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Record W4220985963 · doi:10.21608/erj.2022.223107

Experimental Study on Punching Shear Behavior of Crushed Clay Brick Lightweight Concrete Flat Plate Slabs

2022· article· en· W4220985963 on OpenAlexaboutno aff
Mohamed Hossiny, Mohamed Abd Elrahman, Salah El-Din E. El-Metwally

Bibliographic record

VenueEngineering Research Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsPunchingGeotechnical engineeringMaterials scienceBrickShear (geology)Crushed stoneShear strength (soil)Composite materialGeology

Abstract

fetched live from OpenAlex

This paper presents an experimental investigation on the behavior of crushed clay brick (CCB) lightweight concrete (LWC) flat plate slabs under punching load. The CCB resulting from either the building process or the remnants of brick factory production lines constitutes one of the most notable wastes in the world, which motivated many researchers exploring its usage as an alternative to natural aggregates. Six LWC slabs were constructed from CCB as coarse and fine aggregates in addition to crushed brick powder (CBP). The produced concrete had a compressive strength of 25, 28, and 32 MPa and a dry density of less than 1800 kg/m3 . The tested slabs were divided into three groups (A, B, and C) according to the compressive strength. Each group had included two different tension reinforcement ratios of 0.428 and 0.616%. Based on the test results, the effect of the lightweight aggregates (LWA) was discussed and compared to codes' prediction of punching capacity. These codes include the ACI-318-19, EC-2, the Canadian code CSA-2004, ECP-203-2017, and the JSCE-2007. From the test results, it was found that the surface of punching shear failure of the tested slabs extended a distance ranged from 2.3 to 3.3 times the slab thickness measured from the column face, with the shear plane inclined at 20.3° to 27.4° to the plane of the slab. In addition, the punching shear strength can be fairly predicted by the selected international codes.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.032
GPT teacher head0.305
Teacher spread0.273 · 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.

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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