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Record W7125517016 · doi:10.1002/cepa.70041

Experimental study of stainless steel angle sections 3D‐printed by wire‐laser additive manufacturing (WLAM)

2025· article· en· W7125517016 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

Venuece/papers · 2025
Typearticle
Languageen
FieldEngineering
TopicInnovations in Concrete and Construction Materials
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsEurocodeStub (electronics)Strain hardening exponentMaterial propertiesHardening (computing)Indentation hardness

Abstract

fetched live from OpenAlex

Abstract Additive manufacturing, often known as 3D‐printing, is being increasingly used in the construction industry. This paper presents an experimental study on the loadcarrying capacities of stainless steel equal‐leg angle section stub columns 3D‐printed by means of the emerging wire‐laser additive manufacturing (WLAM) technology. The testing programme included material coupon tests, measurements of geometric properties and 16 stub column tests. Following the testing programme, a design analysis was carried out based on the obtained test data, where the applicability of Eurocode 3 to WLAM stainless steel equal‐leg angle sections was assessed. The assessment results generally reveal that Eurocode 3 offers conservative design resistances for WLAM stainless steel angle section stub columns under compression. The Continuous Strength Method, which accounts for the effect of material strain hardening in the cross‐section resistance prediction, was also evaluated and found to offer improved overall design accuracy over Eurocode 3.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.776

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)0.0010.000

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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