MétaCan
Menu
Back to cohort
Record W4224997354 · doi:10.1201/9780203735008-53

Feasibility of concrete-filled HSS trusses

2022· book-chapter· en· W4224997354 on OpenAlexaboutno aff
N. Noor, J. A. Packer

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTrussStructural engineeringGroutStiffnessEngineeringRoofPrecast concreteReinforcementEurocodeMaterials scienceGeotechnical engineering

Abstract

fetched live from OpenAlex

The practice of filling Hollow Structural Section (HSS) columns with concrete is now commonplace, and most national or international design specifications give specific recommendations for determining the resistance of such elements. In addition, tubular members have been filled with concrete or grout at critical locations as a means of connection reinforcement, rather than externally plating the main hollow section member. Initially, the advantages and disadvantages of concrete (or grout)-filling are reviewed, including the issues of self-weight, cost, connection strength, truss stiffness, fire resistance and truss strength. Concrete-filling affects truss performance by enabling strut or compression members to behave as composite HSS beam-columns, as well as transforming the truss into a rigid-jointed structure. In order to examine the structural implications of concrete-filling, two roof trusses are designed for typical Canadian roof loads in square hollow sections -a 36.6m medium span Warren truss, and a 70m long span Pratt truss. Each truss is designed as unfilled, to the 1994 Canadian (CSA) structural steel specification and filled. Furthermore, the design for the grout-filled trusses is also performed to the 1995 CIDECT Design Guide for Concrete-Filled Hollow Section Columns (which generally conforms with Eurocode 4). Overall, the paper shows that modest benefits are produced by concrete (or grout)-filling, with regard to increased fire resistance, reduced steel weights, and increased truss stiffness.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0330.000

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 head0.024
GPT teacher head0.229
Teacher spread0.205 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicStructural Load-Bearing AnalysisFrench-language works237,207