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Record W2548486959 · doi:10.21608/jesaun.2009.127861

INVESTIGATION ON DIFFERENT LATERAL EARTHQUAKE FORCE METHODS OF ANALYSIS

2009· article· en· W2548486959 on OpenAlexaboutno aff
Waleed Abo El-Wafa Mohamed

Bibliographic record

VenueJES. Journal of Engineering Sciences/JES. Journal of engineering sciences · 2009
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsResponse spectrumStructural engineeringSeismic analysisModal analysisShear (geology)Base (topology)ModalEarthquake simulationBuilding codeResponse analysisCode (set theory)Computer scienceSeismologyGeologyEngineeringMathematicsFinite element methodMathematical analysisMaterials science

Abstract

fetched live from OpenAlex

In the concept of lateral seismic design there are three famous analysis methods. These methods include the equivalent static load (ESL), modal response spectrum (MRS) and time history analysis (THA). In this study, the variation in the resulted base shear using any of these methods is investigated. The modal response spectrum analysis, either simplified (same as ESL) or multiple, is carried out using the elastic design spectrum specified by the renewed Egyptian Code of Loads (2008 ECOL). The time history analysis is applied using seven delibrate different real earthquake excitations selected to match the specified elastic spectrum and soil type. Suggestions to rationally enhance the seismic protection level obtained from the multiple response spectrum is presented and emphasized. This study extends to analyze and compare our resulted base shear with those obtained from different international codes as the European, American and Canadian codes for sites with similar conditions. Special emphasis is paid to evaluate the ECOL response modification factors compared with the considered codes. It is found that there is high variation between the base shear obtained using the code specified different analysis methods and in comparison with the considered codes and hence some seismic provisions in the new 2008 ECOL need to be recontemplated.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.261
Teacher spread0.240 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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