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Fatigue Life Prediction and Modeling of Elastomeric Components

ZARRIN GHALAMI, TOUHID
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1367411090

Abstract Details

2013, Doctor of Philosophy in Engineering, University of Toledo, College of Engineering.
This study investigates constitutive behavior, material properties and fatigue damage under constant and variable amplitude uniaxial and multiaxial loading conditions, with the goal of developing CAE analytical techniques for durability and life prediction of elastomeric components. Such techniques involve various topics including material monotonic and cyclic deformation behaviors, proper knowledge of stress/strain histories, fatigue damage quantification parameters, efficient event identification methods, and damage accumulation rules. Elastomeric components are widely used in many applications, including automobiles due to their good damping and energy absorption characteristics. The type of loading normally encountered by these components in service is variable amplitude cyclic loading. Therefore, fatigue failure is a major consideration in their design and availability of an effective technique to predict fatigue life under complex loading is very valuable to the design procedure. In this work a fatigue life prediction methodology for rubber components is developed which is then verified by means of analysis and testing of an automobile cradle mount made of filled natural rubber. The methodology was validated with component testing under different loading conditions including constant and variable amplitude in-phase and out-of-phase axial-torsion experiments. The analysis conducted includes constitutive behavior representation of the material, finite element analysis of the component, and a fatigue damage parameter for life predictions. In addition, capabilities of Rainflow cycle counting procedure and Miner’s linear cumulative damage rule are evaluated. Fatigue characterization typically includes both crack nucleation and crack growth. Therefore, relevant material deformation and fatigue properties are obtained from experiments conducted under stress states of simple tension and planar tension. For component life predictions, both fatigue crack initiation approach as well as fatigue crack growth approach based on fracture mechanics are presented. Crack initiation life prediction was performed using different damage criteria. The optimum method for crack initiation life prediction for complex multiaxial variable amplitude loading was found to be a critical plane approach based on maximum normal strain plane and damage quantification by cracking energy density on that plane. The fracture mechanics approach was used for total fatigue life prediction of the component based on specimen crack growth data and FE simulation results. Total fatigue life prediction results showed good agreement with experiments for all of the loading conditions considered.
Ali Fatemi (Advisor)
Yong Gan (Committee Member)
Mehdi Pourazady (Committee Member)
Efstratios Nikolaidis (Committee Member)
Vijay Goel (Committee Member)
173 p.
Mechanical Engineering

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Citations

  • ZARRIN GHALAMI, T. (2013). Fatigue Life Prediction and Modeling of Elastomeric Components [Doctoral dissertation, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1367411090

    APA Style (7th edition)

  • ZARRIN GHALAMI, TOUHID. Fatigue Life Prediction and Modeling of Elastomeric Components. 2013. University of Toledo, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1367411090.

    MLA Style (8th edition)

  • ZARRIN GHALAMI, TOUHID. "Fatigue Life Prediction and Modeling of Elastomeric Components." Doctoral dissertation, University of Toledo, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1367411090

    Chicago Manual of Style (17th edition)

toledo1367411090
6,432
© 2013, some rights reserved.Creative Commons License Fatigue Life Prediction and Modeling of Elastomeric Components by TOUHID ZARRIN GHALAMI is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Toledo and OhioLINK.