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Record W2589567917

Analytical and Numerical Analysis of the Shear Tension Critical Prestressed Beams

2016· article· en· W2589567917 on OpenAlexaboutno aff
M.J. Kraczla

Bibliographic record

VenueResearch Repository (Delft University of Technology) · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsStructural engineeringShear (geology)EurocodeEngineeringTension (geology)Prestressed concreteComputer scienceCompression (physics)GeologyMaterials science
DOInot available

Abstract

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Numerous structures constructed in 60’s and 70’s are now reaching their design service life and require reassessment to assure safety of users, reliability and economical exploitation. As a consequence, an adequate structural assessment of existing bridges has recently become a major subject of scientific work commissioned by the authorities in charge. The bridges designed according to then biding codes are often deemed to be structurally deficient when re-evaluated with more restricting current design provisions. At the same time, it is often in conflict with the reality as many of the structures still continue in operation displaying no perceptible deterioration of state nor fatigue. The challenge therefore is to develop more refined models to evaluate the structural behaviour and possible reserves of capacity accounting for the actual condition of the bridge under investigation. One of the potential deficiencies is related to the shear tension failure in thin-webbed post- tensioned T-girders which is the item of the this dissertation. The study comprises of two major parts. In the first part, the thesis investigates an ability of the shear provisions for reinforced concrete structures as given in the following codes: Canadian Standard Association (CSA), the fib Model Concrete 2010 (MC2010), the Eurocode 2 (EC2) and the RBK 1.1 (Richtlijnen Beoordeling Kunstwerken) to adequately address shear tension critical members. The predictions from codes are calculated for the three selected benchmark continuous I- beams tested in destructive laboratory tests as a part of the research on the influence of axial load and prestress on the shear strength of web-shear critical reinforced concrete elements at the University of Toronto. Out of three selected beams of interest subjected to approximately the same prestressing force, two contained a varying amount of reinforcement equal to twice and four times the minimum amount shear reinforcement as specified by the CSA code and one containing no stirrups in the test region. From the comparison of codes it was concluded that shear previsions relating shear resistance to the strain state of the considered section (CSA and MC2010) provide good predictions for members furnished with stirrups but inaccurately evaluate shear resistance for members without shear reinforcement being overly conservative. For this case, the empirical formulation according to the EC2 with mean characteristics applied resulted in the best estimate. In the second part of the study, an attempt to reproduce the tests of the benchmark beams numerically was undertaken. The simulation according to the highest level of approximation as classified in the MC2010 was performed through a series of nonlinear finite element analyses. Sensitivity analyses with the diverse variables such as: crack models, shear retention functions, iterative methods and convergence norms were studied to determine their influence on the ultimate shear strength and competence to recreate the observed in tests performance; i.e. the failure mechanism and crack pattern. From the conducted analyses, it was concluded that satisfactory crack pattern as well as magnitudes of shear resistance can be obtained for all treated specimens. The thesis was completed with considerations regarding the most appropriately performing constitutive model to simulate shear tension failure mechanism for the cases of benchmark tests. For the considered cases of shear tension critical beams, models with the rotating crack, energy convergence norm in combination with force or displacement convergence norm and the modified Newton-Raphson iterative method are recommended.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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 designSimulation or modeling
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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