MétaCan
Menu
Back to cohort
Record W7144182055 · doi:10.24561/00018890

Reliability-based design for buckling strength of stiffened steel plates : ultimate and serviceability limit states

2019· dissertation· en· W7144182055 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2019
Typedissertation
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsServiceability (structure)BucklingLimit state designLimit (mathematics)WeldingLimit load

Abstract

fetched live from OpenAlex

The strengths of longitudinally continuous stiffened steel plates under uniaxial compression were investigated by employing a combination of numerical and probabilistic approaches. The probabilistic compressive strengths were obtained for two different limit states, i.e. the Ultimate Limit State (ULS) and the Serviceability Limit State (SLS). For slender stiffened plates, the SLS is particularly important because large out-of-plane deflection occurs due to elastic buckling, before reaching the ultimate strength. Due to lack of specific criteria to determine the compressive strength at SLS, a rational criterion has been proposed based on elastic buckling strength and fabrication tolerance. Three different stiffened plate models with three, two, and one flat plate longitudinal stiffeners, corresponding to Model-1, Model-2, and Model-3 were considered for the study, where Model-1 and Model-2 shows column-like behavior (small post-buckling strength) and Model-3 exhibits plate-like behavior (significant post-buckling strength reserve). The plates of both normal and high-performance steel (SBHS) were taken into account, and their thickness was varied from 10 to 90 mm. The compressive strengths at ULS and SLS were determined from nonlinear elasto-plastic finite element analysis (FEA), where both material and geometric nonlinearity were taken into account. As a source of variability of the compressive strengths, variation of the initial out-of-plane deflection and residual stress were considered simultaneously in the FEA. The probabilistic distribution of the compressive strengths for Model-1 and Model-2 were obtained through Monte Carlo simulations in association with the response surface method. The response surface function is a second order polynomial of the independent random variables, i.e. the initial out-of-plane deflections and the residual stresses. For Model-3, an approximate estimation procedure was followed to obtain the first-order mean values. The first order variances were also estimated approximately, employing the Taylor series finite difference (TSFD) method. Based on the obtained probabilistic information, partial safety factors were proposed, considering the mean value strengths as the nominal strengths, as an example. The study results were compared with different design codes e.g. JSHB, AASHTO, Eurocode, and Canadian Code. Comparing to the ULS strengths for Model-1 and Model-2 with a 5% non-exceedance probability indicate that the JSHB, AASHTO, and Canadian Code provides significantly conservative design, specifically for stiffened plates with high reduced slenderness parameters. However, in the middle range of reduced slenderness parameters, AASHTO and Canadian Code predicts overestimated strengths for Model-3. All of the three Models showed better agreement with the Eurocode than other design specifications. Nevertheless, a scope for improvement of the Eurocode was addressed by considering continuous stiffened panels (in the longitudinal direction) rather than an isolated panel. The uniqueness of this research is that the effect of thick plates and SBHS steels were included. Furthermore, rather than deterministic strengths, probabilistic strengths are provided for column-like behavior and plate-like behavior, which can be used as an important reference for developing a reliability-based design strength curve.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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