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Record W2312246738 · doi:10.1061/40552(301)32

Accelerated Reconstruction of I-15 through Salt Lake County, Utah, USA

2001· article· en· W2312246738 on OpenAlexaboutno aff
Kancheepuram N. Gunalan, William G. Turner

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsnot available
Fundersnot available
KeywordsSalt lakeSubgradeSiltGeologyLeveeScheduleCivil engineeringMining engineeringGeotechnical engineeringArchaeologyHydrology (agriculture)EngineeringGeographyStructural basinGeomorphologyManagement

Abstract

fetched live from OpenAlex

Interstate 15 (I-15) is a major north-south route linking Canada, the United States and Mexico. Originally designed and built with a life expectancy of 20 years, I-15 had exceeded its life expectancy and had started to show signs of aging. Therefore, Utah Department of Transportation (UDOT) decided to replace 27 km of I-15 through Salt Lake County at an approximate cost of 1.6 billion dollars to meet current highway and seismic standards and community needs. The total reconstruction included raising embankment heights to meet profile and grade requirements and widening embankments to accommodate additional traffic lanes. The subsurface soils beneath the corridor consist of 500 m or more of clay, silt and sand lakebed deposits, with soft to medium stiff plastic clays, silts and loose to medium dense sands in the upper 25 m. The soft clays have low shear strengths and are highly compressible. These conditions, coupled with a shorter time to reconstruct while maintaining two lanes of traffic through the corridor at all times, created a unique challenge for the design-build team. Based on the preliminary information provided by UDOT, the successful design build team, Wasatch Constructors (joint venture between Kiewit Pacific, Granite Construction and Washington Construction, with Sverdrup/Deleuw as the design consultants) proposed different techniques to address the settlement and stability issues along the 27 km corridor, within the accelerated schedule. An extensive monitoring program was undertaken during the initial phase of the project. Details of the approaches proposed, techniques used and preliminary results of the monitoring efforts along with final design approach will be presented in this paper.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.025
GPT teacher head0.228
Teacher spread0.202 · 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
Published2001
Admission routes1
Has abstractyes

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