MétaCan
Menu
Back to cohort
Record W3111193119 · doi:10.21838/uhpc.2016.99

Pier Repair/Retrofit Using UHPC—Examples of Completed Projects in North America

2016· article· en· W3111193119 on OpenAlexaboutno aff
Gaston Doiron

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
Fundersnot available
KeywordsPierPrecast concreteEngineeringBridge (graph theory)UpgradeCivil engineeringArchitectural engineeringForensic engineeringConstruction engineeringComputer science

Abstract

fetched live from OpenAlex

The infrastructure sector is under tremendous pressure to find reliable and durable solutions to tackle maintenance and upgrade existing structures to meet our ever changing needs. Owners and designers need to select repairs and retrofits solutions that are proven and which will perform as intended for the remaining life of the structure. Ultra-High Performance Concrete (UHPC) sold under the brand name Ductal® by Lafarge North America Inc. (a member of LafargeHolcim) has been used throughout North America for over 15 years. The design community is increasingly familiar with the UHPC closure pour solutions for precast deck panels. This is now leading consultants to push the envelope and explore avenues where the durability of UHPC can be applied to other types of bridge repairs. This paper will provide a brief overview of four North American pier repair/retrofit projects. The CN Rail, Montreal, QC jacketing project; the Mission Bridge, Abbotsford, BC seismic pier retrofit; the Hooper Rd., Town of Union, NY connection of a new precast pier cap to existing columns; and the Hagwilget Bridge, New Hazelton, BC steel bent legs encasements will be reviewed. These “new” projects are now becoming references to guide owners and designers facing similar challenges where viable, durable and maintenance free solutions are required.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.042
GPT teacher head0.235
Teacher spread0.193 · 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 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

Citations23
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicConcrete Corrosion and DurabilityFrench-language works237,207