Results 11 to 20 of about 220,973 (311)

Residual fatigue life prediction based on a novel improved Manson-Halford model considering loading interaction effect [PDF]

Heliyon
The classical nonlinear fatigue cumulative damage model Manson-Halford is widely used in fatigue life analysis and prediction, but this model lacks consideration for the effects of load interaction.
Panglun Liu, Jie Zhang, Haihong Tang, Heng Duan, Bingyan Jiang   +4 more
doaj   +2 more sources

Research on low cycle fatigue life prediction considering average strain

Materials Research Express, 2022
To address the difficult problems in the study of the effect of average strain on fatigue life under low-cycle fatigue loads, the effect of average strain on the low-cycle fatigue life of materials under different strain cycle ratios was discussed based ...
Yan Peng, Yang Liu, Haoran Li, Jiankang Xing   +3 more
doaj   +1 more source

Fatigue life prediction of 3D braided carbon/carbon composites with braided angle variation at elevated temperature

Journal of Engineered Fibers and Fabrics, 2023
The braiding angle of 3D braided carbon/carbon composites (C/CCs) will change during high temperature fatigue loading, which will affect the fatigue properties of 3D braided C/CCs.
Xinglin Yang, Shengyu Zhang, Bo Chen, Bingjie Ma, Xue Xing   +4 more
doaj   +1 more source

A Fatigue Life Prediction Model Based on Modified Resolved Shear Stress for Nickel-Based Single Crystal Superalloys

Metals, 2019
In this paper, the viewpoint that maximum resolved shear stress corresponding to the two slip systems in a nickel-based single crystal high-temperature fatigue experiment works together was put forward.
Jialiang Wang, Dasheng Wei, Yanrong Wang, Xianghua Jiang   +3 more
doaj   +1 more source

Interconnect fatigue design for terrestrial photovoltaic modules [PDF]

, 1982
The results of comprehensive investigation of interconnect fatigue that has led to the definition of useful reliability-design and life-prediction algorithms are presented.
Mon, G. R., Moore, D. M., Ross, R. G., Jr.   +2 more
core   +2 more sources

Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network

Materials Research Express, 2022
The low cycle fatigue life of 304 stainless steel is an essential basis for safety assessment. Usually, there is a complex nonlinear relationship between fatigue life and influencing factors, which is difficult to be predicted by traditional fatigue life
Mengjie Cao, Hongyan Duan, Hong He, Yang Liu, Shunqiang Yue, Zengwang Zhang, Yingjian Zhao   +6 more
doaj   +1 more source

Fatigue Design of Steel Bridge Deck Asphalt Pavement Based on Nonlinear Damage Accumulation Theory

Applied Sciences, 2021
Based on the nonlinear damage theory, this paper aims to explore the fatigue performance of steel bridge deck asphalt pavement under multistage fatigue load.
Xunqian Xu, Yu Li, Wei Huang, Dakai Chen, Chen Zhang, Wenkang Shi   +5 more
doaj   +1 more source

Fatigue Crack Growth Life Prediction of 6061 Al-Alloy under Load Ratio Effect by Using ANFIS [PDF]

, 2016
Fatigue crack growth under constant amplitude loading for a particular material strongly depends on load ratio (R). The prediction of fatigue crack growth life under such situation through deterministic approach is a tedious task.
Mohanty, J. R. (J)
core   +1 more source

Research Progress of Microporosity Characteristics in Casting and Their Effects on Fatigue Life

Hangkong gongcheng jinzhan, 2019
Microporosities in casting alloys cannot be avoided in the casting process, which reduces the fatigue life of structure greatly.The current progress of microprosity characteristics(size, shape and position)in casting alloys and their effects on fatigue ...
Jiang Wen, Yao Weixing, Wang Yingyu
doaj   +1 more source

Isothermal and Thermo-Mechanical Fatigue Life Prediction Using the Total Strain Energy Density-Based Approach

Engineering Proceedings, 2023
Accurate fatigue life prediction is essential for ensuring the reliability of engineering designs, particularly under thermo-mechanical fatigue conditions.
Ikram Abarkan
doaj   +1 more source