Fatigue life prediction of rubber-sleeved stud shear connectors under shear load based on finite element simulation

2021 ◽  
Vol 227 ◽  
pp. 111449
Author(s):  
Xiaoqing Xu ◽  
Xuhong Zhou ◽  
Yuqing Liu
Keyword(s):  
Finite Element ◽  
Fatigue Life ◽  
Finite Element Simulation ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Shear Load ◽  
Shear Connectors ◽  
Element Simulation

Application of Artificial Neural Network for Fatigue Life Prediction

2005 ◽  
Vol 297-300 ◽  
pp. 96-101
Author(s):  
Ishak Abdul Azid ◽  
Lee Kor Oon ◽  
Ong Kang Eu ◽  
K.N. Seetharamu ◽  
Ghulam Abdul Quadir
Keyword(s):  
Neural Network ◽  
Finite Element ◽  
Fatigue Life ◽  
Solder Joint ◽  
Finite Element Simulation ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Element Simulation ◽  
Parametric Studies ◽  
Solder Joint Fatigue

An extensively published and correlated solder joint fatigue life prediction methodology is incorporated by which finite element simulation results are translated into estimated cycles to failure. This study discusses the analysis methodologies as implemented in the ANSYSTM finite element simulation software tool. Finite element models are used to study the effect of temperature cycles on the solder joints of a flip chip ball grid array package. Through finite element simulation, the plastic work or the strain-energy density of the solder joints are determined. Using an established methodology, the plastic work obtained through simulation is translated into solder joint fatigue life [1]. The corresponding results for the solder joint fatigue life are used for parametric studies. Artificial Neural Network (ANN) has been used to consolidate the parametric studies.

Accelerated multiscale space–time finite element simulation and application to high cycle fatigue life prediction

2016 ◽  
Vol 58 (2) ◽  
pp. 329-349 ◽  
Author(s):  
Rui Zhang ◽  
Lihua Wen ◽  
Sam Naboulsi ◽  
Thomas Eason ◽  
Vijay K. Vasudevan ◽  
...  
Keyword(s):  
Finite Element ◽  
Fatigue Life ◽  
Finite Element Simulation ◽  
Life Prediction ◽  
High Cycle Fatigue ◽  
Space Time ◽  
Fatigue Life Prediction ◽  
Cycle Fatigue ◽  
Element Simulation

The Study on Airborne Equipments Life Prediction Based on the Finite Element Simulation under Comprehensive Stress

2013 ◽  
Vol 365-366 ◽  
pp. 224-228
Author(s):  
Tian Ma ◽  
Chuan Ri Li ◽  
Shuang Long Rong
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Life Prediction ◽  
Single Point ◽  
Simulation Method ◽  
Distribution Fitting ◽  
Kinetic Experiment ◽  
Element Simulation ◽  
Vibration Stress ◽  
Equipment Lifetime

To predict an airborne equipment lifetime with finite element simulation method, use ANSYS and Flothem, respectively, to analysis vibration stress and temperature stress, corrected by kinetic experiment; then import the results into the failure prediction software-CALCE PWA, set the intensity and duration of stress according to its mission profile, finally get the component failure life prediction results under comprehensive temperature and vibration stress; extract the Monte-Carlo simulation data, use the single point of failure distribution fitting, fault clustering and multipoint distribution fusion method to get the board and the whole machines lifetime and reliability prediction. The design refinement suggestion of the airborne equipment is given at the end of the conclusion.

TTK Chitra tilting disc heart valve model TC2: An assessment of fatigue life and durability

2017 ◽  
Vol 231 (8) ◽  
pp. 758-765 ◽  
Author(s):  
NN Subhash ◽  
Adathala Rajeev ◽  
Sreedharan Sujesh ◽  
CV Muraleedharan
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Fatigue Life ◽  
Heart Valve ◽  
Life Prediction ◽  
Heart Valves ◽  
Failure Modes ◽  
Fatigue Life Prediction ◽  
Element Analysis ◽  
Valve Model

Average age group of heart valve replacement in India and most of the Third World countries is below 30 years. Hence, the valve for such patients need to be designed to have a service life of 50 years or more which corresponds to 2000 million cycles of operation. The purpose of this study was to assess the structural performance of the TTK Chitra tilting disc heart valve model TC2 and thereby address its durability. The TC2 model tilting disc heart valves were assessed to evaluate the risks connected with potential structural failure modes. To be more specific, the studies covered the finite element analysis–based fatigue life prediction and accelerated durability testing of the tilting disc heart valves for nine different valve sizes. First, finite element analysis–based fatigue life prediction showed that all nine valve sizes were in the infinite life region. Second, accelerated durability test showed that all nine valve sizes remained functional for 400 million cycles under experimental conditions. The study ensures the continued function of TC2 model tilting disc heart valves over duration in excess of 50 years. The results imply that the TC2 model valve designs are structurally safe, reliable and durable.

Influence of Vehicle Velocity and Wheelbase on Washboard Enhancement Coefficient

2014 ◽  
Vol 875-877 ◽  
pp. 1116-1120
Author(s):  
Wen Liang Li ◽  
Wei Zhou ◽  
Li Gao ◽  
Wei Liang Dai
Keyword(s):  
Finite Element ◽  
Fatigue Life ◽  
Finite Element Simulation ◽  
Simulation Method ◽  
Element Simulation ◽  
Vehicle Velocity ◽  
Study Results

With finite element simulation method, the fatigue life of vehicle front floor is analyzed in different vehicle wheelbases and velocities, and the washboard enhancement coefficient is calculated, then K-v curve, K-m curve and K-v-m surface are drawn, with which influence of vehicle velocity and wheelbase on washboard enhancement coefficient is studied. The study results show that, when the wheelbase is constant, washboard enhancement coefficient increases first and then decreases with velocity increasing, and reaches peak at a certain velocity; when velocity is constant, washboard enhancement coefficient decreases as wheelbase increasing; when velocity and wheelbase both changes, washboard enhancement coefficient varies in K-v-m surface.

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