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Record W2795469214 · doi:10.11159/icgre18.151

Behaviour of Strip Footing in the Vicinity of Non-Yielding Wall

2018· article· en· W2795469214 on OpenAlexaffvenue
Majid Touqan, Magdi El-Emam

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsWestern University
FundersAmerican University of Sharjah
KeywordsMaterials scienceStructural engineeringEngineering

Abstract

fetched live from OpenAlex

The paper presents two-1/3 scale nonyielding wall-strip footing models that were constructed and tested at the sand box test facility at the American University of Sharjah (AUS). The objective of the testing program is to quantify the responses of both strip footing and nonyielding wall constructed closer to each other. To achieve this objective, different design construction parameters have been considered including: (1) the strip footing width (B), (2) footing distance from non-yielding wall back (a), and, (3) strip footing embedment depth below the backfill surface (Df). Test results indicated that the location of the strip footing relative to the wall is a major factor in dictating the load bearing capacity of the strip footing, and the maximum lateral deflection of the non-yielding wall. Meanwhile, the vertically loaded strip footing imposed substantial vertical and horizontal forces at the wall top and bottom boundaries. The strip footing load bearing capacity increased as the distance from the wall increased, the footing width decreased, and the embedment depth increased. Data collected from the responses of scaled-physical model test were used to recognize deficiencies in current design approaches for similar soil structure interaction problems.

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 score0.297
Threshold uncertainty score0.596

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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