Effects of carbonate distribution pattern on the mechanical behaviour of bio-cemented sands: A DEM study

Zhang, Aoxi; Dieudonné, Anne-Catherine

doi:10.1016/j.compgeo.2022.105152

Cited by 6 publications

(3 citation statements)

References 67 publications

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“…Figure 2 presents the spatial variation of carbonate content of each DEM sample. The methodology for the preparation of DEM samples, contact law and model parameters are described in Zhang and Dieudonné (2022).…”

Section: Dem Sample Preparationmentioning

confidence: 99%

“…Therefore, following Zhang and Dieudonné (2022), this study sheds the light on the role of inhomogeneity in the carbonate distribution on the mechanical performance of bio-cemented soils. Cemented samples with either bridging or contact cementing distribution patterns are modelled and assigned with different inhomogeneity characteristics.…”

Section: Introductionmentioning

confidence: 96%

“…These factors together control the mechanical performance of bio-cemented sands. A previous numerical study by Zhang and Dieudonné (2022) investigated the effects of carbonate distribution patterns on the mechanical behaviour of biocemented sands. In that study, four typical carbonate distribution patterns were conceptualised and modelled using discrete element method (DEM): bridging (where carbonates are located at the gap between sand grains, and connect sand grains), contact cementing (where carbonates are located at contacts between sand particles), coating (where carbonates coat sand grains) and pore filling (where carbonates fill in the pore space).…”

Section: Introductionmentioning

confidence: 99%

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Effects of Carbonate Distribution Inhomogeneity on the Improvement Level of Bio-cemented Sands: A DEM Study

Zhang

Dieudonné

2022

Challenges and Innovations in Geomechanics

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Microbially induced carbonate precipitation (MICP) involves bacteria to drive calcite precipitation and naturally cement soils, thereby improving soils performance. Experimental studies have shown that bio-cemented specimen can suffer from severe spatial inhomogeneity of the calcite content, leading to large uncertainty in treatment efficiency prediction. To evaluate the effect of inhomogeneity on the mechanical behaviour of bio-cemented soils, the discrete element method (DEM) is used to model bio-cemented samples with a single carbonate distribution pattern (i.e. either bridging or contact cementing) but different characteristics of inhomogeneity. Both drained triaxial compression and triaxial extension simulations are carried out to evaluate the impact of inhomogeneity along different loading paths. The results indicate that inhomogeneity has different effects on bio-cemented samples depending on the carbonate distribution patterns and the loading path. Specifically, the shear strength in compression of samples exhibiting bridging cementation is largely affected by inhomogeneity, while the effect on shear strength in extension is negligible. On the other hand, samples with contact cementing show limited sensitivity to the variation of inhomogeneity under both triaxial compression and triaxial extension tests.

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Section: Dem Sample Preparationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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