A new one‐point quadrature enhanced assumed strain (EAS) solid‐shell element with multiple integration points along thickness: Part I—geometrically linear applications

By R. J. Alves de Sousa, Rui P. R. Cardoso, R. Fontes Valente, Jeong Whan Yoon, J. Gracio, R. N. Natal Jorge. 2005

130 citations recorded by the source corpus.

Accuracy and efficiency are the main features expected in finite element method. In the field of low‐order formulations, the treatment of locking phenomena is crucial to prevent poor results. For three‐dimensional analysis, the development of efficient and accurate eight‐node solid‐shell finite elements has been the principal goal of a number of recent published works. When modelling thin‐ and thick‐walled applications, the well‐known transverse shear and volumetric locking phenomena should be conveniently circumvented. In this work, the enhanced assumed strain method and a reduced in‐plane integration scheme are combined to produce a new eight‐node solid‐shell element, accommodating the use of any number of integration points along thickness direction. Furthermore, a physical stabilization procedure is employed in order to correct the element's rank deficiency. Several factors contribute to the high computational efficiency of the formulation, namely: (i) the use of only one internal variable per element for the enhanced part of the strain field; (ii) the reduced integration scheme; (iii) the prevention of using multiple elements' layers along thickness, which can be simply replaced by any number of integration points within a single element layer. Implementation guidelines and numerical results confirm the robustness and efficiency of the proposed approach when compared to conventional elements well‐established in the literature. Copyright © 2004 John Wiley & Sons, Ltd.

Subfields: Computational Mechanics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/0f0a93f495064f1ce6497fd1a85ab53c849ca9cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

  1. J. Gracio
  2. R. Fontes Valente
  3. R. J. Alves de Sousa
  4. Jeong Whan Yoon
  5. Rui P. R. Cardoso
  6. R. N. Natal Jorge

In Mechanics of Materials

  1. J. Gracio
  2. R. Fontes Valente
  3. R. J. Alves de Sousa
  4. R. N. Natal Jorge
  5. Rui P. R. Cardoso
  6. Jeong Whan Yoon
  7. Stefanie Reese
  8. Frederic Barlat

Citations in the corpus