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Record W4392506357 · doi:10.1061/9780784485330.013

Evaluation of Ground Improvement with Dynamic Replacement and Rapid Impact Compaction of an Artificial Island in the UAE—A Case Study

2024· article· en· W4392506357 on OpenAlexaff
Ahmed Khalil, Zahid Khan, Mousa Attom, Omer Khalafalla

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsAecom (Canada)
Fundersnot available
KeywordsDynamic compactionCompactionComputer scienceEngineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

Dynamic replacement (DR) and rapid impact compaction (RIC) are techniques to improve the geotechnical properties of in situ soils. Dynamic compaction has been extensively used to improve the artificial islands constructed with hydraulic fills; however, the efficacy of a combination of DR and RIC has not been reported for hydraulic fills of artificial islands. This paper presents the results of ground improvement from simultaneous use of DR and RIC in improving the granular fill of a 45,000 m2 area of an artificial island near Ras Al-Khaimah in the United Arab Emirates (UAE). The lower granular fill is improved with DR, whereas the second layer is improved with RIC. A series of field tests such as cone penetration test (CPT) are conducted before and after the improvement. The results of the field tests show that the DR as well as RIC caused significant improvement in physical properties of the compacted soils and the desired improvement is achieved within the influence zone of the planned structures at the required depths.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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

Citations11
Published2024
Admission routes1
Has abstractyes

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