Estudio numérico del fallo por cortante en vigas de hormigón reforzado con fibras. Aplicación práctica en elementos prefabricados en el interior de una nave comercial situada en Igualada (Barcelona)
Bibliographic record
Abstract
[EN] Recently, experimental campaigns are being carried out in the field of fibre reinforced concrete, in the Instituto de Ciencia y Tecnología del Hormigón (ICITECH) of Universitat Politècnica de València (UPV), as well as in other research centers at European level, in order to study the shear behavior of fiber reinforced concrete elements, in this particular case, of beams. The objective of this work is modeling and analyze a serie of beams of classic tests in reinforced concrete beams, made by Bresler y Scordelis in the sixties and repeated in 2004 by Vecchio y Shim in the Universidad de Toronto, in order to be able to validate the model with the results of the experimentation and apply it in a practical case to estimate the influence of the fibers on similar elements.. Modeling includes a set of sixteen beams (eight with steel fibers and eight with synthetic polypropylene macro-fibers). Half of them do not include transverse reinforcement, so their behavior against shear stress is determinant for the obtained results. The actual design of these beams in bending is currently resolved with conventional material models, applying a tensile strength and a model of material extracted from the current regulations, however, this is not solved in the case of elements whose failure mode is due to shear stress, due to a lack of knowledge of parameters that determine breakage and their behavior against actions with this type of material. The main challenge of this is to establish a constitutive behavior model of fiber reinforced concrete that provides a coherent response in elements dominated by tangential stresses. The numerical results obtained show reasonable results in estimation of critical loads and the load-deflection behavior. The validation is carried out with the experiments carried out. The previously described methods have been applied to prefabricated beam elements in lofts of a commercial center located in Igualada (Barcelona) for moderate lights and large loads, with considerable amounts of transversal reinforcement. From these verifications it is concluded that a saving of 55kg per beam can be achieved and the economic cost can be reduced even up to 15 %. Given this results achieved, it is recommended to extend this methodology in other types of element, which will require new tests and open the door to new lines of research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".