Powered by Engineering Brain, Japan | What is PKV? | PKV Methodology | KnowledgeRank v6.0.0: Earn Points for Reviews and Feature Your Paper in the Rankings

International Journal of Fatigue - Volume 176 / Issue None

Title
Authors Volume Issue Page Year PKV
A new method for ultrasonic fatigue component frequency modulation: From ultrasonic horn to uniaxial and multiaxial specimens
Pedro R. da Costa, Masoud Rahaeifard, Diogo Montalvão, Luís Reis, Manuel Freitas 176 None 107887–None 2023 40.53
Average Rating: 0.0 / 5 (0 Reviews)
Assessment of corrosion fatigue in welded joints using 3D surface scans, digital image correlation, hardness measurements, and residual stress analysis
Sulaiman Shojai, Tim Brömer, Elyas Ghafoori, Christian Woitzik, Peter Schaumann 176 None 107866–None 2023 30.84
Average Rating: 0.0 / 5 (0 Reviews)
Low cycle fatigue behavior of additively manufactured Haynes 282: Effect of post-processing and test temperature
Nabeel Ahmad, Reza Ghiaasiaan, Paul R. Gradl, Shuai Shao, Nima Shamsaei 176 None 107880–None 2023 29.94
Average Rating: 0.0 / 5 (0 Reviews)
System-level creep-fatigue reliability evaluation by engineering damage mechanics incorporating cumulative damage-damage threshold interference
Hang-Hang Gu, Run-Zi Wang, Kun-Zhang, Ji Wang, Shan-Tung Tu 176 None 107768–None 2023 28.48
Average Rating: 0.0 / 5 (0 Reviews)
Fatigue life prediction of topologically optimized torque link adjusted for additive manufacturing
N. Raičević, A. Grbović, G. Kastratović, N. Vidanović, A. Sedmak 176 None 107907–None 2023 28.0
Average Rating: 0.0 / 5 (0 Reviews)
The role of size and volume fraction of carbides on hydrogen embrittlement and white etching areas formation in bearing steel under dynamic loading
Ashutosh Panda, Linto Davis, P. Ramkumar, M. Amirthalingam 176 None 107837–None 2023 24.52
Average Rating: 0.0 / 5 (0 Reviews)
Probabilistic fatigue damage modelling
José A.F.O. Correia, Sabrina Vantadori, Filippo Berto, Shun-Peng Zhu, Peter Huffman 176 None 107889–None 2023 23.27
Average Rating: 0.0 / 5 (0 Reviews)
Effect of sample size on the maximum value distribution of fatigue driving forces in metals and alloys
Mohammadreza Yaghoobi, Krzysztof S Stopka, David L McDowell, Lori Graham-Brady, Kirubel Teferra 176 None 107853–None 2023 22.8
Average Rating: 0.0 / 5 (0 Reviews)
A deep neural network approach combined with Findley parameter to predict fretting fatigue crack initiation lifetime
Sutao Han, Can Wang, Samir Khatir, Yong Ling, Magd Abdel Wahab 176 None 107891–None 2023 22.02
Average Rating: 0.0 / 5 (0 Reviews)
Fatigue life prediction of Ti60 titanium alloy under very high cycle loading at different temperatures
Chao-Lin Chen, De-Guang Shang, Na-Min Xiao, Xing-Wu Li, Dao-Hang Li 176 None 107838–None 2023 21.86
Average Rating: 0.0 / 5 (0 Reviews)