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Record W4234661091 · doi:10.35940/ijitee.b7910.129219

Structural Response of Tall Buildings under Dynamic Wind Loading (Various Codal Provisions)

2019· article· en· W4234661091 on OpenAlexaboutno aff
Shivam Shridhar, Savita Maru

Bibliographic record

VenueInternational Journal of Innovative Technology and Exploring Engineering · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStructural engineeringHullEngineeringStructural dynamicsDisplacement (psychology)Marine engineeringFinite element method

Abstract

fetched live from OpenAlex

Rapid urbanization leads to the development of tall structures due to less availability of land and higher growth in the population. High rise structures are more vulnerable to wind forces and at higher elevation point’s structure may acts as a dynamic sensitive structure. Various countries has provided a pseudo-static constant for the calculation of dynamic wind forces known as the gust factor. Present study aims to evaluate and compare the structural response of three structure i.e. Braced Frame, Hull-Core and Shear Wall Structures under dynamic wind loading as per five different codal provisions viz. India (IS 875 (III):2015, America (ASCE 07-10), Australia/New Zealand (AZ/NZS 1170.2:2011), Canada (NBCC 2015) and British Standards (BS EN 1991-1-1-4:2005) for different structure heights and analyzed in ETABSv.16. All the structures gives satisfactory results in Open and Rough Exposure categories. Evaluated dynamic lateral forces are compared and conclusions are made. Hull-core structure has outperformed rest of the two structures. Results are evaluated on the basis of maximum storey displacement.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.010
GPT teacher head0.231
Teacher spread0.221 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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