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Record W2892961408

The Fatigue Behaviour of Welded and Bolted Shear Connectors in Composite Highway Bridges

2018· dissertation· en· W2892961408 on OpenAlexaboutno aff
Matthew Sjaarda

Bibliographic record

VenueUWSpace (University of Waterloo) · 2018
Typedissertation
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWeldingStructural engineeringBolted jointComposite numberShear (geology)Materials scienceEngineeringForensic engineeringComposite materialFinite element method
DOInot available

Abstract

fetched live from OpenAlex

At present, many Canadian bridges are overdue for rehabilitation or replacement. In the case of steel-concrete composite bridges, the shear connection between the concrete deck and the steel girders is a vital element of the bridge system, and has significant impacts on construction time, cost, structural integrity, and durability. The general performance of the shear connectors in these bridges is becoming an increasingly important issue, as existing bridges are used past their intended design lives, and new bridges are being designed with accelerated construction and longer service lives in mind.
\nWelded shear studs are the standard method of shear connection in composite bridge construction, either cast-in-place or concentrated in grouted “shear pockets” in the case of steel-precast applications. The primary disadvantage of using welded shear studs in structures subjected to repeated loading is that they are believed to perform poorly from a fatigue perspective. As a result, design standards in North America require most bridges to have more than double the number of studs needed for ultimate strength purposes. This leads to construction challenges including arduous deck reinforcement placing, and it reduces the economy gained through steel-precast construction by requiring excessive numbers of shear pockets. It is possible that an enhanced understanding of the performance of welded shear studs in composite beams, including system effects, may allow for relaxed design provisions. High strength bolt shear connectors may be a viable alternative to shear studs in some cases, providing greater fatigue resistance due to the absence of welds, and having a higher material strength than conventional welded studs.
\nThe work presented herein is aimed at increasing the state-of-understanding of the fatigue behaviour and reliability of welded shear studs in both cast-in-place and precast concrete composite bridge applications, while also presenting the benefits and drawbacks of two alternative high strength bolt shear connection concepts. A laboratory research program carried out at the University of Waterloo featured the testing of eighteen large-scale beam specimens over a period of two years. In addition to the laboratory work completed by the research team, the author used finite element and reliability analysis methods to augment the test results and extend their applicability to full-scale medium span highway bridges.
\nOver sixty stud fatigue failures and four bolt fatigue failures were observed over the course of this study, greatly adding to a dearth of existing test results, and allowing the construction of a statistically meaningful fatigue design curve of the stud detail from beam tests for the first time. System effects of multiple stud failures were studied in a finite element model of a typical highway bridge girder and revealed that the current design rules are overly conservative for all bridge classes in the Canadian Highway Bridge Design Code, and for all bridge configurations except for short spans. The results support the proposed new fatigue category dedicated to welded shear studs, recognizing the unique redundant and uninspectable nature of the detail, and suggest a fatigue endurance limit of 36 MPa (one and a half times the current limit). It is proposed that the embedded high strength bolt detail be viewed as a viable alternative to studs, given greatly increased fatigue performance and exceptional ease of deconstruction. The benefits of such a connection would be particularly useful in combination with precast deck panels.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.948

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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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