422 Subsurface Crack Growth Path and Fatigue Life Prediction due to Rolling/Sliding Contact

2007 ◽  
Vol 2007 (0) ◽  
pp. 316-317
Author(s):  
Asami MIZOGUCHI ◽  
Takahito GOSHIMA ◽  
Masayoshi SHIMIZU ◽  
Sotomi ISHIHARA
Keyword(s):  
Fatigue Life ◽  
Crack Growth ◽  
Life Prediction ◽  
Sliding Contact ◽  
Fatigue Life Prediction ◽  
Subsurface Crack ◽  
Growth Path ◽  
Crack Growth Path

scholarly journals Surface Crack Growth Path and Fatigue Life Prediction due to Repeated Rolling/Sliding Contact.

2002 ◽  
Vol 68 (672) ◽  
pp. 1198-1205
Author(s):  
Takahito GOSHIMA ◽  
Sotomi ISHIHARA ◽  
Masayoshi SHIMIZU ◽  
Hirokazu YOSHIDA ◽  
Yuji TSUCHIDA
Keyword(s):  
Fatigue Life ◽  
Crack Growth ◽  
Surface Crack ◽  
Life Prediction ◽  
Sliding Contact ◽  
Fatigue Life Prediction ◽  
Growth Path ◽  
Crack Growth Path ◽  
Surface Crack Growth

scholarly journals Surface Crack Growth Path and Fatigue Life Prediction Due to Repeated Rolling/Sliding Contact

2003 ◽  
Vol 46 (4) ◽  
pp. 582-589 ◽  
Author(s):  
Takahito GOSHIMA ◽  
Sotomi ISHIHARA ◽  
Masayoshi SHIMIZU ◽  
Hirokazu YOSHIDA ◽  
Yuji TSUCHIDA
Keyword(s):  
Fatigue Life ◽  
Crack Growth ◽  
Surface Crack ◽  
Life Prediction ◽  
Sliding Contact ◽  
Fatigue Life Prediction ◽  
Growth Path ◽  
Crack Growth Path ◽  
Surface Crack Growth

211 Surface or Subsurface Crack Growth Path and Fatigue Life due to Repeated Rolling/Sliding Contact

2009 ◽  
Vol 2009.46 (0) ◽  
pp. 59-60
Author(s):  
Asami MIZOGUCHI ◽  
Takahito GOSHIMA ◽  
Masayoshi SHIMIZU ◽  
Sotomi ISHIHARA
Keyword(s):  
Fatigue Life ◽  
Crack Growth ◽  
Sliding Contact ◽  
Subsurface Crack ◽  
Growth Path ◽  
Crack Growth Path

Adaptive Neural Network Modelling in Fatigue life Prediction under Load History effects

2011 ◽  
Vol 284-286 ◽  
pp. 1266-1270
Author(s):  
M. Abdul Razzaq ◽  
Kamal A. Ariffin ◽  
Ahmed El Shafie ◽  
Shahrum Abdullah ◽  
Z. Sajuri ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Crack Growth ◽  
Life Prediction ◽  
Experimental Tests ◽  
Fatigue Life Prediction ◽  
Load History ◽  
Adaptive Neural Network ◽  
Network Modelling ◽  
History Effects ◽  
Point Bend

Artificial intelligence (AI) techniques and in particular, adaptive neural networks (ANN) have been commonly used in order to Fatigue life prediction. The aim of this paper is to consider a new crack propagation principle based on simulating experimental tests on three point-bend (TPB) specimens, which allow predicting the fatigue life and fatigue crack growth rate (FCGR). An important part of this paper is estimation of FCG rate related to different load histories. The effects of different load histories on the crack growth life are obtained in different representative simulation and experiments.

scholarly journals Recent Developments on the Unified Fatigue Life Prediction Method Based on Fracture Mechanics and its Applications

2020 ◽  
Vol 8 (6) ◽  
pp. 427 ◽  
Author(s):  
Fang Wang ◽  
Weicheng Cui
Keyword(s):  
Fatigue Life ◽  
Fracture Mechanics ◽  
Crack Growth ◽  
Life Prediction ◽  
Structural Reliability ◽  
Influential Factors ◽  
Fatigue Life Prediction ◽  
Model Parameters ◽  
Sensitivity Index ◽  
Marine Structure

Safety analysis and prediction of a marine structure is of great concern by many stakeholders and the general public. In order to accurately predict the structural reliability of an in-use marine structure, one needs to calculate accurately the fatigue crack growth at any service time. This can only be possible by using fracture mechanics approach and the core of fracture-mechanics-based method is to establish an accurate crack growth rate model which must include all the influential factors of the same order of sensitivity index. In 2011, based on the analysis of various influencing factors, the authors put forward a unified fatigue life prediction (UFLP) method for marine structures. In the following ten years of research, some further improvements of this method have been made and the applications of this UFLP are carried out. In this paper, these progresses are reported and its underlying principles are further elaborated. Some basic test data used to determine model parameters are also provided.

scholarly journals Fatigue Life Prediction Based on Crack Growth Analysis Using an Equivalent Initial Flaw Size Model: Application to a Notched Geometry

2015 ◽  
Vol 114 ◽  
pp. 730-737 ◽  
Author(s):  
A.S.F. Alves ◽  
L.M.C.M.V. Sampayo ◽  
J.A.F.O. Correia ◽  
A.M.P. De Jesus ◽  
P.M.G.P. Moreira ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Crack Growth ◽  
Life Prediction ◽  
Growth Analysis ◽  
Flaw Size ◽  
Fatigue Life Prediction ◽  
Model Application ◽  
Size Model
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