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Record W7112277855

Experimental and numerical investigations on compressive and tensile responses of heterogeneous soils in cold environments

2025· other· en· W7112277855 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsUltimate tensile strengthPermafrostCompressive strengthCreepFinite element methodRheologyWork (physics)Residual strength
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.281
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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