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Record W3095685676 · doi:10.1177/1369433220969023

Tuned mass dampers for the drift reduction of structures with soil effects using ant colony optimization

2020· article· en· W3095685676 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Structural Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsConcordia University
Fundersnot available
KeywordsTuned mass damperReduction (mathematics)Ant colony optimization algorithmsDisplacement (psychology)AccelerationStructural engineeringMaterials scienceDamperComputer scienceEnvironmental scienceBiological systemEngineeringMathematicsPhysicsAlgorithmBiologyGeometry

Abstract

fetched live from OpenAlex

This paper probes the effects of the Tuned Mass Damper (TMD) device on the response of a 40-story building including three types of soils and experiencing 16 far-field earthquakes. The Ant Colony Optimization (ACO) method is employed to obtain the best settings for TMD values and the objective is reducing the maximum drift of the structure considering soil structure interaction (SSI) effects. The TMD effects on the displacement and acceleration response of the structure as well as its influence on the drift response are studied. Moreover, the frequency analyses of the drift responses in addition to the story locations with the highest drifts are also investigated. It is shown that the optimized design results in considerable reduction in drifts enhancing the profits of utilizing the TMD device.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score0.389

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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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