The objective of this study is to develop robust finite element models of the liver and kidney. The organs are modeled for the first time as hyper viscoelastic materials and with individual constituents of each (viz. the capsule and veins). To characterize the tissues, static and dynamic experiments were performed on individual parts of the porcine abdominal o...

Experiments have shown that shear waves induced in brain tissue can develop into shock waves, thus providing a possible explanation of deep traumatic injuries. Here, we study the formation soft viscoelastic solids subject to an imposed velocity at their boundary. We consider plane shearing motion semi-infinite half-space, which corresponds spatially one-dimensional problem. Incompressible whose...

We propose a new approach for unsupervised learning of hyperelastic constitutive laws with physics-consistent deep neural networks. In contrast to supervised learning, which assumes the availability stress-strain pairs, only uses realistically measurable full-field displacement and global reaction force data, thus it lies within scope our recent framework Efficient Unsupervised Constitutive Law...

A comprehensive study on the spherical indentation of hyperelastic soft materials is carried out through combined theoretical, computational, and experimental efforts. Four widely used hyperelastic constitutive models are studied, including neo-Hookean, Mooney-Rivlin, Fung, and Arruda-Boyce models. Through dimensional analysis and finite element simulations, we establish the explicit relations ...

For more than 100 years, chemical, physical, and material scientists have proposed competing constitutive models to best characterize the behavior of natural man-made materials in response mechanical loading. Now, computer science offers a universal solution: Neural Networks. Networks are powerful function approximators that can learn relations from large data without any knowledge underlying p...

Abstract In this study, a comprehensive analysis of visco-hyper-elastic thick soft arches under an external time-independent as well time-dependent loads is presented from bending and internal resonance phenomenon perspectives. Axial, transverse rotation motions are considered for modelling the arch in framework Mooney–Rivlin Kelvin–Voigt schemes third-order shear deformable models. The assumed...

Soft materials like tissues, prosthetics, gels and rubber are usually modeled as incompressible hyperelastic. The use of these in soft robotics surgical implants necessitates analysis their finite deformations. We study here plane-strain flexural deformations functionally graded, isotropic Mooney-Rivlin rectangular beams into circular arcs by using a member Ericksen’s family universal solutions...

As a crucial component for temporary blocking of layer segments in the segmental fracturing process, bridge plugs are difficult to unseal by conventional methods and may cause major downhole accidents if not handled properly. In this paper, nanofluidic self-heating unsealing rubber cylinder is designed, which equipped with sandwich inside cylinder, consisting system an annular flexible heater. ...

Abstract In this study, the time-dependent mechanics of multilayered thick hyperelastic beams are investigated for first time using five different types shear deformation models modelling beam (i.e. Euler–Bernoulli, Timoshenko, third-order, trigonometric and exponential deformable models), together with von Kármán geometrical nonlinearity Mooney–Rivlin strain energy density. The laminated is as...