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Record W3215675653 · doi:10.23977/jemm.2021.060201

Seismic design of reinforced concrete frame structure based on structural energy analysis

2021· article· en· W3215675653 on OpenAlexvenueno aff
Lili Liu

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2021
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsDissipationStructural engineeringSeismic analysisDisplacement (psychology)Frame (networking)Energy (signal processing)Energy balanceSeismic energyIncremental Dynamic AnalysisComputer scienceGeologyEngineeringMathematicsPhysicsStatistics

Abstract

fetched live from OpenAlex

Different from the traditional seismic design method based on bearing capacity and displacement, the energy method can consider the cumulative plastic damage caused by earthquake duration, which is a relatively perfect seismic design method and has attracted wide attention. Based on the principle of energy balance, through the analysis of hysteretic energy consumption and its interlayer distribution, we can find out the weak parts of the structure and make an effective qualitative evaluation of the seismic performance of the structure. By calculating the inter-story damage index of the structure, the seismic performance of the frame structure can be effectively and quantitatively evaluated. Example analysis shows that the energy response distribution of the structure is closely related to the selection of damping model, and the seismic response and damage process of the structure are closely related to the energy absorption and dissipation process 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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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
Published2021
Admission routes1
Has abstractyes

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