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Record W2559239040 · doi:10.5339/qfarc.2016.eepp2836

Determining the Threshold Temperature for Chloride Stress Corrosion Cracking Using a Laboratory Simulation of Field Conditions in Qatar

2016· article· en· W2559239040 on OpenAlex
Hanan Farhat, John Agcaoili, J.M. Jr. Fox, D. Mercier

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

VenueQatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1 · 2016
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsProfessional Engineers Ontario
Fundersnot available
KeywordsCorrosionStress corrosion crackingChlorideCrackingSubmarine pipelineMetallurgyHumidityMaterials scienceStress (linguistics)Environmental scienceWeldingUltimate tensile strengthSeawaterPetrochemicalComposite materialGeotechnical engineeringEnvironmental engineeringGeology

Abstract

fetched live from OpenAlex

Very few oil & gas installation locations around the world experience sustained high humidity and high temperature for long periods of the year as what is experienced in Qatar. For example, the humidity in Qatar readily reaches 90% and the summer temperature, measured on metal surfaces, can reach 80 °C. The severe temperature fluctuations causes seawater to evaporate, then condense, and then dry on hot metal surfaces, thereby enhancing local build-up of aggressive species such as chloride on the metal surfaces. In some situations, this is complicated by sand storms which leave contaminating sand particles on exposed surfaces in this environment. Qatar has many oil and gas (upstream), petrochemical and chemical plants (downstream) in both offshore and onshore marine locations. For chloride stress corrosion cracking to take place, three important ingredients have to exist: (i) a critical environment, (ii) a susceptible material and (iii) tensile stress. All these three ingredients exist in Qatar onshore and offshore sites. The presence of residual tensile stresses due to welding or other forming process or fit up stresses from assembly increases the susceptibility of the component to CSCC. Chloride stress corrosion cracking can occur fast when evaporation exists even at room temperature. A number of catastrophic CSCC failures of stainless steels roof construction in swimming pool environments has resulted in human causalities over the past decades. Due to the nature of the local environment and the abundance of stainless steel used in Qatari installations the investigation of chloride stress corrosion cracking (CSCC) of stainless steel alloys is very much warranted. The critical temperature for application of protective coating to prevent CSCC is still to be identified with any certainty. According to NORSOK standard M-001 recommendations, the maximum operating temperature for 316 stainless steel is 60 °C, and for duplex stainless steels is 100 °C, above which, protective coating has to be applied to prevent CSCC. These temperature limits are being questioned and there are concerns being raised about their accuracy when field evidence shows that cracking is occurring at temperatures below these limits. CSCC can lead to oil and gas leaks that have a major impact on the environment and on public safety as well as production loss. In this research, a modified ISO drop evaporation test was developed to identify the threshold temperature for cracking for three different austenitic stainless steels, mainly 316, 304 and 904L stainless steels. The samples are prone to load and heat, while Qatar specific seawater is dripped on them, the samples are heated using electrical resistant heating. The test is conducted at four different temperatures (room temperature, 40 °C, 50 °C and 60 °C) and under three different loads (70% σ = < /AσΣETHιγηλιγητ>0.2, 80% σ = < /AσΣETHιγηλιγητ>0.2 and 90% σ = < /AσΣETHιγηλιγητ>0.2). The temperature and load are continuously monitored and adjusted when deviated. The lab-built test setup enabled the testing of sixteen parallel fixtures concurrently. The threshold temperature for cracking for the tested material was recorded at each applied load. Severe pitting was observed underneath the salt layer, and was dependent on the applied load. A new threshold temperature for cracking was recorded and a recommendation to the local industry to revise the threshold temperature for chloride stress corrosion cracking is to be issued.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.358
Teacher spread0.308 · 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