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https://doi.org/10.2139/ssrn.4803878

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11029-022-10047-wopenalex-extracted
Predicting the Degradation of the Residual Strength in Cyclic Loading of Layered Composites
inferredcites →https://doi.org/10.1007/s41745-021-00280-yopenalex-extracted
Review: Fatigue of Fiber-Reinforced Composites, Damage and Failure
inferredcites →https://doi.org/10.1016/0142-1123(80)90022-5openalex-extracted
Analysis of fatigue damage in composite laminates
inferredcites →https://doi.org/10.1016/0142-1123(82)90001-9openalex-extracted
Fracture of fatigue-loaded composite laminates
inferredcites →https://doi.org/10.1016/0142-1123(94)90478-2openalex-extracted
Life prediction for fatigue of T800/5245 carbon-fibre composites: I. Constant-amplitude loading
inferredcites →https://doi.org/10.1016/0142-1123(95)99735-sopenalex-extracted
A cumulative damage model to predict the fatigue life of composite laminates including the effect of a fibre-matrix interphase
inferredcites →https://doi.org/10.1016/j.actamat.2016.09.001openalex-extracted
A physical model and constitutive equations for complete characterization of S-N fatigue behavior of metals
inferredcites →https://doi.org/10.1016/j.coco.2021.100812openalex-extracted
Fatigue life prediction of glass fiber reinforced epoxy composites using artificial neural networks
inferredcites →https://doi.org/10.1016/j.compositesa.2022.107054openalex-extracted
An experimentally validated 3D progressive fatigue damage model for fatigue life prediction of Flax-epoxy laminates
inferredcites →https://doi.org/10.1016/j.compositesb.2023.110529openalex-extracted
Benchmark test for mode I fatigue-driven delamination in GFRP composite laminates: Experimental results and simulation with the inter-laminar damage model implemented in SAMCEF
inferredcites →https://doi.org/10.1016/j.compscitech.2022.109587openalex-extracted
A reliable progressive fatigue damage model for life prediction of composite laminates incorporating an adaptive cyclic jump algorithm
inferredcites →https://doi.org/10.1016/j.compstruct.2022.115835openalex-extracted
Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network
inferredcites →https://doi.org/10.1016/j.compstruct.2023.116799openalex-extracted
Modelling fatigue behaviours and lifetimes of novel GLARE laminates under random loading spectrum
inferredcites →https://doi.org/10.1016/j.engstruct.2022.114083openalex-extracted
Predicting shear strength of FRP-reinforced concrete beams using novel synthetic data driven deep learning
inferredcites →https://doi.org/10.1016/j.ijfatigue.2008.07.002openalex-extracted
Modeling the variable amplitude fatigue of composite materials: A review and evaluation of the state of the art for spectrum loading
inferredcites →https://doi.org/10.1016/j.ijfatigue.2008.07.010openalex-extracted
A study of factors affecting life prediction of composites under spectrum loading
inferredcites →https://doi.org/10.1016/j.ijfatigue.2009.02.027openalex-extracted
A fatigue damage model of composite materials
inferredcites →https://doi.org/10.1016/j.ijfatigue.2023.107975openalex-extracted
Experimental and numerical investigation on tension–tension fatigue behavior of three-dimensional five-directional hybrid braided composites
inferredcites →https://doi.org/10.1016/j.ijmecsci.2023.108259openalex-extracted
A novel creep-fatigue life evaluation method for ceramic-composites components
inferredcites →https://doi.org/10.1016/j.jmrt.2019.09.068openalex-extracted
Recent progress of reinforcement materials: a comprehensive overview of composite materials
inferredcites →https://doi.org/10.1016/j.tafmec.2020.102499openalex-extracted
From S-N to the Paris law with a new mixed-mode cohesive fatigue model for delamination in composites
inferredcites →https://doi.org/10.1016/j.tws.2021.108568openalex-extracted
An alternative three-node triangular composite shell element in terms of Reddy-type higher-order theory
inferredcites →https://doi.org/10.1016/s0142-1123(96)00068-0openalex-extracted
Multiaxial fatigue behaviour of unidirectional plies based on uniaxial fatigue experiments—II. Experimental evaluation
inferredcites →https://doi.org/10.1016/s0142-1123(96)00074-6openalex-extracted
Multiaxial fatigue behaviour of unidirectional plies based on uniaxial fatigue experiments — I. Modelling
inferredcites →https://doi.org/10.1016/s0263-8223(00)00179-3openalex-extracted
Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks
inferredcites →https://doi.org/10.1016/s0263-8223(01)00152-0openalex-extracted
Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms
inferredcites →https://doi.org/10.1016/s0263-8223(02)00071-5openalex-extracted
Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks
inferredcites →https://doi.org/10.1016/s0263-8223(99)00093-8openalex-extracted
A new approach to fatigue analysis in composites based on residual strength degradation
inferredcites →https://doi.org/10.1016/s0266-3538(02)00261-0openalex-extracted
Prediction of fatigue damage growth in notched composite laminates using an artificial neural network
inferredcites →https://doi.org/10.1016/s0266-3538(03)00106-4openalex-extracted
Artificial neural networks applied to polymer composites: a review
inferredcites →https://doi.org/10.1016/s1359-835x(99)00027-5openalex-extracted
The use of neural networks for the prediction of fatigue lives of composite materials
inferredcites →https://doi.org/10.1023/a:1004684228765openalex-extracted
Fatigue damage mechanisms in unidirectional carbon-fibre-reinforced plastics
inferredcites →https://doi.org/10.1080/00207160.2011.627434openalex-extracted
Shape-preserving curve interpolation
inferredcites →https://doi.org/10.1080/15376494.2022.2155275openalex-extracted
Multiscale fatigue damage model for CFRP laminates considering the effect of progressive interface debonding
inferredcites →https://doi.org/10.1098/rsta.1997.0055openalex-extracted
Life–prediction for constant–stress fatigue in carbon–fibre composites
inferredcites →https://doi.org/10.1106/vver-um0w-vvj2-jgjnopenalex-extracted
Progressive Fatigue Damage Modeling of Composite Materials, Part II: Material Characterization and Model Verification
inferredcites →https://doi.org/10.1111/ffe.13640openalex-extracted
Fatigue modeling using neural networks: A comprehensive review
inferredcites →https://doi.org/10.1111/ffe.13956openalex-extracted
A numerical investigation of the interaction between interlaminar and intralaminar damages in a fatigued composite panel
inferredcites →https://doi.org/10.1177/002199830003401301openalex-extracted
Progressive Fatigue Damage Modeling of Composite Materials, Part I: Modeling
inferredcites →https://doi.org/10.1177/002199830003401302openalex-extracted
Progressive Fatigue Damage Modeling of Composite Materials, Part II: Material Characterization and Model Verification
inferredcites →https://doi.org/10.1177/0021998318773466openalex-extracted
Fatigue damage model for fibre-reinforced polymers at different temperatures considering stress ratio effects
inferredcites →https://doi.org/10.1177/00219983241236943openalex-extracted
Progressive fatigue damage modeling of laminated composites using a novel combined fatigue life model
inferredcites →https://doi.org/10.1177/002199838602000203openalex-extracted
Fatigue of Composites—Fatigue Modulus Concept and Life Prediction
inferredcites →https://doi.org/10.1177/002199839202600601openalex-extracted
Residual Stresses in a Composite with Continuously Varying Young's Modulus in the Fiber/Matrix Interphase
inferredcites →https://doi.org/10.1177/1687814019870395openalex-extracted
Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art
inferredcites →https://doi.org/10.3390/jcs2010009openalex-extracted
Predicting Fatigue Damage of Composites Using Strength Degradation and Cumulative Damage Model
inferredcites →https://doi.org/10.3390/jcs7120516openalex-extracted
Progressive Fatigue Modelling of Open-Hole Glass-Fibre Epoxy Laminates
inferredcites →https://doi.org/10.3390/polym14132662openalex-extracted
Influence of Stress Level and Fibre Volume Fraction on Fatigue Performance of Glass Fibre-Reinforced Polyester Composites

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ijfatigue.2024.108724openalex-snapshot
A microstructure sensitive machine learning-based approach for predicting fatigue life of additively manufactured parts
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