9 citations · 16 across the 8 of their papers we have counts for
9 papers
A novel four-field mixed variational approach to Kirchhoff rods implemented with finite element exterior calculus
Jamun Kumar N, Bensingh Dhas, Arun R Srinivasa +2
A four-field mixed variational principle is proposed for large deformation analysis of Kirchhoff rods with a mixed FE approximations. The core idea behind the approach is to…
FlowMesher: An automatic unstructured mesh generation algorithm with applications from finite element analysis to medical simulations
Zhujiang Wang, Arun R. Srinivasa, J. N. Reddy +1
In this work, we propose an automatic mesh generation algorithm, FlowMesher, which can be used to generate unstructured meshes for mesh domains in any shape with minimum (or even n…
A general higher-order shell theory for compressible isotropic hyperelastic materials using orthonormal moving frame
Archana Arbind, J N Reddy, A R Srinivasa
The aim of this study is three-fold: (i) to present a general higher-order shell theory to analyze large deformations of thin or thick shell structures made of general compressible…
Experimental Investigation of the Inelastic Response of Pig and Rat Skin under Uniaxial Cyclic Mechanical Loading
N. Afsar Kazerooni, A. R. Srinivasa, J. C. Criscione
Skin is a highly non-linear, anisotropic, rate dependent inelastic, and nearly incompressible material which exhibits substantial hysteresis even under very slow (quasistatic) load…
A Weyl geometric model for thermo-mechanics of solids with metrical defects
Bensingh Dhas, Arun R Srinivasa, Debasish Roy
We seek a rational route to large-deformation, thermo-mechanical modeling of solids with metrical defects. It assumes the reference and deformed geometries to be of the Weyl type a…
A Novel Simplified Model for Blood Coagulation: A piecewise dynamical model for thrombin with robust predictive capabilities
Jayavel Arumugam, Arun Srinivasa
Realistic description of patient-specific mechanical properties of clotting dynamics presents a major challenge. Available patient-specific data falls short of robustly characteriz…