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Record W1969487376 · doi:10.5539/mas.v4n7p119

Comparison Study On Oil Palm Trunk And Oil Palm Fruit Bunch Fibre Reinforced Laterite Bricks

2010· article· en· W1969487376 on OpenAlexvenueno aff
Noorsaidi Mahat, Zaiton Binti Yaacob, Nadia Fatihah Mastan, Ahmad Faiz Abd Rashid, Zainab Zainordin, Mohamad Rohaidzat Mohamed Rashid, Husrul Nizam Husin, Natasha Khalil, Mohamat Najib Mat Noor, Wan Faizal Iskandar Wan Abdullah, Nurul Asra Abd Rahman, Suryani Ahmad

Bibliographic record

VenueModern Applied Science · 2010
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsnot available
Fundersnot available
KeywordsCompressive strengthAbsorption of waterPalm oilLateriteMaterials scienceComposite materialBrickUniversal testing machineEnvironmental scienceUltimate tensile strengthMetallurgyNickel

Abstract

fetched live from OpenAlex

The main aim of this study was to compare the physical properties and mechanical properties of Oil Palm Trunk (OPT) fibre and Oil Palm Fruit Bunches (OPFB) fibre reinforced laterite bricks. For comparison purposes, the properties such as dimension, density, water absorption and the compressive strength of both types of bricks were determined. The effects of the incorporation of various amounts of fibres on the above properties were analysed. The tests were carried out according to BS 3821: 1985 for clay bricks.The samples were pressed at the factory Majpadu Bricks Sdn. Bhd., Malaysia and tested at the Material Testing Laboratory, Universiti Teknologi MARA, Shah Alam, Malaysia.The findings of this research were, firstly, the dimension of bricks content with OPFB fibres were less accurate than bricks with OPT fibres. Secondly, the density of bricks with OPFB fibres was higher than the density of bricks with OPT fibres. Thirdly, in compressive strength of the bricks with OPFB fibres was higher than bricks with OPT fibres, with the maximum fibre content identified as 3 percent fibres. Finally, the water absorption of bricks with OPFB fibres was lower than the water absorption of bricks with OPT fibres. It can be concluded that the bricks with OPFB fibres had better physical and mechanical properties than bricks with OPT fibres.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.278
Teacher spread0.260 · 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 designBench or experimental
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

Citations11
Published2010
Admission routes1
Has abstractyes

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