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Record W3011132006 · doi:10.14455/isec.res.2017.18

HEAVYLIFTING OPERATIONS FOR THE ASSEMBLY OF THE ARCH OF BRIDGE REPLACEMENT

2017· article· en· W3011132006 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of International Structural Engineering and Construction · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArchBridge (graph theory)LimitingModular designArch bridgeArch damEngineeringPosition (finance)Structural engineeringCivil engineeringComputer scienceMechanical engineeringOperating system

Abstract

fetched live from OpenAlex

One of the main requirements for the Walterdale Bridge Replacement in Edmonton was to minimize the impact on the river during the construction. This was a big challenge, as the use of ordinary construction methods such as falseworks and cranes was almost impossible. Furthermore, the river was not navigable. Consequently, all water equipment used, such us barges, had to be modularized, land transported and assembled directly on site, limiting the capacity. Then, it was decided to split the construction of the arch in different stages, performing several special heavylifting activities. Firstly, a partial arch (the central part), weighing 1,000 metric ton was manufactured on a riverbank. After that, it was skidded and loaded-out onto two modular barges, which moved the segment to the area between the abutments. By means of two towers specifically assembled, which included four strand jacks, the arch was then partially lifted and connected to additional sections of the arch, creating a new 1,800 T and 146-m long arch. Following this, the new arch was also lifted to its final position, in a similar way. This paper describes all the special heavylifting operations and the equipment used to assemble the arch of the bridge, facing with severe weather conditions, such as temperatures down to-20ºC and a river partially frozen.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.285

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 head0.010
GPT teacher head0.240
Teacher spread0.229 · 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