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Record W4409799983 · doi:10.11159/icsect25.109

Improving The Structural Performance Of Environmentally Friendly Block Walls

2025· article· en· W4409799983 on OpenAlexvenueno aff
Saad Ahmad, Taha Ahmed, Rana Lakys, Ali Radwan

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmentally friendlyBlock (permutation group theory)Computer scienceMathematics

Abstract

fetched live from OpenAlex

This study investigates the structural performance of Compressed Earth Block (CEB) walls compared to conventional Concrete Masonry Unit (CMU) walls, with a focus on the impact of carbon fiber-reinforced polymer (CFRP) strengthening techniques.CEBs are recognized as a sustainable alternative to traditional building materials, offering benefits such as reduced embodied energy and lower CO2 emissions.Two experimental setups were constructed to evaluate the lateral structural performance of CEB walls under both out-of-plane and in-plane loading conditions.The results demonstrated that CMU walls significantly outperformed CEB walls in terms of initial stiffness, maximum lateral load, and ductility.However, the application of CFRP to CEB walls notably increased their performance, nearly doubling the maximum lateral load in the out-of-plane direction and increasing the in-plane load to 89 % of the CMU wall's capacity.Additionally, the ductility of the CEB-CFRP wall was significantly enhanced compared to that of the CMU wall in the in-plane loading direction.The improvement in the performance in the in-plane direction was much better than that in the out-ofplane direction.These findings highlight the potential for CEB construction to serve as a viable alternative to traditional masonry, especially when enhanced with CFRP techniques.Further research is recommended to optimize design and construction practices for CEB walls, maximizing their structural and economic advantages while promoting the use of sustainable building materials.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.002
GPT teacher head0.158
Teacher spread0.156 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicMasonry and Concrete Structural AnalysisFrench-language works237,207