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Record W4220951014 · doi:10.1061/9780784484029.060

Potential Vertical Rise and Differential Soil Movement in Post-Tensioned Slabs-on-Ground: Why They Are Not Relatable or Interchangeable

2022· article· en· W4220951014 on OpenAlexaff
Dean Read

Bibliographic record

VenueGeo-Congress 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsAdvantage Forensics (Canada)
Fundersnot available
KeywordsExpansiveExpansive claySlabDifferential (mechanical device)Geotechnical engineeringFoundation (evidence)Work (physics)Civil engineeringShallow foundationEngineeringGround movementGeologyStructural engineeringSoil waterMechanical engineeringLawSoil scienceAerospace engineering

Abstract

fetched live from OpenAlex

Using PTI DC10.5-19, geotechnical engineers can provide recommendations and design parameters which do not require extensive site work (such as removal and replacement) of expansive clays that result in cost-effective designs. Extensive site work is often a significant cost and time-consuming operation. The increasing use of the PTI DC10.5 method and post-tensioned reinforced designs demonstrate that post-tensioned slabs are an economical solution to building foundations. PTI DC10.5-19, Standard Requirements for Design and Analysis of Shallow Post-Tensioned Foundations on Expansive and Stable Soils is an IBC-referenced standard for the design of slab-on-ground foundations. Misconceptions exist regarding whether the potential vertical rise (PVR) index often determined in site investigations can be used in place of the value of differential soil movement, (ym) defined in PTI DC10.5-19. This paper will outline the requirements of relevant IBC sections, explain the differences between PVR and ym, discuss why they are not interchangeable or relatable, and review the geotechnical aspects of design of a post-tensioned slab-on-ground foundation using PTI DC10.5.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.196
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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