Structural Reliability Improvement Using In-Service Inspection for Intergranular Stress Corrosion of Large Stainless Steel Piping

Guedri, A.; Djebbar, Yassine; Khaleel, Mohammad A.; Zeghloul, A.

doi:10.5772/48521

Cited by 7 publications

(9 citation statements)

References 19 publications

(9 reference statements)

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“…This section presents the methodology recommended by [3,21,22,23,24] for modeling IGSCC in stainless steel pipes, which is based on two-dimensional semi-elliptical interior surface cracks that are typically circumferentially oriented. The overall time to pipe leaks is separated into three steps: time to initiate a very small crack, time spent growing small cracks at an initiation velocity, and time spent growing larger cracks at fracture mechanics velocity to become through-wall cracks.…”

Section: Evaluation Of Piping Reliabilitymentioning

confidence: 99%

Enhancing Piping System Reliability Through Material Upgrades and ANN-Based Damage Parameter Estimation

Amine Belyamna,

Guedri,

Aiiaoui

et al. 2023

AMS

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The objective of this study is to enhance the longevity of damaged or defective components through necessary repairs. In corrosive environments, stainless steels, such as 304 and 316NG austenitic stainless steel (SS), are preferred due to their chemical composition. Notably, 316SS contains a higher molybdenum content, resulting in improved resistance to pitting and crevice corrosion. The simulation of intergranular stress corrosion cracking (IGSCC) in SS piping relies on factors like applied and residual stresses, environmental conditions, and sensitization degree. To understand crack growth rates and times-to-initiation for each material, "damage parameters (DPs)" are utilized. These DPs consolidate the individual influences of various parameters. To estimate the DPs an artificial neuronal network (ANN) is proposed in this work. The ANN serves as a tool for predicting the DPs based on the given inputs. The obtained results are then utilized in numerical simulations to assess crack growth rates, times-to-initiation, and reliability for damaged 304SS and 316SS. Finally, this paper investigates the impact of replacing old 304 material with new 316NG material on piping reliability. By examining the effects of this replacement, the study aims to provide insights into how the reliability of the piping can be improved through material upgrades.

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Section: Evaluation Of Piping Reliabilitymentioning

confidence: 99%

Enhancing Piping System Reliability Through Material Upgrades and ANN-Based Damage Parameter Estimation

Amine Belyamna,

Guedri,

Aiiaoui

et al. 2023

AMS

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“…The pipe reliability model used is based on the general methodology recommended by the modified pipe reliability analysis program including seismic events (M-PRAISE) [7][8][9]. The calculation method using Monte Carlo simulations aims at estimating the probability of leakage by combining several random variables, such as the distribution of the initial crack size, their probabilities of detection, their speed of propagation and application of loads.…”

Section: General Description Of the Degradation Modelmentioning

confidence: 99%

“…The fracture mechanics, in which the probabilistic technique is applied, is called Probabilistic Fracture Mechanics, PFM. The studies on the PFM are applied to the assessment of structural reliability of pressurized vessels of a nuclear power plant [1][2][3][4][5][6][7][8][9]. Nowadays, the PFM takes an important part in safety design of the nuclear power plant [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of a Pre-Cracked Structure in Accidental Operation Conditions

Belyamna

Guedri

Boutelidja

2019

KEM

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Evaluating the integrity of a structure consists in proving its ability to realize its mechanical functions for all modes of loading, normal or accidental, and throughout its lifetime. In the context of nuclear safety, the most important structures consider the presence of a degradation grouping several aspects, such as cracks. In this context, the fracture mechanics provide the tools needed to analyze cracked components. Its purpose is to establish break criteria for judging loading margins in normal or accidental operating conditions. The seismic load is one of the dominant loads for the failure assessment of the pipes. Its probabilistic dispersion, however, was not taken into account in the past probabilistic fracture mechanics analysis. The objective of this paper is to simulate and analyze the effect of abnormal stress on the reliability of tow pipe sizes. As result the seismic stress has more effect on the break probability, but not for the leak probability. In the case without a seismic load, the break probability is mainly dominated by an initial crack size. The earthquake has much effect on the break probability for the large diameter pipe, not for the small diameter pipe. In the large diameter pipe, the break probability increases gradually with the time. The leak probability of both pipe sizes is not affected by the seismic curve.

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“…To analyse the thermomechanical behaviour and evaluate residual stresses in stainless steel (AISI-304), this investigation employs thermal elastoplastic analysis using finite element techniques. By using this method, we can simulate and study the temperature and stress distribution around the welded joint and evaluate the component's structural integrity including the effect of residual stress based on our past works [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Effects of Welding Sequences on Residual Stresses in a Butt Joint of Austenitic Piping

Zeghida,

Guedri

2023

AMS

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This study aimed to investigate the effects of welding sequences on residual stresses and distortions of welded components, using computational thermomechanical model-based finite element analysis (FEA). Residual stresses, a common outcome of welding, can cause material distortions and reduce product quality. We used FEA to simulate transient temperature fields generated during welding and evaluated their impact on the amplitude and distribution of residual stresses, the size of fusion and heat-affected zones, material microstructures, properties and fracture toughness. The study focused on an austenitic pipe butt junction, a commonly welded component in various industries. The identification of optimal welding sequences can minimize residual stresses and distortions, providing valuable insights for the development of efficient welding techniques, improved product quality, and reduced manufacturing costs.

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Structural Reliability Improvement Using In-Service Inspection for Intergranular Stress Corrosion of Large Stainless Steel Piping

Cited by 7 publications

References 19 publications

Enhancing Piping System Reliability Through Material Upgrades and ANN-Based Damage Parameter Estimation

Enhancing Piping System Reliability Through Material Upgrades and ANN-Based Damage Parameter Estimation

Reliability Analysis of a Pre-Cracked Structure in Accidental Operation Conditions

Effects of Welding Sequences on Residual Stresses in a Butt Joint of Austenitic Piping

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