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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.

Hubert Lobo, Brian Croop and Dan Roy. 9th European LS-DYNA Users' Conference. 2013.

CompositesLS-DYNANonlinear Material ModelsPlasticsResearch PapersStructural Analysis

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DatapointLabs

DatapointLabs Technical Center for Materials is a US-based center of excellence for the measurement of physical properties of materials needed for product development, CAE, and R&D. With our testing services and software for materials, we help companies build enduring data collections that accurately represent the materials used in their products.

To date, more than 30,000 materials have flowed through the laboratory, providing data for over 1,200 companies around the world, including automotive, aerospace, appliance, biomedical, consumer products, electronics, and material supplier verticals. DatapointLabs offers TestPaks to provide CAE-ready material properties data for most major simulation software packages.

In 2018, DatapointLabs joined the Applus+ Group, a worldwide leader the testing, inspection and certification sector. In 2020, DatapointLabs celebrated 25 years of putting materials into product design.

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