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  <title><![CDATA[PhD Defense by Shaivan Shivaprakash]]></title>
  <body><![CDATA[<p>School of Civil and Environmental Engineering<br><br>Ph.D. Thesis Defense Announcement<br><br><br>Influence of Micro-scale Mechanisms on Macro-scale Properties of Bio-cemented Soils<br><br>By Shaivan Shivaprakash<br><br>Advisor:<br><br>Dr. Susan E. Burns<br><br>Committee Members: Dr. Sheng Dai (CEE), Dr. Xing Xie (CEE),<br>Dr. David Frost (CEE), Dr. Yuanzhi Tang (EAS)<br><br>Date and Time: July, 21, 2025. 11:00 – 2:00 PM EST<br><br>Location: SEB 122<br><br>Due to its versatile applications, microbially induced carbonate precipitation (MICP) via<br>urea hydrolysis has gained considerable interest in diverse fields, ranging from soil sciences to<br>applied microbiology, to geomicrobiology to civil and environmental engineering. The objective<br>of this thesis is to elucidate the role of micro-scale mechanisms on the macro-scale behavior of<br>bio-cemented soils, and the overarching goal of this research is to address the growing need for<br>sustainable ground improvement techniques in geotechnical engineering.<br>A series of bench scale column experiments were performed to investigate the impacts of micro-scale factors on the implementation of MICP under a range of experimental conditions. The<br>scope of the MICP technique was expanded beyond traditionally tested silica sands to include the<br>carbonate-rich soils to improve the versatility and robustness of the technique, which showed that<br>the pre-existing carbonate soil particles served as preferential sites for calcite crystal growth due<br>to their lower energy barrier compared to nucleation on silica particles. These findings were further<br>validated through MICP experiments on artificially graded carbonate-sand mixtures, where similar<br>calcite morphologies were observed on Iceland Spar (pure calcium carbonate) particles. A novel<br>experimental setup was introduced in this research to capture the effect of non-uniform<br>cementation on the evolution of shear-wave velocity of the bio-cemented column. The testing<br>setup successfully captured the spatial variation in Vs with treatment depth, as well as the average<br>stiffness of the entire bio-cemented column, overcoming the limitations of previous studies and<br>provided quantifiable improvements in geotechnical engineering properties with treatment depth<br>as a result of bio-cementation.<br>Additionally, micro-scale visualization performed on biologically preserved bio-cemented<br>specimens showed bacterial cells entombed within calcite crystals and serving as nucleation sites,<br>growth of individual bacterial cells and colonies predominantly near the precipitated calcite, and<br>formation of bacterial chains connecting different calcite crystals together resulting in the<br>formation of cementation bonds between soil particles. These findings provided direct evidence<br>for key hypothesized mechanisms in the MICP process and offer a more comprehensive, holistic<br>understanding of the physicochemical and biological interactions that drive soil bio-cementation. Micro-scale observations of precipitated calcite morphologies and cementation bonds<br>across all tested soils revealed three primary mechanisms responsible for increase in shear-wave<br>velocity: contact cementation, particle-coating, and pore filling and matrix cementation. These<br>mechanisms were shown to be influenced by the physical properties of the soil, including particle<br>size, shape, mineralogy, and specific surface area (SSA). Importantly, the traditional linear<br>relationship between Vs and calcite content, widely used in the literature, failed to account for the<br>observed variability across these different soil types and morphology. To address this limitation,<br>Vs was related to normalized calcite content, defined as calcite content divided by the specific<br>surface area of the soil. The model demonstrated improved performance in capturing the variation<br>in Vs across both the experimental dataset of this study and a broader literature dataset. This model<br>was found to be generalizable across a wide range of soils, including those with varying particle<br>sizes, mineralogy, and morphological characteristics, thereby providing a more robust framework<br>for predicting the stiffness of bio-cemented soils during the MICP process.</p>]]></body>
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