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LATERAL LOAD ON SINGLE PILES: A COMPARATIVE STUDY BETWEEN EGYPTIAN CODE, CANADIAN CODE, AASHTO, INDIAN STANDARDS AND THEORETICAL APPROACH

2024· article· en· W4395692657 on OpenAlexaboutno aff
Remon Isaac, Ahmed M. Hassan

Bibliographic record

VenueJournal of Advanced Engineering Trends · 2024
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPileStructural engineeringStructural loadEngineeringUltimate loadDisplacement (psychology)Building codeNonlinear systemGeotechnical engineeringFinite element method

Abstract

fetched live from OpenAlex

The lateral loading pile problem is frequently solved by assuming that the pile is an elastic element and that the soil may be represented by a sequence of nonlinear horizontal springs. The P-y curves illustrate the soil springs' nonlinear behaviour. There are many ways, in literature and adopted in codes to calculate the displacement, ultimate, and allowable lateral load resulting from applying horizontal forces on a vertical pile. The aim of this study is to determine which codes and equations give the most accurate result in ultimate and allowable lateral load for available measurements and case studies. A study was conducted on 40 field and laboratory experiments under different soil conditions and different locations. The Egyptian, Canadian, British standard, AASHTO, DIN 4014 and Indian standards, as well as the Jean-Louis-Briaud method were used to determine the ultimate, and allowable lateral load values and compare them with field and laboratory measurements. The Canadian, British standard, and AASHTO, use broom’s method to calculate ultimate, and allowable lateral load [1] [2] [3] .German code uses an approximate method to find the maximum lateral displacement of 2cm or equal to 0.03D [4] .

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
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
Bibliometrics0.0010.000
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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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