Publications

Results 3276–3300 of 9,998

Search results

Jump to search filters

Sierra/Solid Mechanics 4.48 User's Guide

Merewether, Mark T.; Crane, Nathan K.; de Frias, Gabriel J.; Le, San L.; Littlewood, David J.; Mosby, Matthew D.; Pierson, Kendall H.; Porter, V.L.; Shelton, Timothy S.; Thomas, Jesse D.; Tupek, Michael R.; Veilleux, Michael V.; Gampert, Scott G.; Xavier, Patrick G.; Plews, Julia A.

Sierra/SolidMechanics (Sierra/SM) is a Lagrangian, three-dimensional code for finite element analysis of solids and structures. It provides capabilities for explicit dynamic, implicit quasistatic and dynamic analyses. The explicit dynamics capabilities allow for the efficient and robust solution of models with extensive contact subjected to large, suddenly applied loads. For implicit problems, Sierra/SM uses a multi-level iterative solver, which enables it to effectively solve problems with large deformations, nonlinear material behavior, and contact. Sierra/SM has a versatile library of continuum and structural elements, and a large library of material models. The code is written for parallel computing environments enabling scalable solutions of extremely large problems for both implicit and explicit analyses. It is built on the SIERRA Framework, which facilitates coupling with other SIERRA mechanics codes. This document describes the functionality and input syntax for Sierra/SM.

More Details
TYPE SAND Report YEAR 2018
DOIOSTI

Challenges in Visual Analysis of Ensembles

IEEE Computer Graphics and Applications

Crossno, Patricia J.

Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble. This article explores the challenges we face in developing analysis and visualization systems for large and complex ensemble data sets, which we seek to understand without having to view the results of every simulation run. Implementing approaches and ideas developed in response to this goal, we demonstrate the analysis of a 15K run material fracturing study using Slycat, our ensemble analysis system.

More Details
TYPE Journal Article YEAR 2018
DOIDOIOSTIScopusOSTIScopus

Special issue on uncertainty quantification in multiscale system design and simulation

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

Swiler, Laura P.; Wang, Yan

The importance of uncertainty has been recognized in various modeling, simulation, and analysis applications, where inherent assumptions and simplifications affect the accuracy of model predictions for physical phenomena. As model predictions are now heavily relied upon for simulation-based system design, which includes new materials, vehicles, mechanical and civil structures, and even new drugs, wrong model predictions could potentially cause catastrophic consequences. Therefore, uncertainty and associated risks due to model errors should be quantified to support robust systems engineering.

More Details
TYPE Journal Article YEAR 2018
DOIDOIOSTIScopusOSTIScopus
Results 3276–3300 of 9,998
Results 3276–3300 of 9,998