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Record W2550443763

Geometrical effect on the behaviour of embankment on soft ground

2015· dissertation· en· W2550443763 on OpenAlexaboutno aff
Ali Sobhanmanesh

Bibliographic record

VenueScientific Repository (Petra Christian University) · 2015
Typedissertation
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsCentrifugeLeveeGeotechnical engineeringFinite element methodGeosyntheticsStructural engineeringEngineeringStiffnessSettlement (finance)GeologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Many embankments constructed on soft ground are susceptible to failure and large settlements due to its low strength soil condition. Geosynthetics are used effectively as a reinforced material to increase the shear strength, and stiffness of the reinforced embankment and consequently, to reduce the total and differential settlements. In the first part of the study, four different cases of embankments with and without reinforcement, constructed on soft and stiff grounds were studied through small-scale physical modeling using centrifuge test and numerical modeling using finite element simulation. Comparison between the results using both finite element models and centrifuge tests was carried out to validate and identifies the reliability of the finite element method. In centrifuge test, a model scale with various sizes was simulated to a constant full-scale dimension using different acceleration fields. The results show the different deformation behavior for these different embankment cases and indicate the significant effect of the geosynthetics reinforcement on increasing the stability of embankment. The comparison analysis presents a good agreement between results of these two methods. It validated the finite element technique in analysis of different embankment cases. The second part of the study focus on the geometrical effects on the behavior and failure mechanism of embankments. Two full-scale case history embankments in Malaysia and Canada, the Muar trial embankment and Vernon highway embankment were verified. Three dimensional effects on Muar trial embankment were evaluated by comparing the results of two and three-dimensional analysis, in terms of predicted displacements, lateral movements, excess pore pressure, factor of safety, and failure height of the embankment fill. Moreover, this study attempt to evaluate the boundary limits for the applicability of two and three-dimensional analyses by determining the suitable geometry configuration of embankment in utilizing the geotechnical analysis. The ratio of the calculated failure height of three to two dimensional Finite Element analyses (Hf,3D/Hf,2D) has been determine for embankment cases with different base aspect ratio of the length to width (L/B). Two shape-factor equations related to the bearing capacity of spread footings and safety factor of embankments also utilized to account for the geometrical behavior of the embankment regards to its geometrical configuration. Results of three-dimensional analyses have better agreement with the actual field measurements. It is concluded that neglecting the three dimensional effects could mislead the design of the embankment in some condition. In conclusion, it is recommended that for “long embankment” with the length to width ratio more than two (L/B > 2), it may appropriate to use two-dimensional analysis as the three-dimensional safety factor converges to two dimensional safety factor. For “short embankment” with the length to width ratio less than two (L/B < 2), three dimensional effects on the embankment behavior becomes considerably great and should be considered as important factor in design and analysis of embankments.

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 score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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
Published2015
Admission routes1
Has abstractyes

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