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Record W4409578519 · doi:10.1016/j.jcsr.2025.109553

Experimental investigation on serviceability and strength of cold-formed steel I-joists for building construction

2025· article· en· W4409578519 on OpenAlexaffabout
Quzzafi Rehman, Khaled Sennah, Amr A. Nassr

Bibliographic record

VenueJournal of Constructional Steel Research · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsServiceability (structure)Structural engineeringCold-formed steelEngineeringCold formingForensic engineeringFinite element method

Abstract

fetched live from OpenAlex

Cold-formed steel (CFS) has been used in residential and commercial buildings as a cost-effective alternative to traditional wood materials. CFS provides a high strength-to-weight ratio, permitting longer spans and lighter structures. However, vibration serviceability issues may arise and cause building occupant discomfort. The available design methods to calculate the dynamic properties of floor systems (i.e., Canadian Wood Council Method, CWC; Applied Design Council Design Method, ATC; and Eurocode , EC5) are used for the design of light-frame timber-based systems, CFS C-shape joists, and structural steel and concrete floor systems. The applicability of such methods to I-shape CFS joists is as yet unavailable. In addition, the North American Code for Cold-formed Steel Structural Members (CSA-S136:16) provides specifications of serviceability and ultimate limit state design for only the C-shape joists. This paper presents laboratory results on the vibration and strength of a recently developed CFS I-shape joist in a floor system to recommend a reliable model for predicting the dynamic response of the floor system and compare its results with commercially-available engineered wood I-joists of the same depth and span length to provide a meaningful benchmark, allowing designers to assess how CFS joists perform relative to a widely accepted standard and established systems. This comparison directly aids the design process by providing a comparative framework, guiding code development, and ensuring practical implementation while highlighting the potential advantages of CFS I-joists. The experimental findings were compared with available code provisions for serviceability and ultimate limit state design of CFS joists. Experimental results reveal that the CFS I-joists exhibit superior deflection performance under a 1-kN load, with 36 % less deflection on average compared to engineered wood I-joists of equivalent size. Additionally, CFS I-joists demonstrated a 20 % higher natural frequency than wood I-joists, indicating better vibration performance. Based on the experimental findings, a coefficient γ, representing the ratio of shear deflection to flexural deflection for the CFS member, was developed, significantly improving the accuracy of deflection and frequency predictions. Finally, the CSA-S136:16 direct strength method provided a more precise bending strength prediction than the traditional equivalent width method. This research provides a comparative framework for designers, guiding code development and ensuring practical implementation while highlighting the advantages of CFS I-joists as a sustainable and efficient alternative.

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 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)0.001
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 score0.076
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.041
GPT teacher head0.339
Teacher spread0.298 · 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 teacher head, 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

Citations2
Published2025
Admission routes2
Has abstractyes

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