Y. Hu et Mf. Randolph, A PRACTICAL NUMERICAL APPROACH FOR LARGE-DEFORMATION PROBLEMS IN SOIL, International journal for numerical and analytical methods in geomechanics, 22(5), 1998, pp. 327-350
A practical method is presented for numerical analysis of problems in
solid (in particular soil) mechanics which involve large strains or de
formations. The method is similar to what is referred to as 'arbitrary
Lagrangian-Eulerian', with simple infinitesimal strain incremental an
alysis combined with regular updating of co-ordinates, remeshing of th
e domain and interpolation of material and stress parameters. The tech
nique thus differs from the Lagrangian or Eulerian methods more common
ly used. Remeshing is accomplished using a fully automatic remeshing t
echnique based on normal offsetting, Delaunay triangulation and Laplac
ian smoothing. This technique is efficient and robust. It ensures good
quality shape and distribution of elements for boundary regions of ir
regular shape, and is very quick computationally. With remeshing and i
nterpolation, small fluctuations appeared initially in the load-deform
ation results. In order to minimize these, different increment sizes a
nd remeshing frequencies were explored. Also, various planar linear in
terpolation techniques were compared, and the unique element method fo
und to work best. Application of the technique is focused on the wides
pread problem of penetration of surface foundations into soft soil, in
cluding deep penetration of foundations where soil hows back over the
upper surface of the foundation. Numerical results are presented for a
plane strain footing and an axisymmetric jack-up (spudcan) foundation
, penetrating deeply into soil which has been modelled as a simple Tre
sca or Von Mises material, but allowing for increase of the soil stren
gth with depth. The computed results are compared with plasticity solu
tions for bearing capacity. The numerical method is shown to work extr
emely well, with potential application to a wide range of soil-structu
re interaction problems. (C) 1998 John Wiley & Sons, Ltd.