Materials insight

SAMP-1: A Semi-Analytical Model for the Simulation of Polymers

by Paul Du Bois5,338 views

The numerical simulation of structural parts made from plastics is becoming increasingly important nowadays. The fact that almost any structural requirement can be combined in a lightweight, durable and cost effective structure is the driving force behind its widespread application. More and more structural relevant parts are being constructed and manufactured from plastics. This on the other hand drives the demand for reliable and robust methods to design these parts and to predict their structural behaviour. the key ingredients that need to be available are verified, calibrated and validated constitutive models for any family of plastic material. This holds not only true for crashworthiness applications but for any other application field.

S. Kolling, A. Haufe, M. Feucht, and P.A. Du Bois

AutomotiveLS-DYNANonlinear Material ModelsPlasticityPlasticsRate DependencyYielding/Failure Analysis

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Paul Du Bois

Paul Du Bois has worked as an independent consultant in the field of industrial application of large scale numerical simulations since September 1987. He has specialized in the application of explicit integration techniques for crashworthiness and impact problems.

Among Paul’s customers are most of the world’s automotive assemblers such as Daimler, GM, Ford, Opel, Fiat, Porsche, Volvo, PSA, Renault, Toyota, Nissan, Honda, Hyundai and many others including automotive suppliers and design and engineering companies. Paul’s more recent projects include a Daimler sponsored development of a generalized plasticity law for the simulation of plastics and the formulation of a tabulated hyper-elastic material law with damage for the simulation of rubber and foam.

He was involved with the joint research organization of the German automotive industry, FAT, in the working groups: ‘Side Impact Dummies’ from 1992 through 1997 and ‘Foam Materials’ (1996 until 2009). In 2003, Paul was asked by LSTC to perform a training mission at the Russian national laboratory in Snezinskh.

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