Asphalt Mixture Fatigue Life Prediction Model Based on Neural Network

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Chuanqi Yan ◽  
Rui Gao ◽  
Weidong Huang
Keyword(s):  
Neural Network ◽  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Asphalt Mixture ◽  
Fatigue Life Prediction ◽  
Model Based ◽  
Life Prediction Model

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

Metals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 180 ◽  
Author(s):  
Jialiang Wang ◽  
Dasheng Wei ◽  
Yanrong Wang ◽  
Xianghua Jiang
Keyword(s):  
Shear Stress ◽  
Fatigue Life ◽  
Prediction Model ◽  
Single Crystal ◽  
Life Prediction ◽  
Stress Amplitude ◽  
Damage Parameter ◽  
Fatigue Life Prediction ◽  
Model Based ◽  
Life Prediction Model

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. A nickel-based single crystal fatigue life prediction model based on modified resolved shear stress amplitude was proposed. For the four groups of fatigue data, eight classical fatigue life prediction models were compared with the model proposed in this paper. Strain parameter is poor in fatigue life prediction as a damage parameter. The life prediction results of the fatigue life prediction model with stress amplitude as the damage parameter, the fatigue life prediction model with maximum resolved shear stress in 30 slip directions as the damage parameter, and the McDiarmid (McD) model, are better. The model proposed in this paper has higher life prediction accuracy.

Drillpipe Fatigue Life Prediction Model Based On Critical Plane Approaches

1994 ◽  
Author(s):  
J.C.R. Plácido ◽  
J.J. Azar ◽  
J.R. Sorem ◽  
Franz Kessler ◽  
S.M. Tipton
Keyword(s):  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Critical Plane ◽  
Model Based ◽  
Life Prediction Model

Normalized creep–fatigue life prediction model based on the energy dissipation during hold time

2007 ◽  
Vol 460-461 ◽  
pp. 195-203 ◽  
Author(s):  
Chang Yeol Jeong ◽  
Jung-Chan Bae ◽  
Chang-Seog Kang ◽  
Jae-Ik Cho ◽  
Hyeon-Taek Son
Keyword(s):  
Fatigue Life ◽  
Energy Dissipation ◽  
Prediction Model ◽  
Life Prediction ◽  
Hold Time ◽  
Fatigue Life Prediction ◽  
Model Based ◽  
Creep Fatigue ◽  
Life Prediction Model

scholarly journals Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Materials ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3325 ◽  
Author(s):  
Jiang Yuan ◽  
Songtao Lv ◽  
Xinghai Peng ◽  
Lingyun You ◽  
Milkos Borges Cabrera
Keyword(s):  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Goodness Of Fit ◽  
Loading Rate ◽  
Asphalt Mixture ◽  
Fatigue Life Prediction ◽  
Pavement Structure ◽  
Fatigue Equation ◽  
Life Prediction Model

Strength and fatigue life are essential parameters of pavement structure design. To accurately determine the pavement structure resistance of rubber asphalt mixture, the strength tests at various temperatures, loading rate, and fatigue tests at different stress levels were conducted in this research. Based on the proposed experiments, the change law of rubber asphalt mixture strength with different temperatures and loading rates was revealed. The phenomenological fatigue equation of rubber asphalt mixture was established. The genetic algorithm optimized backpropagation neural network (GA-BPNN) is highly reliable for optimizing production processes in civil engineering, and it has a remarkable application effect. A GA-BPNN strength and fatigue life prediction model was created in this study. The reliability of the prediction model was verified through experiments. The results showed that the rubber asphalt mixture strength decreases and increases with the increase of temperature and loading rate, respectively. The goodness of fit of the rubber asphalt mixture strength and fatigue life prediction model based on the GA-BPNN could reach 0.989 and 0.998, respectively. The indicators of the fatigue life prediction model are superior to the conventional phenomenological fatigue equation model. The GA-BPNN provides an effective method for predicting the rubber asphalt mixture strength and fatigue life, which significantly improves the accuracy of the resistance design of the rubber asphalt pavement structure.

Fatigue Life Prediction of Buckling String with Cracks in Horizontal Wells of Mining Engineering

2012 ◽  
Vol 577 ◽  
pp. 127-131 ◽  
Author(s):  
Peng Wang ◽  
Tie Yan ◽  
Xue Liang Bi ◽  
Shi Hui Sun
Keyword(s):  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Horizontal Well ◽  
Drill Pipe ◽  
Prediction Method ◽  
Drill String ◽  
Fatigue Life Prediction ◽  
Mining Engineering ◽  
Life Prediction Model

Fatigue damage in the rotating drill pipe in the horizontal well of mining engineering is usually resulted from cyclic bending stresses caused by the rotation of the pipe especially when it is passing through curved sections or horizontal sections. This paper studies fatigue life prediction method of rotating drill pipe which is considering initial crack in horizontal well of mining engineering. Forman fatigue life prediction model which considering stress ratio is used to predict drill string fatigue life and the corresponding software has been written. The program can be used to calculate the stress of down hole assembly, can predict stress and alternating load in the process of rotating-on bottom. Therefore, establishing buckling string fatigue life prediction model with cracks can be a good reference to both operation and monitor of the drill pipe for mining engineering.

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