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Record W4239672004 · doi:10.11159/icsect20.135

Effective Moment of Inertia of Beam-Slab Section under Lateral Load

2020· article· en· W4239672004 on OpenAlexvenueno aff
Yasir W. Abduljalee, Mustafa M. Khattab, Adnan Falih Ali

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMoment of inertiaSlabSection (typography)Beam (structure)Moment (physics)Structural engineeringInertiaPhysicsEngineeringComputer scienceClassical mechanics

Abstract

fetched live from OpenAlex

This study developed the modified equivalent frame method, using column elements and equivalent slab-beam elements for two-way slab systems under lateral loads. A detailed comparative study between the F.E analysis, which is based on the three dimensional full width of slab, and 3D frame analysis using different types of effective moment of inertia of beam-slab section. The purpose of this step is to choose an appropriate model of effective width of slab to represent the full width of slab under lateral loads. The dynamic analysis was done using finite element procedure provided by ETABS. Parametric studies were carried out to evaluate the effects of several factors such as panel of slab aspect ratio, column aspect ratio, column to span ratio, irregularity in plan of buildings and height of buildings. Two heights of buildings were considered for those above mentioned factors, these are (45m and 75m). This study presents the modified beam model, which gives the effective moment inertia of slab-beam system under lateral load. The response of the proposed model gives a good result in comparison with F.E idealization with small error range from (2-5) % for displacement and frequency and (5-8) % for base shear and base moment

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.841

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 head0.004
GPT teacher head0.167
Teacher spread0.163 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicStructural Load-Bearing AnalysisFrench-language works237,207