Javier Llorca

Mechanical Engineering · 2000–2021

A researcher in the Science corpus: 34 papers; trusts 53 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Llorca trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Javier Segurado
  2. Carlos Gonz'alez
  3. O. Pierard
  4. Salvatore Torquato
  5. Somnath Ghosh
  6. C. Tomé
  7. I. Doghri
  8. Alain Karma
  9. S. Pinho
  10. M. Hinton

Who trusts Javier Llorca overall

  1. Carlos Gonz'alez
  2. F. Naya
  3. E. Totry
  4. Jason M. Tyrus
  5. Javier Segurado
  6. O. Pierard
  7. A. Melro
  8. Pedro P. Camanho
  9. M. Herráez
  10. Cláudio S. Lopes

Papers from Javier Llorca's perspective

Ordered by how strongly the researchers Javier Llorca trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fiber packing and elastic properties of a transversely random unidirectional glass/epoxy composite
  2. Numerical simulation of the effects of volume fraction, aspect ratio and fibre length distribution on the elastic and thermoelastic properties of short fibre composites
  3. Homogenization of two-phase elasto-plastic composite materials and structures: Study of tangent operators, cyclic plasticity and numerical algorithms
  4. Physically-based failure models and criteria for laminated fibre-reinforced composites with emphasis on fibre kinking: Part I: Development
  5. Interfacial debonding analysis in multiple fiber reinforced composites
  6. Anisotropic yield function of hexagonal materials taking into account texture development and anisotropic hardening
  7. Overall behaviour of heterogeneous elastoviscoplastic materials: effect of microstructural modelling
  8. Failure Criteria in Fibre-Reinforced-Polymer Composites: The World-Wide Failure Exercise
  9. An enhanced affine formulation and the corresponding numerical algorithms for the mean-field homogenization of elasto-viscoplastic composites
  10. An affine formulation for the prediction of the effective properties of nonlinear composites and polycrystals

Their papers