MétaCan
Menu
Back to cohort
Record W842295159

Kichi Sipi Bridge to Cross Lake: Innovations in Deep Foundation Design and Construction

2005· article· en· W842295159 on OpenAlexaboutno aff
Eric B Loewen, James S Betke, Fred Kemp, R Eric, R Eden

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsnot available
Fundersnot available
KeywordsPierFoundation (evidence)PileBedrockBridge (graph theory)Civil engineeringEngineeringDeckGirderGeologyGeotechnical engineeringArchaeologyGeographyStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

This paper describes how the Kichi Sipi Bridge, as part of Manitoba’s Northern Development Strategy, represents an investment in both transportation infrastructure in the region and in the well-being of the Pimicikamak Cree Nation and Cross Lake communities. The Kichi Sipi Bridge is a 260 meter long, four-span structure with an innovative concrete foundation system that supports steel plate girders and a composite concrete deck. The Kichi Sipi, which means “Great River” in Cree, replaces temporary, seasonal ferry service and a winter ice road across the Nelson River on PR 374 to provide year-round access to the remote northern Manitoba community. The project provided many challenges, including the remote location, high cost of construction, and degree of difficulty of the site. Water depths reach up to 20 meters, the bedrock is a very hard basalt/granite with sudden elevation changes, and the ice is up to 1 meter thick with a high crushing strength. These factors result in a tremendous load on the tall piers, and a conventionally constructed foundation system would have added enormous cost to the project. A unique foundation system was developed to minimize the effect of the ice loads. The foundation system also reduced risk during construction and the initial capital cost of the project. Each pier consists of a group of six relatively small diameter battered rock-socketed concrete caissons that extend into the bedrock, and are tied together with a submerged pile cap. The pile cap supports a narrow, sloped pier shaft, which results in minimal ice contact area with the piers and greatly reduced loads. The system provides stable foundations, reduced time and costs for drilling smaller caissons, and reduced concrete quantities and costs. In addition, the system provided redundancy and enhanced constructability. The foundation system required innovative construction techniques that were investigated during the design phase to ensure constructability. This included the use of a steel-tub form, which acted as both the caisson template and the submerged cofferdam. Cost and schedule dictated that coring the caissons for quality assurance was impractical. As a result Crosshole Sonic Logging (CSL), a non-destructive testing method, was specified. During construction this method identified a major defect near the bottom of one caisson. A repair method was developed to adequately restore the caisson capacity and to allow the repair to proceed while construction of the substructure and placement of the girders continued above. Significant knowledge was gained on the Kichi Sipi Bridge project through the success of several design and construction innovations, as well as through the remediation of the defective caisson.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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 designNot applicable
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
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicSmart Materials for ConstructionFrench-language works237,207