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Record W3115224551

Earth Pressure on Walls Retaining Overconsolidated Collapsible Soils Subjected to Partial

2020· dissertation· en· W3115224551 on OpenAlexaboutno aff
yara obeid

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2020
Typedissertation
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsConsolidation (business)Geotechnical engineeringSoil waterDegree of saturationCohesion (chemistry)Lateral earth pressureGeologySaturation (graph theory)Environmental scienceSoil scienceMathematics
DOInot available

Abstract

fetched live from OpenAlex

Collapsible soils are problematic soils that cover large parts of North and South America, Eastern Canada, Eastern Europe, China, Northern and Southern Africa, Russia and Egypt. Collapsible soils are identified as unsaturated soils that exhibit high strength when dry, but experience a drastic volume reduction when subjected to inundation. Due to today’s constant growth in construction and urban development, being exposed to these types of soils has become unavoidable. Collapsible soils are mainly challenging when exposed to water, which is usually the case in excavations where retaining walls are used. Therefore, this thesis focuses on analyzing the earth pressure acting on walls retaining collapsible soils subjected to partial inundation. The thesis will analyze the behavior of at-rest and passive earth pressure on walls retaining collapsible soils, with respect to the change in the degree of saturation, at variable values of over-consolidation ratio. 
\nA 2-D finite element model was developed using the software “ABAQUS”, that incorporates the change in collapsible soils strength parameters when subjected to inundation. It employs the theory of unsaturated soil mechanics: including the soil water characteristic curve (SWCC) and the variation in the soil’s strength parameters (angle of friction, cohesion and modulus of elasticity) with respect to matric suction. The thesis presents empirical formulae that can be used to estimate both the coefficient of at-rest and passive earth pressure of walls retaining collapsible soils, for a given collapse potential, over-consolidation ratio, and degree of saturation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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
Published2020
Admission routes1
Has abstractyes

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