A theory of finite viscoelasticity and numerical aspects

1998/09/01 by Stefanie Reese, Sanjay Govindjee · 41 citations
Chemical Engineering · Engineering · Materials Science · #Rheology and Fluid Dynamics Studies #Elasticity and Material Modeling #Polymer crystallization and properties

paper · doi:10.1016/s0020-7683(97)00217-5

Cited by

• Revealing the unusual rate-dependent mechanical behaviors of nematic liquid crystal elastomers
• Superimposed finite elastic–viscoelastic–plastoelastic stress response with damage in filled rubbery polymers. Experiments, modelling and algorithmic implementation
• Energy–momentum consistent finite element discretization of dynamic finite viscoelasticity
• Differential tissue deformability underlies shape divergence of the embryonic brain and spinal cord under fluid pressure
• A physics-augmented neural network framework for modeling and detecting thermo-visco-plastic behavior
• A physics-augmented neural network framework for finite strain incompressible viscoelasticity
• A finite viscoelastic constitutive model for low to high strain rate response of elastomers with application of strain rate-induced glass transition
• High Strain Rate Behavior of Liquid Crystal Elastomers
• A Complement to Neural Networks for Anisotropic Inelasticity at Finite Strains
• A unified phase-field model of fracture in viscoelastic materials
• Linear viscoelasticity: Mechanics, analysis and approximation
• A framework for finite-strain viscoelasticity based on rheological representations
• Constitutive modeling of viscoelastic solids at large strains based on the theory of evolving natural configurations
• Foundations of viscoelasticity and application to soft tissues mechanics
• Method for constructing rheological models of incompressible media under\n finite deformations
• A Physics-Informed Data-Driven Discovery for Constitutive Modeling of Compressible, Nonlinear, History-Dependent Soft Materials under Multiaxial Cyclic Loading
• Toward a simulation-based tool for the treatment of vocal fold paralysis. [europepmc]
• Nonlinear magneto-viscoelasticity of transversally isotropic magneto-active polymers. [europepmc]
• Visco-hyperelastic constitutive modeling of soft tissues based on short and long-term internal variables. [europepmc]
• On nonlinear thermo-electro-elasticity. [europepmc]
• Mathematical and computational modelling of skin biophysics: a review. [europepmc]
• A Reactive Inelasticity Theoretical Framework for Modeling Viscoelasticity, Plastic Deformation, and Damage in Fibrous Soft Tissue. [europepmc]
• Gradient-Enhanced Modelling of Damage for Rate-Dependent Material Behaviour-A Parameter Identification Framework. [europepmc]
• Parameter Identification and Validation of Shape-Memory Polymers within the Framework of Finite Strain Viscoelasticity. [europepmc]
• Research and Development of High-Performance High-Damping Rubber Materials for High-Damping Rubber Isolation Bearings: A Review. [europepmc]
• A Numerical Scheme for Anisotropic Reactive Nonlinear Viscoelasticity. [europepmc]
• Damage Mechanics of Biological Tissues in Relation to Viscoelasticity. [europepmc]
• Mechanical investigations of the peltate leaf of Stephania japonica (Menispermaceae): Experiments and a continuum mechanical material model. [europepmc]
• Multiscale mechanical characterization and computational modeling of fibrin gels. [europepmc]
• Methods for numerical simulation of soft actively contractile materials. [europepmc]
• Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. [europepmc]
• Modeling the Effect of Material Viscoelasticity on the Dielectric Permittivity of Deformed Elastomers. [europepmc]
• Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue. [europepmc]
• On modeling the multiscale mechanobiology of soft tissues: Challenges and progress. [europepmc]
• A chemo-mechanical constitutive model for muscle activation in bat wing skins. [europepmc]
• Numerical Investigation of Fracture Behaviour of Polyurethane Adhesives under the Influence of Moisture. [europepmc]
• A Physics-Guided Machine Learning Model for Predicting Viscoelasticity of Solids at Large Deformation. [europepmc]
• Model-driven exploration of poro-viscoelasticity in human brain tissue: be careful with the parameters! [europepmc]
• An OpenSees Surrogate Constitutive Model for High-Damping Rubber Based on Machine Learning. [europepmc]
• Modeling autoregulation of cardiac excitation-Ca-contraction and arrhythmogenic activities in response to mechanical load changes. [europepmc]
• Physics-informed data-driven discovery of constitutive models with application to strain-rate-sensitive soft materials. [europepmc]