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Record W4385423207 · doi:10.18280/ijsdp.180710

Structural Performance Evaluation of Reinforced Concrete Anaerobic Digester Tank in Sewage Treatment Plant: Investigational and Theoretical Study

2023· article· en· W4385423207 on OpenAlexvenueno aff
MMarwa Foad Manher, Hussam Ali Mohammed, Hussein Abad Gazi Jaaz, Ali Fadhil Naser, Ayad Ali Mohammed

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
FundersZarqa University
KeywordsWaste managementEnvironmental scienceSewageAnaerobic exerciseEngineeringReinforced concreteStructural engineeringBiology

Abstract

fetched live from OpenAlex

The aim of this study is to evaluate the structural performance of digester tanks structure in Al-Jazeera sewage treatment plant within Dhi Qar province in the south of Iraq by adopting the experimental field tests and finite element analysis.Due to the significance of anaerobic digester structure, it is necessary to evaluate structural performance on a regular basis using damage inspection techniques and non-destructive tests, depending on the construction materials used to construct the structure of the digester tanks.The surface of the reinforced concrete walls of the digester tanks had numerous small cracks, and some compressive strength readings were lower than the design value, showing that there was a reduction in the safety factor of the structure, necessitating the application of modified action to enhance the structural performance of the digester tanks structures rather than the project's designer providing more safety factor.To increase the safety factor and structural performance of digester tanks, this study recommends utilizing a strengthening strategy that comprises building an additional reinforced concrete circle ring on the external walls of tanks in the top, middle, and bottom locations.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.281
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueInternational Journal of Sustainable Development and PlanningSame topicMembrane Separation TechnologiesFrench-language works237,207