相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Effects of the reinforcement ratio and chloride corrosion on the fatigue behavior of RC beams
Jieqiong Wu et al.
INTERNATIONAL JOURNAL OF FATIGUE (2020)
Lifetime distribution selection for complete and censored multi-level testing data and its influence on probability of failure estimates
Jingjing He et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction
Houpu Yao et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Uncertainty quantification of fatigue S-N curves with sparse data using hierarchical Bayesian data augmentation
Jie Chen et al.
INTERNATIONAL JOURNAL OF FATIGUE (2020)
Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning
Giacomo Capizzi et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network
Joelton Fonseca Barbosa et al.
INTERNATIONAL JOURNAL OF FATIGUE (2020)
Corrosion Fatigue Crack Propagation Mechanism of High-Strength Steel Bar in Various Environments
Guo Zhongzhao et al.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2020)
Probabilistic Life Prediction for Reinforced Concrete Structures Subjected to Seasonal Corrosion-Fatigue Damage
Yafei Ma et al.
JOURNAL OF STRUCTURAL ENGINEERING (2020)
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
Seckin Karasu et al.
ENERGY (2020)
Structural dynamics simulation using a novel physics-guided machine learning method
Yang Yu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Piecewise stochastic rainflow counting for probabilistic linear and nonlinear damage accumulation considering loading and material uncertainties
Jie Chen et al.
INTERNATIONAL JOURNAL OF FATIGUE (2020)
Aircraft dynamics simulation using a novel physics-based learning method
Yang Yu et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2019)
Effects of pre-fatigue damage on high-cycle fatigue behavior and chloride permeability of RC beams
Jieqiong Wu et al.
INTERNATIONAL JOURNAL OF FATIGUE (2019)
Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biologica biomedical, and behavioral sciences
Mark Alber et al.
NPJ DIGITAL MEDICINE (2019)
Small lung nodules detection based on local variance analysis and probabilistic neural network
Marcin Wozniak et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
Jie Chen et al.
INTERNATIONAL JOURNAL OF FATIGUE (2018)
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
Estimation of fatigue S-N curves of welded joints using advanced probabilistic approach
Luca D'Angelo et al.
INTERNATIONAL JOURNAL OF FATIGUE (2017)
Fitting fatigue test data with a novel S-N curve using frequentist and Bayesian inference
Davide Leonetti et al.
INTERNATIONAL JOURNAL OF FATIGUE (2017)
Artificial neural network approach for locating internal faults in salient-pole synchronous generator
Hamid Yaghobi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
A neural network approach to fatigue life prediction
Joao Carlos Figueira Pujol et al.
INTERNATIONAL JOURNAL OF FATIGUE (2011)
Automatic thesaurus construction for spam filtering using revised back propagation neural network
Hao Xu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Efficient Methods for Time-Dependent Fatigue Reliability Analysis
Yongming Liu et al.
AIAA JOURNAL (2009)
An expert system for fatigue life prediction under variable loading
Young-Hoon Kim et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Machine and component residual life estimation through the application of neural networks
M. A. Herzog et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2009)
Expert system for remnant life prediction of defected components under fatigue and creep-fatigue loadings
Xiao Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
Fatigue of 7075-T651 aluminum alloy
Tianwen Zhao et al.
INTERNATIONAL JOURNAL OF FATIGUE (2008)
Multiaxial fatigue reliability analysis of railroad wheels
Yongming Liu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2008)
Artificial neural networks in spectrum fatigue life prediction of composite materials
Anastasios P. Vassiopoulos et al.
INTERNATIONAL JOURNAL OF FATIGUE (2007)
The random fatigue-limit model in multi-factor experiments
FG Pascual
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2003)