MétaCan
Menu
Back to cohort
Record W4396935655 · doi:10.1016/j.grets.2024.100103

Building material selection framework for tropical climatic conditions: Eco-design-based approach

2024· article· en· W4396935655 on OpenAlex
Sharon Vanmathy Gurupatham, C Jayasinghe, Piyaruwan Perera, Raju Lepakshi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGreen Technologies and Sustainability · 2024
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsSelection (genetic algorithm)Tropical climateTropicsArchitectural engineeringEnvironmental scienceComputer scienceEcologyEngineeringArtificial intelligenceBiology

Abstract

fetched live from OpenAlex

All over the world, sustainability has been given immense attention, thus novel state-of-the-art materials and building systems are emerging as alternatives. With those different alternatives, comparison and the selection of a better-performing material or a building system using diverse perspectives becomes important. Literature shows its complexity in adopting social and cultural dimensions in decision-making that adversely impacted on most desirable material selections in tropical underdeveloped countries as well as indigenous communities. This study proposed an eco-design-based material selection approach that considers the individual and holistic perspective of diverse eco-design indicators such as economic, ecological, social, and cultural. Several sub-themes are identified under each theme and are verified through expert surveys. The identified sub-themes are verified and compared Pairwise through expert surveys and using the Analytical Hierarchy Process leads to proposing weights for each theme and sub-theme and developing an eco-design-based material selection framework. Accordingly, saving energy (10.7%), reducing the overexploitation of natural resources (9.1%), reducing energy emissions (7.9%), and reducing construction (7.3%), as well as operational cost (7.6%), are the parameters that create a greater impact on the selection of sustainable material with the aid of eco-design. Overall, the ecological theme creates the highest impact of around 46% and the cultural theme contributes to a lower percentage of around 5% while the economic and social themes impact considerably 30% and 19% respectively. Furthermore, the developed framework is tested in a case study by comparing an emerging walling material, Cement Stabilized Earth Blocks with conventional materials such as Burnt Clay Bricks and Cement Sand Blocks . Technique for Order Preference by Similarities to Ideal Solutionwas carried out to compare and rank the respective walling materials under different scenarios. Accordingly, Cement Stabilized Earth Blocks is concluded to be the best alternative when analyzed in the eco-design concept. The proposed framework could be highly beneficial for industry practitioners in tropical underdeveloped countries and indigenous communities in choosing community-preferred, affordable, and environmentally-friendly construction 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.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.847

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 science0.0000.000
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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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