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Record W7125429235 · doi:10.5281/zenodo.18335031

Planing, Analysis and Design of G+1 Residential Green Building In Azhikode

2023· article· W7125429235 on OpenAlexaff
Devu Richin Thomas, Reshma J Rajan, Abhirami M R, Sathika Santhosh Kumar, Abey Bose

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Language
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsStructural loadMoment (physics)Bending momentSustainabilityGreen buildingArchitectureSoftwareCurrent (fluid)

Abstract

fetched live from OpenAlex

In this current scenario a living and sustainability in respect to building and environment has been taken place around us. It is very clear that to promote green architecture and sustainability, we need to go through various guidelines ,specification, method and technology. In this paper the analysis and design of a multi storied building with Staad.pro is carried out. Planing is done by using Auto and then the structure was analysed using Staad . pro. The dead load , live load with load combination are calculated and applied to the structure. Overall concept and procedures of designing the essential components of a multi storied building are described. Staad pro software also gives a detailed value of shear force and bending moment of each elements of the structure.

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), Insufficient payload (model declined to judge)
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 score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.237
Teacher spread0.210 · 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 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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