Here, a new method for the solution of the non-linear equations forming the core of constitutive model integration is proposed. Specifically, the trust-region method that has been developed in the numerical optimization community is successfully modified for use in implicit integration of elastic-plastic models. Although attention here is restricted to these rate-independent formulations, the proposed approach holds substantial promise for adoption with models incorporating complex physics, multiple inelastic mechanisms, and/or multiphysics. As a first step, the non-quadratic Hosford yield surface is used as a representative case to investigate computationally challenging constitutive models. The theory and implementation are presented, discussed, and compared to other common integration schemes. Multiple boundary value problems are studied and used to verify the proposed algorithm and demonstrate the capabilities of this approach over more common methodologies. Robustness and speed are then investigated and compared to existing algorithms. Through these efforts, it is shown that the utilization of a trust-region approach leads to superior performance versus a traditional closest-point projection Newton-Raphson method and comparable speed and robustness to a line search augmented scheme.
Lester, Brian and Scherzinger, William. "Trust-region based return mapping algorithm for implicit integration of elastic-plastic constitutive models." International Journal for Numerical Methods in Engineering, vol. 112, no. 3, Jan. 2017. https://doi.org/10.1002/nme.5515
Lester, Brian, & Scherzinger, William (2017). Trust-region based return mapping algorithm for implicit integration of elastic-plastic constitutive models. International Journal for Numerical Methods in Engineering, 112(3). https://doi.org/10.1002/nme.5515
Lester, Brian, and Scherzinger, William, "Trust-region based return mapping algorithm for implicit integration of elastic-plastic constitutive models," International Journal for Numerical Methods in Engineering 112, no. 3 (2017), https://doi.org/10.1002/nme.5515
@article{osti_1343055,
author = {Lester, Brian and Scherzinger, William},
title = {Trust-region based return mapping algorithm for implicit integration of elastic-plastic constitutive models},
annote = {Here, a new method for the solution of the non-linear equations forming the core of constitutive model integration is proposed. Specifically, the trust-region method that has been developed in the numerical optimization community is successfully modified for use in implicit integration of elastic-plastic models. Although attention here is restricted to these rate-independent formulations, the proposed approach holds substantial promise for adoption with models incorporating complex physics, multiple inelastic mechanisms, and/or multiphysics. As a first step, the non-quadratic Hosford yield surface is used as a representative case to investigate computationally challenging constitutive models. The theory and implementation are presented, discussed, and compared to other common integration schemes. Multiple boundary value problems are studied and used to verify the proposed algorithm and demonstrate the capabilities of this approach over more common methodologies. Robustness and speed are then investigated and compared to existing algorithms. Through these efforts, it is shown that the utilization of a trust-region approach leads to superior performance versus a traditional closest-point projection Newton-Raphson method and comparable speed and robustness to a line search augmented scheme.},
doi = {10.1002/nme.5515},
url = {https://www.osti.gov/biblio/1343055},
journal = {International Journal for Numerical Methods in Engineering},
issn = {ISSN 0029-5981},
number = {3},
volume = {112},
place = {United States},
publisher = {Wiley},
year = {2017},
month = {01}}
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1343055
Report Number(s):
SAND--2016-7049J; 646124
Journal Information:
International Journal for Numerical Methods in Engineering, Journal Name: International Journal for Numerical Methods in Engineering Journal Issue: 3 Vol. 112; ISSN 0029-5981