Non-destructive integrity assessment of aging steel components

Bolzon, Gabriella; Talassi, Marco

doi:10.1016/j.ijpvp.2022.104673

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…Therefore, the identification and analysis of the deterioration mechanisms, can establish inspection intervals equal or smaller than those established by NR 13, contributing to integrity management and avoiding equipment failures. 12,13…”

Section: Asset Integrity and Reliabilitymentioning

confidence: 99%

“…Notably, this is general information, a starting point that ignores other variables such as temperature, pressure, concentration, and flow rates, among others. 13 Another factor to consider is the frequency of tests and the definition of inspections on assets. Carrying out unnecessary inspections can be harmful if it involves opening lines and equipment or allowing corrosive media to enter, which can increase the future failure risk, for example, by damaging coatings and flanged joints.…”

Section: Mature Assets Tests and Inspectionmentioning

confidence: 99%

“…The API 580 code contemplates not only the consequence of an incident but also the probability of its occurrence, considering the integrity of the equipment and the mechanisms of deterioration of the asset. Therefore, the identification and analysis of the deterioration mechanisms, can establish inspection intervals equal or smaller than those established by NR 13, contributing to integrity management and avoiding equipment failures 12,13 …”

Section: Introductionmentioning

confidence: 99%

“…The matrix below (Table 1) indicates the probability of an asset suffering degradation due to the fluid it operates or stores. Notably, this is general information, a starting point that ignores other variables such as temperature, pressure, concentration, and flow rates, among others 13 …”

Section: Introductionmentioning

confidence: 99%

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Asset integrity management in mature process plants

Matheus

Correia

Morais

et al. 2023

Process Safety Progress

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Several plants in Brazil have mature assets or use equipment that comes from decommissioned facilities. In addition, the culture of process safety in Brazil is an under‐researched topic that has only recently begun to attract corporate attention. Since catastrophic accidents are not very common, any accident related to the process can result in very large losses in terms of damage to equipment and loss of human and social capital. In mature process plants, these issues are even more sensitive because their organization may not yet have developed an effective integrity management program. Nevertheless, it is a proven fact that the assets of these plants are often nearing the end of their residual lifetime. Therefore, the present work aims to develop a high‐level checklist to evaluate the mechanical integrity and identify possible failures in the integrity management of vessels and tanks, based in good engineering practices, Regulatory Standard 13 (NR 13), API 579‐1/ASME FFS‐1, API RP 580, API RP 581, HSE (Health and Safety Executive) requirements, and other relevant standards as references. The checklist ts divided into six sections, namely (1) Brazilian Regulatory Standard 13 (NR 13); (2) Design and manufacturing; (3) Operation; (4) Management systems; (5) Deterioration mechanism; and (6) Risk‐based inspection, as the most relevant criteria for evaluating the integrity of mature pressure vessels and tanks.

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Section: Asset Integrity and Reliabilitymentioning

confidence: 99%

Section: Mature Assets Tests and Inspectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Asset integrity management in mature process plants

Matheus

Correia

Morais

et al. 2023

Process Safety Progress

View full text Add to dashboard Cite

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3D Scan of Hardness Imprints for the Non-destructive In-Situ Structural Assessment of Operated Metal Components

Bolzon,

Talassi

2023

J Nondestruct Eval

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The structural integrity of operated components can be assessed by non-destructive mechanical tests performed in-situ with portable instruments. Particularly promising in this context are small scale hardness tests supplemented by the mapping of the residual imprints left on metal surfaces. The data thus collected represent the input of inverse analysis procedures, which determine the material characteristics and their evolution over time. The reliability of these estimates depends on the accuracy of the geometry scans and on the robustness of the data filtering and interpretation methodologies. The objective of the present work is to evaluate the accuracy of the 3D reconstruction of the residual deformation produced on metals by hardness tests performed at a few hundred N load. The geometry data are acquired by portable optical microscopes with variable focal distance. The imperfections introduced by the imaging system, which may not be optimized for all ambient conditions when used in automatic mode, are analysed. Representative examples of the output produced by the scanning tool are examined, focusing attention on the experimental disturbances typical of onsite applications. Proper orthogonal decomposition and data reduction techniques are applied to the information returned by the instrumentation. The essential features of the collected datasets are extracted and the main noise is removed. The results of this investigation show that the accuracy achievable with the considered equipment and regularization procedures can support the development of reliable diagnostic analyses of metal components in existing structures and infrastructures.

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