Structure Behavior of Thin Sections Casting with Self-Compacting Concrete under Flexure
Bibliographic record
Abstract
Self-compacting concrete (SCC) was first developed in Japan about 30 years ago in order to reach durable concrete structure. The concept of SCC was proposed to reduce labors in the placement of concrete by elimination or reducing the need for vibration to achieve consolidation and suitability for all scales needed. This research aimed to investigate the feasibility of using self-compacting concrete in civil engineering applications as a producing a precast unit used in tunnel. An experimental program was carried out and a finite element model with ANSYS15 was adopted. This paper presented applications of self-compacted concrete for casting thin structural hollow members. These members can be used as precast units in construction of tunnel to decrease the problems in high way roads due to the difficulty of using crossing bridges especially for children and old people which are very useful for developing countries with great economic advantages. A total of fourteen hollow beams were casted and tested. The main variables taken into consideration were the type of reinforcement (reinforced steel bar and steel wire meshes), the types of steel wire meshes (expanded and welded steel wire mesh), number of layers of steel meshes, cross section thickness of concrete, concrete cover thickness and the shape of cross section (square or circular). Special attention to initial cracking load, ultimate load, deflection, cracking pattern, energy absorption and ductility index were investigated. Results showed using welded wire mesh improves the behavior of hollow beams compared with expanded welded wire mesh as the energy absorption and ductility index was increased by 25 % and 10 %, respectively for cross sections reinforced with welded mesh compared with cross sections reinforced with Expanded mesh. Keywords : self-compacting concrete, wire mesh, precast tunnel, thin members, ductility index, energy absorption.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".