An analytical life prediction model for the crack propagation occuring in contact fatigue failureHanson, M.T. and Keer, L.M. Tribology Trans. July 1992 35, (3), 451–461

1993 ◽  
Vol 15 (4) ◽  
pp. 347-347
Keyword(s):  
Crack Propagation ◽  
Prediction Model ◽  
Life Prediction ◽  
Contact Fatigue ◽  
Life Prediction Model

A LIFE PREDICTION MODEL OF THERMAL BARRIER COATINGS

2010 ◽  
Vol 24 (15n16) ◽  
pp. 3161-3166 ◽  
Author(s):  
LIYONG NI ◽  
CHAO LIU ◽  
CHUNGEN ZHOU
Keyword(s):  
Crack Propagation ◽  
Prediction Model ◽  
Thermal Barrier Coatings ◽  
Life Prediction ◽  
Crack Propagation Rate ◽  
Thermal Barrier ◽  
Critical Crack ◽  
Critical Crack Length ◽  
Barrier Coatings ◽  
Life Prediction Model

The durability and reliability of thermal barrier coatings(TBCs) have become a major concern of hot-section components due to lack of a reliable life prediction model. In this paper, it is found that the failure location of TBCs is at the TBC/TGO interface by a sequence of crack propagation and coalescence process. The critical crack length of failure samples is 8.8mm. The crack propagation rate is 3-10µm/cycle at the beginning and increases largely to 40µm/cycle near coating failure. A life prediction model based a simple fracture mechanics approach is proposed.

scholarly journals Life Prediction of Phosphor Bronze Reinforcing Tape Used in Underground Power Cables

CORROSION ◽  
10.5006/2627 ◽  
2017 ◽  
Vol 74 (5) ◽  
pp. 530-542 ◽  
Author(s):  
Hang Zhou ◽  
Sivashangari Gnanasambandam ◽  
Maurizio Foresta ◽  
Fan Li ◽  
Michelle Le Blanc ◽  
...  
Keyword(s):  
Crack Propagation ◽  
Prediction Model ◽  
Pitting Corrosion ◽  
Life Prediction ◽  
Probability Function ◽  
Load Condition ◽  
Cyclic Fatigue ◽  
Time To Failure ◽  
Transfer Probability ◽  
Life Prediction Model

Phosphor bronze tape is a key protection component of underground power transmission cables. During the service life, it is affected by both corrosion and fatigue effects, leading to the failure of material and eventually the failure of cables. In the present work, the combined effect on the cable failure is studied in five stages: pit initiation, pitting corrosion control, pit-crack transfer, crack propagation control, and material failure. The cable time to failure is defined as the time needed for a corrosion pit on the tape surface to transfer into a crack resulting from a cyclic fatigue load condition. The pit-crack transfer is described statistically by a pitting corrosion to crack propagation transfer probability function. The result shows that a life prediction model can convey the long-term data of cables and can predict the years of failure. Subsequently, the life prediction model is extended and tested to include crack transfer probability function.

scholarly journals Life Prediction Model of Mineral Admixture Cement Based-Materials under Early Age CO2-Erosion

Coatings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 413
Author(s):  
Saisai Wang ◽  
Jian Chen ◽  
Xiaodong Wen
Keyword(s):  
Prediction Model ◽  
Life Prediction ◽  
Experimental Tests ◽  
Mineral Admixture ◽  
Model Parameters ◽  
Influence Coefficient ◽  
Test Pieces ◽  
Cement Based Materials ◽  
Particle Group ◽  
Life Prediction Model

Most of the existing models of structural life prediction in early carbonized environment are based on accelerated erosion after standard 28 days of cement-based materials, while cement-based materials in actual engineering are often exposed to air too early. These result in large predictions of the life expectancy of mineral-admixture cement-based materials under early CO2-erosion and affecting the safe use of structures. To this end, different types of mineral doped cement-based material test pieces are formed, and early CO2-erosion experimental tests are carried out. On the basis of the analysis of the existing model, the influence coefficient of CO2-erosion of the mineral admixture Km is introduced, the relevant function is given, and the life prediction model of the mineral admixture cement-based material under the early CO2-erosion is established and the model parameters are determined by using the particle group algorithm (PSO). It has good engineering applicability and guiding significance.

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