Experimental and numerical investigations on compressive and tensile responses of heterogeneous soils in cold environments
Bibliographic record
Abstract
Climate change is profoundly affecting permafrost regions, posing significant challenges to infrastructure stability. As global temperatures rise, permafrost thaws, leading to ground subsidence and compromising structures such as roads, pipelines, and buildings. Understanding soil behavior under thermo-mechanical forces is crucial for designing resilient engineering solutions. This thesis offers a comprehensive study of the thermo-mechanical behavior of cold-region soils through experimental data and numerical analyses under compression, tension, and triaxial conditions. The research investigates temperature-dependent strength variations, effective measurement techniques for the tensile behavior of frozen soil, and the rheological and residual strength characteristics of lime-treated (L-soil) and untreated natural soil (N-soil) from northern Quebec, Canada, after freeze-thaw cycles. The key contributions of this work include: (I) identifying effective and reliable techniques for quantifying tensile strength; (II) determining the critical number of freeze-thaw cycles to predict residual strength in L-soil and N-soil; (III) analyzing failure modes and stress behavior in L-soil and N-soil under varying confining stresses and thermal conditions; (IV) accurately modeling visco-elastic, visco-plastic, and creep behavior of compressive and tensile strength using finite element methods; and (V) calibrating triaxial testing approaches against experimental data. Finally, this study simulates the damage initiation and crack propagation in uniaxial compressive test and indirect tensile test using damage XFEM model in finite element-based software package (Abaqus). Findings emphasize the importance of considering time-dependent strength degradation, analyzing the complex behavior of frozen soil due to interactions between frozen and unfrozen water, and quantifying tensile strength with minimal local plastic deformation. The research also highlights the benefits, drawbacks, and challenges of using lime to enhance soil residual strength in cold climates. Despite significant advancements, the research acknowledges limitations, such as the need for microscopic studies of unfrozen pore water and ice interactions, scanning electron microscopy (SEM) analyses of lime, silt, fine sand, and clay particle interactions, and broader validation efforts for real-world scenarios. Recommendations for future work include micro-level soil sample studies, dynamic and creep loading tests under various temperature and moisture conditions, modifying hyperbolic Drucker-Prager modeling to account for temperature-dependent parameters, conducting long-term studies, and integrating field data to enhance model accuracy and applicability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".