porosity/binder content (η/Biv) indices on qu, qt, and ALM. Soil–cement-GPW blends and a control group (soil–cement) were analyzed, and the microstructure of the best blends was evaluated using scanning electron microscopy (SEM). The results showed that the soil–cement-GPW blends exhibited superior mechanical strengths compared to the soil–cement blends, reaching a maximum value of qu = 3176 kPa and qt = 946 kPa after 90 days in the soil + 8%cement + 15%GPW blends compacted at the modified effort. Soil–cement specimens showed higher ALM (soil + 8%cement; ALM = 8.1%) than the blends with GPW (soil + 8%cement + 15%GPW; ALM = 2.5%). The qu of specimens in durability tests decreased by 15% to 49.5% compared to those in qu tests after 28 days of curing, with the highest losses in blends with lower cement content and no GPW. The results of qu, qt, and ALM were successfully correlated with the η/Civ and η/Biv indices in power-type relationships. These indices proved effective for predicting qu, qt, and ALM, replacing conventional trial-and-error strategies that are typically labor-intensive and time-consuming.