Materials in simulation

Know your materials

Practical knowledge for simulation professionals who need to understand how material behavior is tested, modeled, and represented in FEA.

Latest Material Insights

The Knowledge Base

Sort byDateViews

Validating Simulation Using Digital Image Correlation 

by DatapointLabs5,846 views

There is interest in quantifying the differences between simulation and real life experimentation. This kind of work establishes a baseline for more complex simulations bringing a notion of traceability to the practice of CAE. We present the use of digital image correlation as a way to capture strain fields from component testing and compare these to simulation. Factors that are important in ensuring fidelity between simulation and experiment will be discussed.

Read full post
AbaqusAerospace and DefenseAutomotiveBiomedicalCAE Vendor/SupplierCompositesElectonics/ElectricalMaterial SupplierNonlinear Material ModelsPlasticsPresentationsSIMULIAStructural Analysis

Use of Digital Image Correlation to Obtain Material Model Parameters for Composites 

by DatapointLabs5,638 views

The development of material parameters for FEA is heavily reliant on precision material data that captures the stress-strain relationship with fidelity. While conventional methods involving UTMs and extensometers are quite adequate for obtaining such data on a number of materials, there are important cases where they have been known to be inadequate. The testing of composites to obtain directional properties remains a complex task because of the difficulty related to measuring these properties in different orientations. Digital Image Correlation (DIC) methods are able to capture the stress-strain relationship all the way to failure. In this paper, we combine DIC and conventional methods to measure directional properties of composites. We exploit the unique capability of DIC to retroactively place virtual strain gauges in areas of critical interest in the test specimen. Utilising an Iosipescu fixture, we measure shear properties of structured composites in a variety of orientations to compute the parameters of an orthotropic linear elastic material model. Model consistency is checked by validation using Abaqus.

Read full post
AbaqusAerospace and DefenseCompositesNonlinear Material ModelsResearch PapersSIMULIAStructural Analysis

A Strategy for Material Testing and Data Management for the Automotive Industry 

by DatapointLabs5,547 views

Today, CAE is integrated with modern automotive product development. This creates new challenges for departments that support new product development. In the materials arena, the testing is elevated to much higher levels of sophistication and precision to accommodate the complex material models used in CAE. It is no longer simple matter to convert raw data into material model parameters. We present an end-to-end strategy that gives automakers a well managed pathway to transforming to simulation-based design. We operate a quick-turnaround expert material testing lab to support high-end CAE and product development. We provide a data management software designed specifically to capture and display material data of any complexity. The software can transform raw material data into material parameter files for most commonly used simulations. The CAE Modeler software is of adequate sophistication to fit equations to data, visualize material models along with raw data, and output material cards. Examples for high strain-rate crash material modeling will be presented.

Read full post
AutomotiveCAE Vendor/SupplierNonlinear Material ModelsPresentationsStructural Analysis

Applying Digital Image Correlation Methods to SAMP-1 Characterization 

by DatapointLabs5,566 views

SAMP-1 is a complex material model designed to capture non-Mises yield and localization behavior in plastics. To perform well, it is highly dependent on accurate post-yield material data. A number of assumptions and approximations are currently used to translate measured stress-strain data into the material parameters related to these inputs. In this paper, we look at the use of direct localized strain measurements using digital image correlation (DIC) as a way to more directly extract the required data needed for SAMP-1.

Read full post
CompositesLS-DYNANonlinear Material ModelsPlasticsResearch PapersStructural Analysis