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Record W4311937469 · doi:10.1139/cgj-2021-0551

Analytical prediction of leakage-induced ground and tunnel response subject to tidal loading

2022· article· en· W4311937469 on OpenAlexvenueno aff
Chengwei Zhu, Wei Wu, Hongwei Ying, Xiaonan Gong, Xiao Wang

Bibliographic record

VenueCanadian Geotechnical Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsGeotechnical engineeringGroundwaterDisplacement (psychology)UnderwaterGeologyLeakage (economics)Drainage

Abstract

fetched live from OpenAlex

In this study, analytical solutions are developed to assess the hydraulic and structure responses of underwater tunnels by considering the tidal loading in conjunction with water ingress. Two scenarios are considered, that is, the surface water fluctuation (SWF) and groundwater variation (GWV). A single-step scheme is put forward to obtain the exact horizontal displacement developed at the springline with high efficiency. The proposed analytical method is verified by comparing the result from numerical simulations. A detailed parameter analysis is presented to investigate the effect of soil properties on the ground and tunnel behaviors as well as the discrepancies between these two hydraulic loadings. This study reveals that the underwater tunnel tends to act as drainage in the SWF condition whereas blockage for GWV. Much more intensive hydraulic and structure responses are observed under SWF than GWV, but both cases lead to slight tunnel deformations.

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 score0.240
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.207
Teacher spread0.194 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

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