9 research outputs found
Cyclic stretch activates p38 SAPK2-, ErbB2-, and AT1-dependent signaling in bladder smooth muscle cells
Histological evaluation of the effects of angiotensin peptides on wound repair in diabetic mice
Contractile and cytoskeletal proteins in urinary bladder smooth muscle from rats treated with epidermal growth factor
Increased Local Synthesis of Epidermal Growth Factors in Infantile Hypertrophic Pyloric Stenosis
Inhibition of gene expression of heparin-binding epidermal growth factor-like growth factor by extracellular superoxide dismutase in rat aortic smooth muscle cells
Numerical simulation of high-temperature thermal contact resistance and its reduction mechanism
Unified treatment of microscopic boundary conditions and efficient algorithms for estimating tangent operators of the homogenized behavior in the computational homogenization method
peer reviewedThis work provides a unified treatment of arbitrary kinds of microscopic boundary conditions usually considered in the multi-scale computational homogenization method for nonlinear multi-physics problems. An efficient procedure is developed to enforce the multi-point linear constraints arising from the microscopic boundary condition either by the direct constraint elimination or by the Lagrange multiplier elimination methods. The macroscopic tangent operators are computed in an efficient way from a multiple right hand sides linear system whose left hand side matrix is the stiffness matrix of the microscopic linearized system at the converged solution. The number of vectors at the right hand side is equal to the number of the macroscopic kinematic variables used to formulate the microscopic boundary condition. As the resolution of the microscopic linearized system often follows a direct factorization procedure, the computation of the macroscopic tangent operators is then performed using this factorized matrix at a reduced computational time.The authors gratefully acknowledge the financial support from F.R.SF. N.R.S. under the project number PDR T.1015.14. Computational resources have been provided by the supercomputing facilities of the Consortium des Equipements de Calcul Intensif en Federation Wallonie Bruxelles (CECI) funded by the Fond de la Recherche Scientifique de Belgique (FRS-FNRS)