Stress corrosion cracking of A515 grade 60 carbon steel

Moore, E. L.

doi:10.2172/4193343

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results are confirmed by the subsequent work carried out by Moore [19] and at Savannah River. [20] Laboratory-scale experiments were made with C-ring Table III.…”

Section: Stress Corrosion Cracking Studiessupporting

confidence: 76%

“…Cracking occurred at all concentratio n levels evaluated while the time-to-fail ure increased from a few hours to about one week as the nitrate concentration decreased from 10 to 0.05M. A plot of nitrate' concentration versus time-to-failure ( Figure 1) shows a definite break in the curve between 2 and lM nitrate ion (Runs 16,18,and 19). The effect of pH was also evaluated .…”

Section: Arh-st-111mentioning

confidence: 99%

“…The work of both Maness [18] and Moore [19] amply demonstrates that a sodium nitrate solution will cause stress corrosion cracking of stressed mild steel at elevated temperature.…”

Section: Arh-st-111mentioning

confidence: 99%

See 2 more Smart Citations

Compilation of Hanford corrosion studies

Lini¹

1975

View full text Add to dashboard Cite

“…These results are confirmed by the subsequent work carried out by Moore [19] and at Savannah River. [20] Laboratory-scale experiments were made with C-ring Table III.…”

Section: Stress Corrosion Cracking Studiessupporting

confidence: 76%

Section: Arh-st-111mentioning

confidence: 99%

See 1 more Smart Citation

Compilation of Hanford corrosion studies

Lini¹

1975

View full text Add to dashboard Cite

2017 Frank Newman Speller Award: Knowledge-Based Predictive Analytics in Corrosion

Sridhar¹

2017

Corrosion

View full text Add to dashboard Cite

Corrosion researchers have developed many approaches to predicting the occurrence of different corrosion modes. Four types of predictive analytics can be identified: data-centric correlative analysis, theory-based semi-empirical models, expert-knowledge-based models, and theory-based, multi-scale models. However, most new corrosion failures have been serendipitous discoveries, rather than anticipated through a systematic process. This paper reviews stress corrosion cracking (SCC) of carbon steel in non-aqueous electrolytes and in aqueous solutions of oxyanions, to understand whether using the appropriate predictive analytic strategy may have helped anticipate the failures. In all of these cases of SCC, some information was available in related environments prior to field failures, but a framework was lacking to identify the connections and anticipate failures. Data-centric predictive analytics would not have helped anticipate the failures because of the low frequency of the phenomena and the lack of prior failure data. A better predictive analytic strategy will need methods to integrate diverse sources of knowledge into a theoretical framework. Predictive analytics also must have a probabilistic component because both the knowledge and data are uncertain. The paper provides a conceptual approach to developing such a predictive analytics framework.

show abstract

Stress corrosion cracking of A515 grade 60 carbon steel

Cited by 2 publications

References 0 publications

Compilation of Hanford corrosion studies

Compilation of Hanford corrosion studies

2017 Frank Newman Speller Award: Knowledge-Based Predictive Analytics in Corrosion

Contact Info

Product

Resources

About