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Integrated Multiaxial Experimentation and Constitutive Modeling

Phillips, Peter Louis

Abstract Details

2017, Doctor of Philosophy (Ph.D.), University of Dayton, Mechanical Engineering.
Modern plasticity models contain numerous parameters that no longer correlate directly to measurements, leading to a lack of uniqueness during parameter identification. This problem is exacerbated when using only uniaxial test data to populate a three-dimensional model. Parameter identification typically is performed after all experiments are completed, and experiments using different loading conditions are seldom conducted for validation. Experimental techniques and computational methods for parameter identification are sufficiently advanced to permit real-time integration of these processes. This work develops a methodology for integrating multiaxial experimentation with constitutive parameter calibration and validation. The integrated strategy provides a closed-loop autonomous experimental approach to parameter identification. A continuous identification process guides the experiment to improve correlation across the entire axial-torsional test domain. Upon completion of the interactive test, constitutive parameters are available immediately for use in finite element simulations of more complex geometries. The autonomous methodology is demonstrated through both analytical and physical experiments on Ti-6Al-4V. The proposed approach defines a framework for parameter identification based on complete coverage of the stress and strain spaces of interest, thereby providing greater model fidelity for simulations involving multiaxial stress states and cyclic loading.
Robert Brockman (Advisor)
Steven Donaldson (Committee Member)
Thomas Whitney (Committee Member)
Andrew Rosenberger (Committee Member)
Reji John (Committee Member)
293 p.

Recommended Citations

Citations

  • Phillips, P. L. (2017). Integrated Multiaxial Experimentation and Constitutive Modeling [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1492598070791388

    APA Style (7th edition)

  • Phillips, Peter. Integrated Multiaxial Experimentation and Constitutive Modeling. 2017. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1492598070791388.

    MLA Style (8th edition)

  • Phillips, Peter. "Integrated Multiaxial Experimentation and Constitutive Modeling." Doctoral dissertation, University of Dayton, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1492598070791388

    Chicago Manual of Style (17th edition)