MétaCan
Menu
Back to cohort
Record W7131065863 · doi:10.37308/dfi50.260906

Reuse of Existing Piles Study – Hwy 417

2025· article· W7131065863 on OpenAlexaboutno aff
MTO, Tony Sangiuliano

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
Fundersnot available
KeywordsReusePileChristian ministryBridge (graph theory)CorrosionFoundation (evidence)PierService life

Abstract

fetched live from OpenAlex

The Ministry of Transportation Ontario (MTO) continues to consider the reuse of existing piles to achieve traffic mobility, economic, sustainability and environmental advantages. Five structures at four sites along the Hwy 417 located in Ottawa, Ontario have been selected for bridge replacement utilizing rapid bridge replacement (RBR) techniques. The plan is to rehabilitate the abutments and to salvage the existing deep foundation elements (where present). The bridges were constructed between 1960 and 1968 and have a similar 2-span configuration, supported on perched abutments and a central pier. The reinforced concrete abutments are founded on steel H piles at all sites. The piers are founded on spread footing shallow foundations at all sites with exception of the Richmond Road structures, where the NBL and SBL structures are supported on steel H piles. Corrosivity testing (including determination of soil resistivity, chloride content, and pH) was performed and reporting completed. A supplemental in-situ investigation was conducted to expose the piles at two sites (Richmond Rd and Woodroffe Ave). Visual and ultrasonic testing of the exposed steel piles were carried out to determine the nominal thickness and damage to the piles over time due to corrosion. In addition to the testing of the piles, additional soil samples were retrieved for chemical analysis to determine the corrosivity of the soil at the site. This paper presents the results of the corrosion assessment and pile thickness loss. The paper also assesses the corrosion rate and predicted service life. The study is demonstrative of the MTO’s commitment to assess new technologies and applications that support Ministry initiatives, decarbonization, and operational needs and specifically to encourage the reuse of existing foundations.

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)0.000
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 score0.327
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.315
Teacher spread0.266 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicConcrete Corrosion and DurabilityFrench-language works237,207