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Record W7001079431

Implementation of Agriculture Wastes in Different Construction Applications

2020· dissertation· en· W7001079431 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2020
Typedissertation
Languageen
FieldEngineering
TopicMaterials Engineering and Processing
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureAgricultural wastePopulationPollutionCleaner productionEnvironmental pollutionMunicipal solid wasteReuseDomestic waste
DOInot available

Abstract

fetched live from OpenAlex

Due to the growing population and increasing demand for more construction, much attention has been paid to environmental issues and the devastating effects of overgrowth in nature. Many challenges, including the 2030 challenge, have united developed countries to come together for a better and cleaner future. Canada is one of the allies in this challenge. In recent years, many alternatives to the main components of concrete have been introduced, which is known as one of the most widely used building materials. The use of waste in concrete as a substitute for main natural components (such as aggregates and sand) is one of the most popular methods to reduce environmental pollution by construction during these years. The use of tires, electronic components and agricultural waste are among the uses of waste as an alternative to concrete. Due to its ecofriendly natural, low cost and easy access, agricultural waste has received more attention than others. Several agricultural wastes such as hemp, coconut shells, and others were utilized successfully in producing agro-concrete. However, the limited availability of in-service data and stability of agro-concrete in the agricultural environment, which is very aggressive, is halting its acceptance in the construction industry. Therefore, this dissertation focused on examining the potential of using agro-waste in different construction applications. Effects of various factors including shape, replacement rate and physical properties of used agriculture wastes, type of binding materials, and exposure conditions on mechanical performance were evaluated. Also, a special type of concrete, known as Controlled low strength materials (CLSM), was tested as a potential hosting for high amounts of agro-wastes. Two types of CLSM were evaluated: a cement-based CLSM (i.e. with ordinary Portland cement) and zero-cement CLSM (i.e. with alkali-activated binder). Results showed the high potential of implementing agro-wastes in various construction applications, including agro-concrete, controlled low strength concrete for filling applications and zero-emission materials (i.e. zero cement).Moreover, alkali-activated CLSM showed a greater potential to incorporate a high amount of agro-wastes than that of cement-based CLSM. The research results represent a crucial point in getting these materials as acceptable as construction materials. Also, it will allow the agriculture industry to effectively recycle/reuse the agro-waste, along with converting it to a valuable product. This will have a measurable impact on the Canadian specifications for concrete for farm and livestock buildings.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.026
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.012
GPT teacher head0.252
Teacher spread0.241 · 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