A thermodynamic frame work for rate type fluid models

By Kumbakonam R. Rajagopal, Arun R. Srinivasa. 2000

487 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Fluid Flow and Transfer Processes, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/32822133825ba0371fb3676e061f581cf1f8a6d2

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In Biomedical Engineering

In Fluid Flow and Transfer Processes

In Materials Chemistry

Citations in the corpus

A Gibbs-potential-based formulation for obtaining the response functions for a class of viscoelastic materials (2011, methodology): “Rajagopal & Srinivasa (2000, 2004) have developed a thermodynamical approach for a class of models based on a choice for the Helmholtz potential and a rate of dissipation, with the assumption that the natural configuration associated with the current configuration of a body could be accessed by an…”
Boundary Conditions at Fluid-Permeable Interfaces in Porous Media: a Variational Approach (2009, background): “This generalization would be of interest in the study of particular fluids (as polymeric fluids and slurries) in which dissipation effects cannot be adequately described by the classical linearly viscous fluid model (see Dunn and Rajagopal (1995); Rajagopal and Srinivasa (2000), Srinivasa (2000)).”
On the thermomechanics of materials that have multiple natural configurations Part I: Viscoelasticity and classical plasticity (2004, methodology): “leads to a generalization of the Oldroyd-B model (see Rajagopal and Srinivasa [20]).”
Stress-Modulated Growth (2007, methodology): “[10], who postulated a principle of maximum entropy production rate, according to the methodology proposed by Rajagopal and Srinivasa [18].”
On the mechanical behavior of asphalt (2005, methodology): “We follow Rajagopal and Srinivasa (2000), Journal of Non-Newtonian Fluid Mechanics, 88, 207–227 for our modeling of asphalt. x = χκR (X, t).”
On thermomechanical restrictions of continua (2004, background): “…it is currently used to choose from a set of competing constitutive assumptions for entropy-producing processes, namely that which maximizes the rate of entropy production (see, for example, Rajagopal & Srinivasa 1998b, 2000, 2001; Houlsby & Puzrin 2000; Srinivasa 2001; Rao & Rajagopal 2001).”