A novel strategy for comparative numerical analysis of the response of buried composite and steel pipes subjected to realistic loading scenarios: FEA in cooperation with Taguchi approach

Azizian, Masoume; Azizian, Mohammad F.; Rashed, Gholamreza; Mohtadi-Bonab, M.A.; Abazadeh, B.

doi:10.1016/j.engfailanal.2021.105228

“…Delta level evaluates the relative effect of each factor on the response by calculating the difference between the highest and lowest SNRs for each factor. 41 Based on these Delta values, Minitab assigns a Rank for each factor. Rank 1 indicates the highest Delta value; consequently, the most effective factor on the response, 41 Rank 2 shows the second highest Delta value, and so on.…”

Section: Probabilistic Analysismentioning

confidence: 99%

“…41 Based on these Delta values, Minitab assigns a Rank for each factor. Rank 1 indicates the highest Delta value; consequently, the most effective factor on the response, 41 Rank 2 shows the second highest Delta value, and so on. Due to the insertion of these efficient criteria in SA and screening, a new index is herein introduced, which this study names as Delta contribution index (DCI).…”

Section: Probabilistic Analysismentioning

confidence: 99%

Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure

Azizian

¹

,

Almeida

²

2023

Journal of Composite Materials

Self Cite

4

0

View full text Add to dashboard Cite

Induced uncertainties during the filament winding process may cause a significant stochastic variation in the mechanical behaviour of composite shells. This paper aims to develop a novel and deep uncertainty quantification (UQ), sensitivity and reliability analyses of filament wound shells considering manufacturing uncertainties. Firstly, a progressive damage analysis is performed to estimate their deterministic burst pressure. Then, a signal-to-noise (SNR) approach is employed using the Taguchi method for sensitivity analysis and screening uncertainties arising from manufacturing. Initial results reveal that the shells are more sensitive to thickness uncertainties for thinner structures. Then, probabilistic and reliability analyses are carried out using the Boosted Decision Trees Regression (BDTR) approach from machine learning algorithms. Despite the complexity and non-linear relationships in the problem, the developed BDTR-based metamodel shows powerful predictive performance. A comparative study shows that ply thickness uncertainty leads to a significant underestimation of failure probability. For expensive and time-consuming models in that only a few runs can be affordable, a modified approximation method for reliability analysis is proposed. Results indicate a high capability at estimating failure probability with high accuracy.

show abstract

“…The maximum working or tolerable pressure of composite tubes/pipes is their most serious and main design constraint. 1 Additionally, a comprehensive study and comparative analysis 2 on buried composite pipes showed that internal pressure is one of the most influential factors on their mechanical behaviour. Thus, simulating damage progress in composite tubes/pipes and estimation of their ultimate load-bearing capacity from the functional and structural point of view as the primary requirement of cost-effective and safe design is of great importance.…”

Section: Introductionmentioning

confidence: 99%

Progressive failure analysis and taguchi-based optimisation of filament-wound composite tubes subjected to internal pressure using continuum damage mechanics approach

Azizian

¹

,

Abazadeh

²

,

Mohtadi-Bonab

³

2022

Journal of Composite Materials

Self Cite

View full text Add to dashboard Cite

In this paper, a hybrid utilisation of the continuum damage mechanics approach and some novel techniques was employed for progressive failure analysis of internally pressurised filament-wound composite tubes. The constructed numerical model in Abaqus software, which is employed for prediction of functional and burst failure of the tubes, was validated with an experimental failure evaluation available in the literature. Results show the high accuracy and precision of the proposed model. Therefore, this model can be used as a cost-effective virtual failure exam prior to experimental tests or as their alternative. Then, this validated model has been used in the second part of this paper for optimisation. Due to some drawbacks of the previous optimisation methods, by using the Taguchi approach capabilities, a novel strategy is proposed for optimisation of the stacking sequence of tubes under various stress ratios with taking into account the manufacturing winding angle restrictions. Results reveal that the obtained optimal stacking sequences are asymmetric and highly dependent on calculation strategies and applied stress ratio.

show abstract

“…Damage evolution and stabilization values used as inputs in the numerical models Rank for each factor. Rank 1 indicates the highest Delta value; consequently, the most effective factor on the response,41 Rank 2 shows the second highest Delta value, and so on. Due to the insertion of these efficient criteria in SA and screening, a new index is herein introduced, which this study names as Delta contribution index (DCI).…”

mentioning

confidence: 99%

Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure

Almeida¹,

Azizian²,

Azizian³

2022

Preprint

0

View full text Add to dashboard Cite

Induced uncertainties during the filament winding process may cause a significant stochastic variation in the mechanical behaviour of composite shells. This paper aims to develop a novel and deep uncertainty quantification (UQ), sensitivity and reliability analyses of filament wound shells considering manufacturing uncertainties. Firstly, a progressive damage analysis is performed to estimate their deterministic burst pressure. Then, a signal-to-noise (SNR) approach is employed using the Taguchi method for sensitivity analysis and screening uncertainties arising from manufacturing. Initial results reveal that the shells are more sensitive to thickness uncertainties for thinner structures. Then, probabilistic and reliability analyses are carried out using the Boosted Decision Trees Regression (BDTR) approach from machine learning algorithms. Despite the complexity and non-linear relationships in the problem, the developed BDTR-based metamodel shows powerful predictive performance. A comparative study shows that ply thickness uncertainty leads to a significant underestimation of failure probability. For expensive and time-consuming models in that only a few runs can be affordable, a modified approximation method for reliability analysis is proposed. Results indicate a high capability at estimating failure probability with high accuracy.

show abstract

A novel strategy for comparative numerical analysis of the response of buried composite and steel pipes subjected to realistic loading scenarios: FEA in cooperation with Taguchi approach

Cited by 5 publications

References 37 publications

Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure

Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure

Progressive failure analysis and taguchi-based optimisation of filament-wound composite tubes subjected to internal pressure using continuum damage mechanics approach

Efficient strategies for reliability analysis and uncertainty quantification for filament-wound cylinders under internal pressure

Contact Info

Product

Resources

About