Adaptive time scaling for accelerating explicit finite element analysis
Abstract
A method for accelerating an explicit finite element analysis (FEA) simulation of a modeled system or process includes performing an initial iteration of the FEA simulation according to a baseline time interval via an FEA computing network, and calculating a criteria ratio of a predetermined set of scaling criteria for the modeled system or process. The method includes determining a time-scaling factor using the criteria ratio via the FEA computing network as a function of the criteria ratio, and then applying the time-scaling factor to the baseline time interval to generate a scaled time interval. The scaled time interval accelerates simulation time of the FEA simulation. The method includes performing a subsequent iteration of the explicit FEA simulation at the scaled time interval using the FEA computing network. The process continues for subsequent iterations, with the time-scaling factor adapting with each iteration.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); GM Global Technology Operations LLC, Detroit, MI (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1892767
- Patent Number(s):
- 11288424
- Application Number:
- 16/451,513
- Assignee:
- GM Global Technology Operations LLC (Detroit, MI); UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/25/2019
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Chen, Jian, Huang, Hui, Feng, Zhili, Carlson, Blair, Wang, Hui-Ping, and Cai, Wayne. Adaptive time scaling for accelerating explicit finite element analysis. United States: N. p., 2022.
Web.
Chen, Jian, Huang, Hui, Feng, Zhili, Carlson, Blair, Wang, Hui-Ping, & Cai, Wayne. Adaptive time scaling for accelerating explicit finite element analysis. United States.
Chen, Jian, Huang, Hui, Feng, Zhili, Carlson, Blair, Wang, Hui-Ping, and Cai, Wayne. Tue .
"Adaptive time scaling for accelerating explicit finite element analysis". United States. https://www.osti.gov/servlets/purl/1892767.
@article{osti_1892767,
title = {Adaptive time scaling for accelerating explicit finite element analysis},
author = {Chen, Jian and Huang, Hui and Feng, Zhili and Carlson, Blair and Wang, Hui-Ping and Cai, Wayne},
abstractNote = {A method for accelerating an explicit finite element analysis (FEA) simulation of a modeled system or process includes performing an initial iteration of the FEA simulation according to a baseline time interval via an FEA computing network, and calculating a criteria ratio of a predetermined set of scaling criteria for the modeled system or process. The method includes determining a time-scaling factor using the criteria ratio via the FEA computing network as a function of the criteria ratio, and then applying the time-scaling factor to the baseline time interval to generate a scaled time interval. The scaled time interval accelerates simulation time of the FEA simulation. The method includes performing a subsequent iteration of the explicit FEA simulation at the scaled time interval using the FEA computing network. The process continues for subsequent iterations, with the time-scaling factor adapting with each iteration.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {3}
}
Works referenced in this record:
A novel alpha finite element method (αFEM) for exact solution to mechanics problems using triangular and tetrahedral elements
journal, August 2008
- Liu, G. R.; Nguyen-Thoi, T.; Lam, K. Y.
- Computer Methods in Applied Mechanics and Engineering, Vol. 197, Issue 45-48
Numerically simulating structural behaviors of a product using explicit finite element analysis with a mass scaling enhanced subcycling technique
patent, October 2014
- Hallquist, John O.
- US Patent Document 8,855,976
Thermal modeling of an orthogonal machining process
patent, August 2016
- Madhavan, Viswanathan; Deshpande, Amit
- US Patent Document 9,418,185