Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression

Toward quantitative fractography using convolutional neural networks

(2020) Stylianos Tsopanidis et al.   ENGINEERING FRACTURE MECHANICS

A digital twin feasibility study (Part II): Non-deterministic predictions of fatigue life using in-situ diagnostics and prognostics

(2020) Patrick E. Leser et al.   ENGINEERING FRACTURE MECHANICS

Fatigue damage effect approach by artificial neural network

(2019) Moises Jimenez-Martinez et al.   INTERNATIONAL JOURNAL OF FATIGUE

Experimental validation of an ANN model for random loading fatigue analysis

(2019) S. Ramachandra et al.   INTERNATIONAL JOURNAL OF FATIGUE

Digital twin approach for damage-tolerant mission planning under uncertainty

(2019) Pranav M. Karve et al.   ENGINEERING FRACTURE MECHANICS

Fatigue of offshore structures: A review of statistical fatigue damage assessment for stochastic loadings

(2019) Moises Jimenez-Martinez   INTERNATIONAL JOURNAL OF FATIGUE

A pattern recognition artificial neural network method for random fatigue loading life prediction

(2017) J.F. Durodola et al.   INTERNATIONAL JOURNAL OF FATIGUE

Using Nondestructive Portable X-ray Fluorescence Spectrometers on Stone, Ceramics, Metals, and Other Materials in Museums: Advantages and Limitations

(2016) Robert H. Tykot   APPLIED SPECTROSCOPY

A study on the fatigue damage model for Gaussian wideband process of two peaks by an artificial neural network

(2016) Yooil Kim et al.   OCEAN ENGINEERING

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Probabilistic fatigue damage prognosis using surrogate models trained via three-dimensional finite element analysis

(2016) Patrick E Leser et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference

(2015) Peng Chen et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields

(2015) P. Perdikaris et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Ultra low-cycle fatigue behaviour of a structural steel

(2014) J.C.R. Pereira et al.   ENGINEERING STRUCTURES

Multi-output local Gaussian process regression: Applications to uncertainty quantification

(2012) Ilias Bilionis et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Structural health monitoring of fatigue crack growth in plate structures with ultrasonic guided waves

(2012) Hwanjeong Cho et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A neural network approach to fatigue life prediction

(2010) João Carlos Figueira Pujol et al.   INTERNATIONAL JOURNAL OF FATIGUE

Distilling Free-Form Natural Laws from Experimental Data

(2009) Michael Schmidt et al.   SCIENCE

Structural Health Monitoring and Damage Prognosis in Fatigue

(2008) S.S. Kulkarni et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL