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Simulating Hydraulic and Mechanical Responses of Unsaturated Expansive Soil Slope to Rainfall: Case Study

2018· article· en· W2799886577 on OpenAlexafffund
Shunchao Qi, Sai K. Vanapalli

Bibliographic record

VenueInternational Journal of Geomechanics · 2018
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship Council
KeywordsGeotechnical engineeringExpansive claySoil waterVadose zoneSaturation (graph theory)Degree of saturationGeologyNonlinear systemInfiltration (HVAC)Elastic modulusConstitutive equationFinite element methodMaterials scienceSoil scienceMathematicsGroundwaterEngineeringStructural engineering

Abstract

fetched live from OpenAlex

This paper presents simulation results of the performance of an unsaturated expansive soil slope during artificial rainfall events from a field investigation. The field study, conducted on an intake canal of a major water transfer project in Zaoyang, Hubei, China, indicated that the water percolation under rainfall was limited to a near-surface vadose zone, in which substantial changes of the mechanical stress regime and deformation were observed due to the swelling of wetted soils. In this paper, the hydraulic responses of this slope are simulated with a finite-element model, followed by modeling of its mechanical response on wetting using an expanded infinite slope formulation. The soils’ mechanical behavior is described using a Mohr-Coulomb elastoplastic model extended for unsaturated soils. A new elastic moduli equation, which can consider the influence of degree of saturation on nonlinear variations of elastic moduli (E and H) with suction, is proposed to describe the unsaturated soils’ nonlinear deformation behavior in the elastic stage. Incorporating this new model is advantageous for smoothly modeling the transition between saturated and unsaturated states. The simulation results using the infinite slope formulation that incorporates these constitutive relationships are in reasonable agreement with the field observations, highlighting the capability of the expanded infinite slope formulation to interpret the complex response of this expansive soil slope to rainfall infiltration.

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 categoriesnone
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 score0.547
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations38
Published2018
Admission routes2
Has abstractyes

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