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Record W7132985279

Pre-Engineered Hollow Structural Section Welded Connections

2025· dissertation· W7132985279 on OpenAlexaboutno aff
Samuel George Richardson

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWeldingConnection (principal bundle)Python (programming language)Section (typography)Limit (mathematics)Limit state design
DOInot available

Abstract

fetched live from OpenAlex

In Canada, the standard for the design of steel structures, CSA S16:24, mandates that Hollow Structural Section (HSS) connections consider a specified set of limit states. However, neither CSA S16:24 nor the CISC Commentary on CSA S16:24 presents limit state equations. This research produced two types of design aids for HSS connections. First, a web application was written in Python to analyse popular welded truss-type planar HSS connections. This program produces detailed calculation sheets, offers feedback, and uses machine learning to suggest design solutions. Thereafter, this software program determined several pre-qualified connections. Since the resistance of HSS connections is often given as a force in each branch member, connection solutions where the connection resistance exceeds the branch member resistance are “pre-approved”, within specific bounds of validity. Further tables with capacities for connections, expressed as branch loads, were also produced.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.003

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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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