skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Lagrangian Material Tracers (LMT) for Simulating Material Damage in ALEGRA

Abstract

A method for providing non-diffuse transport of material quantities in arbitrary Lagrangian-Eulerian (ALE) dynamic solid mechanics computations is presented. ALE computations are highly desirable for simulating dynamic problems that incorporate multiple materials and large deformations. Despite the advantages of using ALE for such problems, the method is associated with diffusion of material quantities due to the advection transport step of the computational cycle. This drawback poses great difficulty for applications of material failure for which discrete features are important, but are smeared out as a result of the diffusive advection operation. The focus of this work is an ALE method that incorporates transport of variables on discrete, massless points that move with the velocity field, referred to as Lagrangian material tracers (LMT), and consequently prevents diffusion of certain material quantities of interest. A detailed description of the algorithm is provided along with discussion of its computational aspects. Simulation results include a simple proof of concept, verification using a manufactured solution, and fragmentation of a uniformly loaded thin ring that clearly demonstrates the improvement offered by the ALE LMT method.

Authors:
 [1];  [1];  [1]
  1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1561806
Report Number(s):
SAND-2016-7260
646197
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Sanchez, Jason James, Luchini, Christopher Bernard, and Strack, Otto Eric. Lagrangian Material Tracers (LMT) for Simulating Material Damage in ALEGRA. United States: N. p., 2016. Web. doi:10.2172/1561806.
Sanchez, Jason James, Luchini, Christopher Bernard, & Strack, Otto Eric. Lagrangian Material Tracers (LMT) for Simulating Material Damage in ALEGRA. United States. https://doi.org/10.2172/1561806
Sanchez, Jason James, Luchini, Christopher Bernard, and Strack, Otto Eric. 2016. "Lagrangian Material Tracers (LMT) for Simulating Material Damage in ALEGRA". United States. https://doi.org/10.2172/1561806. https://www.osti.gov/servlets/purl/1561806.
@article{osti_1561806,
title = {Lagrangian Material Tracers (LMT) for Simulating Material Damage in ALEGRA},
author = {Sanchez, Jason James and Luchini, Christopher Bernard and Strack, Otto Eric},
abstractNote = {A method for providing non-diffuse transport of material quantities in arbitrary Lagrangian-Eulerian (ALE) dynamic solid mechanics computations is presented. ALE computations are highly desirable for simulating dynamic problems that incorporate multiple materials and large deformations. Despite the advantages of using ALE for such problems, the method is associated with diffusion of material quantities due to the advection transport step of the computational cycle. This drawback poses great difficulty for applications of material failure for which discrete features are important, but are smeared out as a result of the diffusive advection operation. The focus of this work is an ALE method that incorporates transport of variables on discrete, massless points that move with the velocity field, referred to as Lagrangian material tracers (LMT), and consequently prevents diffusion of certain material quantities of interest. A detailed description of the algorithm is provided along with discussion of its computational aspects. Simulation results include a simple proof of concept, verification using a manufactured solution, and fragmentation of a uniformly loaded thin ring that clearly demonstrates the improvement offered by the ALE LMT method.},
doi = {10.2172/1561806},
url = {https://www.osti.gov/biblio/1561806}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 26 00:00:00 EDT 2016},
month = {Tue Jul 26 00:00:00 EDT 2016}
}