1 / 28

03 - tensor calculus

03 - tensor calculus - tensor analysis. 03 - tensor calculus. tensor algebra - invariants. • (principal) invariants of second order tensor. • derivatives of invariants wrt second order tensor. tensor calculus. tensor algebra - trace. • trace of second order tensor.

Download Presentation

03 - tensor calculus

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 03 - tensor calculus - tensor analysis 03 - tensor calculus

  2. tensor algebra - invariants • (principal) invariants of second order tensor • derivatives of invariants wrt second order tensor tensor calculus

  3. tensor algebra - trace • trace of second order tensor • properties of traces of second order tensors tensor calculus

  4. tensor algebra - determinant • determinant of second order tensor • properties of determinants of second order tensors tensor calculus

  5. tensor algebra - determinant • determinant defining vector product • determinant defining scalar triple product tensor calculus

  6. tensor algebra - inverse • inverse of second order tensor in particular • adjoint and cofactor • properties of inverse tensor calculus

  7. tensor algebra - spectral decomposition • eigenvalue problem of second order tensor • solution in terms of scalar triple product • characteristic equation • spectral decomposition • cayleigh hamilton theorem tensor calculus

  8. tensor algebra - sym/skw decomposition • symmetric - skew-symmetric decomposition • symmetric and skew-symmetric tensor • symmetric tensor • skew-symmetric tensor tensor calculus

  9. tensor algebra - symmetric tensor • symmetric second order tensor • processes three real eigenvalues and corresp.eigenvectors • square root, inverse, exponent and log tensor calculus

  10. tensor algebra - skew-symmetric tensor • skew-symmetric second order tensor • processes three independent entries defining axial vector such that • invariants of skew-symmetric tensor tensor calculus

  11. tensor algebra - vol/dev decomposition • volumetric - deviatoric decomposition • volumetric and deviatoric tensor • volumetric tensor • deviatoric tensor tensor calculus

  12. tensor algebra - orthogonal tensor • orthogonal second order tensor • decomposition of second order tensor such that and • proper orthogonal tensor has eigenvalue with interpretation: finite rotation around axis tensor calculus

  13. tensor analysis - frechet derivative • consider smooth differentiable scalar field with scalar argument vector argument tensor argument • frechet derivative (tensor notation) scalar argument vector argument tensor argument tensor calculus

  14. tensor analysis - gateaux derivative • consider smooth differentiable scalar field with scalar argument vector argument tensor argument • gateaux derivative,i.e.,frechet wrt direction (tensor notation) scalar argument vector argument tensor argument tensor calculus

  15. tensor analysis - gradient • consider scalar- and vector field in domain • gradient of scalar- and vector field renders vector- and 2nd order tensor field tensor calculus

  16. tensor analysis - divergence • consider vector- and 2nd order tensor field in domain • divergence of vector- and 2nd order tensor field renders scalar- and vector field tensor calculus

  17. tensor analysis - laplace operator • consider scalar- and vector field in domain • laplace operator acting on scalar- and vector field renders scalar- and vector field tensor calculus

  18. tensor analysis - transformation formulae • consider scalar,vector and 2nd order tensor field on • useful transformation formulae (tensor notation) tensor calculus

  19. tensor analysis - transformation formulae • consider scalar,vector and 2nd order tensor field on • useful transformation formulae (index notation) tensor calculus

  20. tensor analysis - integral theorems • consider scalar,vector and 2nd order tensor field on • integral theorems (tensor notation) green gauss gauss tensor calculus

  21. tensor analysis - integral theorems • consider scalar,vector and 2nd order tensor field on • integral theorems (tensor notation) green gauss gauss tensor calculus

  22. voigt / matrix vector notation • strain tensors as vectors in voigt notation • stress tensors as vectors in voigt notation • why are strain & stress different? check energy expression! tensor calculus

  23. voigt / matrix vector notation • fourth order material operators as matrix in voigt notation • why are strain & stress different? check these expressions! tensor calculus

  24. deformation gradient • given the deformation gradient, play with matlab to become familiar with basic tensor operations! • uniaxial tension (incompressible), simple shear, rotation example #1 - matlab

  25. second order tensors - scalar products • inverse of second order tensor • right / left cauchy green and green lagrange strain tensor • trace of second order tensor • (principal) invariants of second order tensor example #1 - matlab

  26. fourth order tensors - scalar products • symmetric fourth order unit tensor • screw-symmetric fourth order unit tensor • volumetric fourth order unit tensor • deviatoric fourth order unit tensor example #1 - matlab

  27. neo hooke‘ian elasticity • free energy • 1st and 2nd piola kirchhoff stress and cauchy stress • 4th order tangent operators example #1 - matlab

  28. matlab • play with the matlab routine to familiarize yourself with tensor expressions! • calculate the stresses for different deformation gradients! • which of the following stress tensors is symmetric and could be represented in voigt notation? • what would look like in the linear limit, for • what are the advantages of using the voigt notation? homework #2

More Related