Hi all,
I'm looking for an efficient solver written in Fortran (preferably fortran 90 or later versions) to solve unsymmetric system of equations using finite element method. I've an in-house FE code which lacks an efficient unsymmetric solvers (like skyline and sparse solvers). I found some symmetric solver subroutines online, but couldn't find any for unsymmetric case. Any suggestions and recommendations will be much appreciated.
Karma
X. Zhang, S. H. Im, R. Huang, P. S. Ho, Chapter 2 in Integrated Interconnect Technologies for 3D Nanoelectronic Systems (Editors: M. Bakir and J. Meindl), Artech House, Norwood, MA, 2008.
Abstract:
I'm leaving the US in a couple of days and will probably take a hiatus of a few months from iMechanica. Before I leave, I want to tell you about a C++ idiom that eases the implementation and use of multiple material models in a computational mechanics code.
In order to achieve a wide variety of biological phenomena, the abilities of cells to contact effectively and interact specifically with neighboring media play a central role. It is known that cells can sense the chemical and mechanical properties of surrounding systems and regulate their adhesion and movement through binding protein molecules within cell membrane. The kinetics of binding molecules interacting with ligands is of great interest in biophysical society. There are lots of discussions and contributions on cell mechanics from our mechanical society, e.g.
Hi everyone,
I am working on a project which deals with the bi-
layer system of slabs(i.e., two layers of different concretes bonded
together with a cement grout). The only loading case is the
temperature, i.e, due to the high room temperature different
concretes will conduct different temperatures and due to which the
stresses are developed and hence due to warping the edge curling and
delaminations occur.
My questions are;
Recent developments in computational cell and biomolecular mechanics have provided valuable insights into the mechanical properties of cells, subcellular components and biomolecules, while simultaneously complementing new experimental techniques used for deciphering the structure–function paradigm in living cells. These computational approaches have direct implications in understanding the state of human health and the progress of disease and can therefore aid immensely in the diagnosis and treatment of diseases.
