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Record W4406638915 · doi:10.1139/cgj-2024-0199

Influence of twin stacked tunnels on the performance of laterally loaded pile group

2025· article· en· W4406638915 on OpenAlexvenueno aff
Mukhtiar Ali Soomro

Bibliographic record

VenueCanadian Geotechnical Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPileGeotechnical engineeringGeologyGroup (periodic table)Materials scienceStructural engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

This research utilized three-dimensional centrifuge model experiments and back-analyses with a hypoplastic model to assess the performance of a laterally loaded 2 × 2 pile group subjected to twin stacked tunnelling at different depths. The first tunnel was excavated near the pile shaft ( C/ D = 1.5), and the second tunnel was placed either near the pile toe, below the pile group, or directly underneath it in tests CD1.5_2.7, CD1.5_3.7B, and CD1.5_3.7U, respectively. A parametric study was also conducted to examine the effects of various factors on the pile group responses, including the tunnelling sequence, lateral load direction, tunnel volume loss, and the tunnel depth and location. The results revealed that the most significant lateral movement occurred in test CD1.5_3.7U, while the highest tilting (0.98%) was observed in test CD1.5_3.7B. The first tunnel induced “dragload” due to negative skin friction. Excavating the deeper tunnel before the shallower one significantly reduced cumulative lateral pile cap movements and tilting. The direction of lateral load significantly affected lateral movement and bending moment distribution along the pile. Additionally, the depth and location of the tunnel relative to the pile group were crucial in determining the induced lateral displacement and bending moment at the pile head.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.180
Teacher spread0.176 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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