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Record W2152308749 · doi:10.1061/41031(341)63

Enhancing the Structural Performance of a Slender Residential Tower Using Supplemental Damping System

2009· article· en· W2152308749 on OpenAlex
Bujar Myslimaj, Jamieson Robinson, Andrew Smith, Stephen DeSimone, Christopher Cerino, Ashley Byrne

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

VenueStructures Congress 2009 · 2009
Typearticle
Languageen
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsUniversity of GuelphRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsTowerStructural systemStructural engineeringProcess (computing)Scheme (mathematics)EngineeringDesign processComputer scienceEngineering design processMechanical engineeringWork in processMathematics

Abstract

fetched live from OpenAlex

Achieving a target performance in the design of slender, wind-sensitive tall buildings is challenging, and often the process of optimizing a structural design scheme goes through several iterations. In this paper, the enhancement of the structural design of a very slender residential tower through the implementation of a supplemental damping system is presented, and the advantages of considering the integration of damping systems in the structural schemes of dynamically sensitive towers at early design stages are discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.914

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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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