A high-fidelity first-order reliability analysis for shear deformable laminated composite plates

Gosling, Peter; Faimun,; Polit, O.

doi:10.1016/j.compstruct.2014.04.007

Cited by 22 publications

(3 citation statements)

References 29 publications

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“…To account for the effects of loading parameters and material parameters, Ben Sghaier et al 21 proposed a high cycle fatigue prediction approach based on the P-S-N curves and Monte Carlo method. To calculate reliability of shear deformable composite laminates, Gosling et al 22 developed a high-fidelity first-order reliability analysis approach based on the plate theory and Monte Carlo method. Wang et al 23 conducted a series of experiments to investigate the compression and shear properties, and the reliability of composite laminates was analyzed based on the dispersibility models.…”

Section: Introductionmentioning

confidence: 99%

Reliability model for wind turbine blade composites under alternate action of normal and extreme wind loads

Gao

Yuan

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Wind turbine blade is the key component to capture wind power, and it is mainly composed of glass fiber reinforced polymer (GFRP). Due to the randomness and volatility of wind speed in nature, wind turbine blade is usually subjected to the alternate action of normal and extreme wind loads during its long-term service. In this study, a reliability model that considering the stochastic wind loads and strength degradation of GFRP is proposed. Firstly, a residual strength model is developed based on the Palmgren-Miner (P-M) damage theory and the same damage state (SDS) principle, which is capable of characterizing the strength degradation law of GFRP under the normal wind load. Then, the alternate actions of normal and extreme wind loads are considered, and a dynamic reliability model is presented based on Poisson process and mathematical derivation. Finally, the traditional discrete stress-strength interference (DSSI) model is extended to calculate the dynamic reliability when probability distributions of stochastic wind loads and residual strength of GFRP are unknown. The wind load data and GFRP test data are utilized to demonstrate the effectiveness of the proposed model. The result shows that the reliability of GFRP keeps at a high level in the early stage, then it rapidly decreases due to the accumulation of fatigue damage.

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Section: Introductionmentioning

confidence: 99%

Reliability model for wind turbine blade composites under alternate action of normal and extreme wind loads

Gao

Yuan

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Over the past decades, many authors contributed to the understanding of reliability and probabilistic failure of composites. [4][5][6]. To avoid using such a height safety factors, it is very important to identify and quantify the effect of these uncertainties at their real scale (occurrence scale) and then propagate their effect at the composite component scale.…”

Section: Introductionmentioning

confidence: 99%

Sheet Molding Compound Automotive Component Reliability Using a Micromechanical Damage Approach

et al. 2020

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The mastering of product reliability is essential for industrial competitiveness. If for metallic materials the topic is well-known, especially in automotive industry, Original Equipment Manufacturers are expecting strong support of their suppliers to full-fill the lack data. This paper presents a new original approach, using a micromechanical based on damage model to address the problem of reliability of Sheet Molding Compound (SMC) components. The first part demonstrates the inadequacy of the standard method of reliability on SMC material through its application on the new Peugeot 3008. In fact, the very flat S-N curve of SMC, and in general, composite materials is not appropriate for acceleration effect. The proposed model correlates the stress, damage and strength with both cycle number and slamming velocity. It emphasizes the relation between the effective distribution with the slamming velocity effect. Then, a new reliability approach based on a micromechanical fatigue/damage model was developed. The definition of new probability distributions based on damage was necessary to apply properly the stressresistance approach. It allows taking into account the velocity effect by switching in damage space. Finally, applying this new methodology on the Peugeot 3008, leads to the definition of the optimal validation laboratory tests to ensure the reliability. Indeed, the required number of cycles to ensure reliability has been reduced significantly. Micromechanical damage reliability approach could be an efficient way to ensure the reliability of short fiber reinforcement composite components used in industrial context.

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“…A stochastic finite element method for the analysis of composite plates was proposed in [17]. A First Order Reliability Method (FORM) to study shear deformable laminated composite plates was used in [21]. For more details, interested readers are referred to a comprehensive review on the reliability studies of composite structures and references therein.…”

Section: Introductionmentioning

confidence: 99%

Adaptive importance sampling based neural network framework for reliability and sensitivity prediction for variable stiffness composite laminates with hybrid uncertainties

Mathew

Prajith

Ruiz

et al. 2020

Composite Structures

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In this work, we propose to leverage the advantages of both the Artificial Neural Network (ANN) based Second Order Reliability Method (SORM) and Importance sampling to yield an Adaptive Importance Sampling based ANN, with specific application towards failure probability and sensitivity estimates of Variable Stiffness Composite Laminate (VSCL) plates, in the presence of multiple independent geometric and material uncertainties. The performance function for the case studies is defined based on the fundamental frequency of the VSCL plate. The accuracy in both the reliability estimates and sensitivity studies using the proposed method were found to be in close agreement with that obtained using the ANN based brute-force MCS method, with a significant computational savings of 95%. Moreover, the importance of taking into account the randomness in ply thickness for failure probability estimates is also highlighted quantitatively under the sensitivity studies section.

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A high-fidelity first-order reliability analysis for shear deformable laminated composite plates

Cited by 22 publications

References 29 publications

Reliability model for wind turbine blade composites under alternate action of normal and extreme wind loads

Reliability model for wind turbine blade composites under alternate action of normal and extreme wind loads

Sheet Molding Compound Automotive Component Reliability Using a Micromechanical Damage Approach

Adaptive importance sampling based neural network framework for reliability and sensitivity prediction for variable stiffness composite laminates with hybrid uncertainties

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