Search results for "Fatigue crack growth"

showing 4 items of 4 documents

Fatigue crack growth through particulate clusters in polycarbonate material

2011

The interaction of a crack with a perfectly bonded inclusion or a cluster of inclusions in polycarbonate matrix was investigated through both numerical simulations and fatigue tests. Stress intensity factors (K(I)) were evaluated by boundary element method for several particle sizes, position and finally for inclusion cluster as a precursor study for the experiments. The numerical simulation has shown the crack tendency to circumvent the inclusions with consequential reduction of the growth rate. Fatigue crack growth tests were carried out on several particle-filled specimens at constant value of the applied stress intensity factor range (Delta K(Iapp)) highlighting the crack delay due to t…

Crack growthMaterials sciencebusiness.industryCrack-inclusion interactionMechanical EngineeringEffective stressParticulate compositeSettore ING-IND/34 - Bioingegneria IndustrialeStructural engineeringParis' lawCrack growth resistance curveCrack closureMechanics of Materialsmental disordersBoundary element methodShielding effectGeneral Materials ScienceGrowth rateComposite materialFatigue crack growth propagationbusinessStress intensity factorStress concentrationEngineering Fracture Mechanics
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Empirical model for stress ratio effect on fatigue delamination growth rate in composite laminates

2004

An empirical model is proposed for the stress ratio effect on the fatigue delamination growth rate in composite laminates under single-mode loading, intending to provide a simple and accurate description tool in engineering application. The model is based on heuristic considerations of damage accumulation ahead of the crack. Linear cumulative assumption is used for damage estimation. Comparison of the prediction based on the proposed model with the test results for different carbon, glass, and alumina fibre-reinforced composites at several stress ratios shows reasonable agreement.

Materials scienceStress ratioMechanical EngineeringDelaminationComposite laminatesIndustrial and Manufacturing EngineeringdelaminationStress (mechanics)fatigue crack growthMechanics of MaterialsModeling and Simulationpolymer matrix compositesfatigue modellingGeneral Materials ScienceGrowth rateComposite materialINTERNATIONAL JOURNAL OF FATIGUE
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Fatigue delamination experiments on GFRP and CFRP specimens under single and mixed fracture modes

2011

This paper deals with the experimental analysis of the delamination phenomena in composite materials under different loading conditions. Quasi-static and fatigue tests are performed on specimens made of glass-fibre (GFRP) and carbon-fibre (CFRP) reinforced plastic. In particular, experiments have been carried out under single fracture modes I and II (using standard DCB and ENF test configurations) and mixed modes I+II (using the MMB test configuration) with several mode mixtures. Results obtained for the two materials have been compared paying attention on the relationship between the parameters that describe the fatigue behaviour and the mode mixture acting during the crack propagation. © …

Materials sciencebusiness.industryFibre reinforced materialsDelaminationFracture mechanicsGeneral MedicineStructural engineeringFibre-reinforced plasticFatigue crack growthSingle fractureSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineDelaminationFracture (geology)Composite materialbusinessEngineering(all)Procedia Engineering
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Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys

2022

Fatigue cracks are a major defect in metal alloys, and specifically, their study poses defect evaluation challenges in aluminum aircraft alloys. Existing inline inspection tools exhibit measurement uncertainties. The physical-based methods for crack growth prediction utilize stress analysis models and the crack growth model governed by Paris’ law. These models, when utilized for long-term crack growth prediction, yield sub-optimum solutions and pose several technical limitations to the prediction problems. The metaheuristic optimization algorithms in this study have been conducted in accordance with neural networks to accurately forecast the crack growth rates in aluminum alloys. Through ex…

VDP::Teknologi: 500crack growth rate; artificial intelligence; deep learning; aluminum aircraft alloys; fatigue crack growth predictionGeneral Materials ScienceMaterials
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