000231264 001__ 231264
000231264 005__ 20180317092400.0
000231264 037__ $$aCONF
000231264 245__ $$aQuantitative analysis of the crystalline bond lattice of bio-improved soils using micro-computed tomography
000231264 269__ $$a2017
000231264 260__ $$bISSMGE Publications$$c2017
000231264 336__ $$aConference Papers
000231264 520__ $$aThe study presents a comprehensive characterization of the fabric of bio-improved soils by introducing an image based quantitative analysis of the crystalline bond lattice, as a means of better understanding and interpreting the observed mechanical response. Calcium carbonate (CaCO3) bonds, produced under the presence and metabolism of the soil bacterium Sporosarcina Pasteurii, are analyzed through micro-Computed Tomography (μ-CT). Using a digital-based image processing methodology, and subsequent three-dimensional reconstruction of the solid matrix, we determine the bond particle orientation, sizes and volumetric fraction. Such parameters referring to the morphology and spatial distribution of crystals have been treated so-far in the literature, mainly, in qualitative methods. The study presented herein provides with new insight into the irregular morphology of the crystalline bond lattice and the critical role of the contact area between soil particles and calcite nuclei. Results from fine- and medium-grained bio-improved sands are validated against experimentally measured parameters. CaCO3 bonds are found to exhibit distinctive morphological trends which affect the contact area and ultimately, the mechanical response of the bio-cemented geo-material.
000231264 6531_ $$aimage processing
000231264 6531_ $$asoil fabric
000231264 6531_ $$ashear strength
000231264 6531_ $$amicro-structure
000231264 700__ $$0248054$$aTerzis, Dimitrios$$g242534
000231264 700__ $$0240226$$aLaloui, Lyesse$$g105611
000231264 7112_ $$a19th International Conference on Soil Mechanics and Geotechnical Engineering (Seoul)$$cSeoul, South Korea$$dSeptember 17-22, 2017
000231264 720_1 $$aTechnical Committee 211, Ground Improvement$$eed.
000231264 909CO $$ooai:infoscience.tind.io:231264$$pENAC$$pconf
000231264 909C0 $$0252080$$pLMS$$xU10264
000231264 917Z8 $$x242534
000231264 937__ $$aEPFL-CONF-231264
000231264 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000231264 980__ $$aCONF