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Record W2127699856 · doi:10.1061/9780784412121.287

Response of Strip Foundation on Spatially Random Elastic Foundation under Variable Column Loads

2012· article· en· W2127699856 on OpenAlexaff
Sumanta Haldar, Dipanjan Basu

Bibliographic record

VenueGeoCongress 2012 · 2012
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFoundation (evidence)Bending momentMonte Carlo methodStructural engineeringRandom variableGeotechnical engineeringBeam (structure)Shear forceSpatial variabilityMathematicsEngineeringStatistics

Abstract

fetched live from OpenAlex

The spatial variability of soil properties has a considerable impact on foundation response. The effect of random spatial variation of soil properties on the response of a strip foundation under variable column loads is presented in this paper. A single span strip footing on spatially random elastic soil is modeled as an Euler- Bernoulli beam resting on a two-parameter foundation. The two-parameter foundation model used in this analysis incorporates both the normal and shear resistances of soil and their spatial variability, and provides a better representation of the beam-soil interaction than the conventional Winkler model. Variable point loads and moments are applied at the two ends of the footing and the statistics of footing responses such as settlement, bending moment and shear force are obtained by Monte Carlo simulations.

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: none
Teacher disagreement score0.753
Threshold uncertainty score0.714

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)0.0010.000

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 head0.010
GPT teacher head0.220
Teacher spread0.211 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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