Parallel soil–foundation–structure interaction computations

Discretization effects in the finite element simulation of seismic waves in elastic and elastic-plastic media

“…For example, on the finite element side, available are solids elements (8,20,27,(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27) node, dry and saturated bricks), structural elements (trusses, beams, shells), contact elements (frictional slip and gap, dry and saturated), isolator and dissipator elements; on the material modeling side, available are elastic (isotropic, anisotropic, linear and non-linear) and elastic-plastic models (isotropic, anisotropic hardening). The seismic input can be applied using the Domain Reduction Method [7,61], while sequential and parallel versions of the program are available (the latter is based on the Plastic Domain Decomposition (PDD) method [25]). Recent applications of Real ESSI to seismic problems are documented, for instance, in [1, 12, 27-30, 46, 56-58].…”

“…Apparently, analysts have to compromise on accuracy and computational costs in these situations; -as expected, the shear stress-strain cycles in Figs. 25 and 28 show that the sensitivity to discretization builds up as increasing non-linearity is mobilized. This is the case for instance at the top of the PBS layer, where cycles are more dissipative than at the bottom due to lower overburden stresses and dynamic amplification.…”

Time domain simulation of soil–foundation–structure interaction in non‐uniform soils

“…Numerical simulations described in this paper were done using a parallel computer program based on plastic domain decomposition method [18,19]. Program was developed using a number of publicly available numerical libraries.…”

“…Pre-NEESR project, titled 'Collaborative Research: Demonstration of NEES for Studying Soil-Foundation-Structure Interaction' (PI Professor Wood from UT) brought together researchers from University of California at Berkeley, University of Texas at Austin, University of Nevada at Reno, University of Washington, University of Kansas, Purdue University and University of California at Davis, with the aim of demonstrating use of NEES facilities and use of existing and development of new simulations tools for studying SSI problems. Presented modeling, simulations and developed parallel simulations tools (used here and described by Jeremić and Jie [18,19]) represented a small part of this large and ambitious project. …”