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Howard L. Schreyer

Researcher at University of New Mexico

Publications -  62
Citations -  5351

Howard L. Schreyer is an academic researcher from University of New Mexico. The author has contributed to research in topics: Constitutive equation & Finite element method. The author has an hindex of 24, co-authored 62 publications receiving 4710 citations.

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A particle method for history-dependent materials

TL;DR: In this paper, an extension of the particle-in-cell method is proposed, in which particles are interpreted to be material points that are followed through the complete loading process and a fixed Eulerian grid provides the means for determining a spatial gradient.

A particle method for history-dependent materials

TL;DR: In this paper, an extension of the particle-in-cell method is proposed, in which particles are interpreted to be material points that are followed through the complete loading process and a fixed Eulerian grid provides the means for determining a spatial gradient.
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Application of a particle-in-cell method to solid mechanics

TL;DR: In this article, an extension to solid mechanics of the FLIP particle-in-cell method is presented, which uses two representations of the continuum, one based on a collection of material points and the other based on computational grid.
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A thermodynamically consistent framework for theories of elastoplasticity coupled with damage

TL;DR: In this article, a unified framework for coupled elastoplastic and damage theories is developed and a rigorous thermodynamic procedure is followed that is sufficiently general to include anisotropic plasticity and damage formulations, and the concept of effective stress is the critical mechanism for coupling these theories.
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Axisymmetric form of the material point method with applications to upsetting and Taylor impact problems

TL;DR: The material point method as discussed by the authors is an evolution of particle-in-cell methods which utilize two meshes, one a material or Lagrangian mesh defined over material of the body under consideration, and the second a spatial or Eulerian mesh defining over the computational domain.