Curved fatigue crack growth prediction under variable amplitude loading by artificial neural network
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Curved fatigue crack growth prediction under variable amplitude loading by artificial neural network
Authors
Keywords
Curved fatigue crack growth, Cyclic variable amplitude loading, Uncertainty of initial conditions, Numerical simulation, Artificial neural network
Journal
INTERNATIONAL JOURNAL OF FATIGUE
Volume 142, Issue -, Pages 105886
Publisher
Elsevier BV
Online
2020-08-15
DOI
10.1016/j.ijfatigue.2020.105886
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fatigue-crack growth in two aluminum alloys and crack-closure analyses under constant-amplitude and spectrum loading
- (2019) J.C. Newman et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- An experimental-finite element method based on beach marks to determine fatigue crack growth rate in thick plates with varying stress states
- (2018) Jingxia Yue et al. ENGINEERING FRACTURE MECHANICS
- Total fatigue lives, crack growth paths and cycles in cold expanded adjacent holes
- (2018) Rahman Seifi INTERNATIONAL JOURNAL OF FATIGUE
- Crack path and life prediction under mixed mode cyclic variable amplitude loading through XFEM
- (2018) Haydar Dirik et al. INTERNATIONAL JOURNAL OF FATIGUE
- Three-dimensional analysis of an edge crack in a plate of finite thickness with the first-order plate theory
- (2018) Aditya Khanna et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- Plastic strain gradients and transient fatigue crack growth: A computational study
- (2018) Joshua D. Pribe et al. INTERNATIONAL JOURNAL OF FATIGUE
- Load interaction effects in propagation lifetime and inspections of railway axles
- (2016) S. Beretta et al. INTERNATIONAL JOURNAL OF FATIGUE
- Estimations of fatigue life and variability under random loading in aluminum Al-2024T351 using strip yield models from NASGRO
- (2016) B. Moreno et al. INTERNATIONAL JOURNAL OF FATIGUE
- An Artificial Neural Network-Based Algorithm for Evaluation of Fatigue Crack Propagation Considering Nonlinear Damage Accumulation
- (2016) Wei Zhang et al. Materials
- Probabilistic life assessment on fatigue crack growth in mixed-mode by coupling of Kriging model and finite element analysis
- (2015) Wentao He et al. ENGINEERING FRACTURE MECHANICS
- Mixed mode crack growth simulation with/without overloads
- (2013) Slobodanka Boljanović et al. INTERNATIONAL JOURNAL OF FATIGUE
- An equivalent thickness conception for prediction of surface fatigue crack growth life and shape evolution
- (2012) Peishi Yu et al. ENGINEERING FRACTURE MECHANICS
- Comparison of three artificial neural network approaches for estimating of slake durability index
- (2012) Yuksel Tasdemir et al. Environmental Earth Sciences
- Fatigue crack growth prediction models for metallic materials Part II: Strip yield model - choices and decisions
- (2012) T. MACHNIEWICZ FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
- Prediction of activated sludge bulking based on a self-organizing RBF neural network
- (2012) Hong-Gui Han et al. JOURNAL OF PROCESS CONTROL
- Short-Term Multinodal Load Forecasting Using a Modified General Regression Neural Network
- (2011) Kenji Nose-Filho et al. IEEE TRANSACTIONS ON POWER DELIVERY
- Stress intensity factor analysis of through thickness effects
- (2011) J. Garcia-Manrique et al. INTERNATIONAL JOURNAL OF FATIGUE
- Random fatigue crack growth in mixed mode by stochastic collocation method
- (2010) H. Riahi et al. ENGINEERING FRACTURE MECHANICS
- Abaqus implementation of extended finite element method using a level set representation for three-dimensional fatigue crack growth and life predictions
- (2010) Jianxu Shi et al. ENGINEERING FRACTURE MECHANICS
- An approximation for the cyclic state of stress ahead of cracks and its implications under fatigue crack growth
- (2010) M. Madia et al. ENGINEERING FRACTURE MECHANICS
- FPGA implementation of a General Regression Neural Network: An embedded pattern classification system
- (2009) Övünç Polat et al. DIGITAL SIGNAL PROCESSING
- Prediction of residual fatigue life under interspersed mixed-mode (I and II) overloads by Artificial Neural Network
- (2009) J. R. MOHANTY et al. FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
- Some aspects about the crack growth FEM simulations under mixed-mode loading
- (2009) J.M. Alegre et al. INTERNATIONAL JOURNAL OF FATIGUE
- RBF Neural Network and ANFIS-Based Short-Term Load Forecasting Approach in Real-Time Price Environment
- (2008) Zhang Yun et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- An engineering model of fatigue crack growth under variable amplitude loading
- (2007) X HUANG et al. INTERNATIONAL JOURNAL OF FATIGUE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now