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New Robust Linearized Seismic Analysis Method For Tall Guyed Telecommunication Masts

2011· article· en· W2054839868 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

VenueJournal of Structural Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsMast (botany)Structural engineeringServiceability (structure)Induced seismicityEngineeringStiffnessInertiaNonlinear systemIcingCivil engineeringGeologyPhysics

Abstract

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Design of tall telecommunication masts is usually governed by serviceability criteria under high wind conditions, typically combined with icing in cold climates. However, there is a need for seismic design checks for guyed masts constructed in zones with moderate to high seismicity, as is routinely prescribed for buildings in modern codes. There have been few efforts towards proposing a robust simplified method of general applicability for the seismic analysis of tall masts. These structures can be represented by the simple concept of a continuous beam-column (the lattice mast) on nonlinear elastic supports (the guy cable clusters at various stay levels). In this study, the guy cables are replaced by equivalent linear lumped parameters (stiffness, mass, and viscous damping) and the effects of their interaction with the mast stiffness and inertia on the structural characteristics are discussed. The approach was tested with nine case studies of real telecommunication masts subjected to five different seismic inputs and further validated with more analysis for two selected masts under the effects of 81 recorded Californian earthquakes.

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: Methods · Consensus signal: none
Teacher disagreement score0.517
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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