Model reduction and substructuring for computing responses of structures containing frequency-dependent viscoelastic materials

Author(s):  
Sylvain Germes ◽  
Francois van Herpe
Author(s):  
Aziza Mahomed ◽  
David W. Hukins ◽  
Duncan E. T. Shepherd ◽  
Stephen N. Kukureka

Elastomers, such as silicone, are currently used for many designs of artificial finger and wrist joints because they are inert, durable, flexible and allow the necessary range of movements [1–6]. The disadvantage of these silicone joints is that they fracture in vivo [3,5,7]. In addition, these elastomers are viscoelastic so that their properties may depend on loading frequency. It is then possible that the performance of the joints may be frequency dependent. As a first stage in investigating such effects, we have determined the storage and loss moduli of a medical grade silicone in compression.


Author(s):  
Jun Zhang ◽  
Martin Ostoja-Starzewski

This paper investigates the scaling from a statistical volume element (SVE; i.e. mesoscale level) to representative volume element (RVE; i.e. macroscale level) of spatially random linear viscoelastic materials, focusing on the quasi-static properties in the frequency domain. Requiring the material statistics to be spatially homogeneous and ergodic, the mesoscale bounds on the RVE response are developed from the Hill–Mandel homogenization condition adapted to viscoelastic materials. The bounds are obtained from two stochastic initial-boundary value problems set up, respectively, under uniform kinematic and traction boundary conditions. The frequency and scale dependencies of mesoscale bounds are obtained through computational mechanics for composites with planar random chessboard microstructures. In general, the frequency-dependent scaling to RVE can be described through a complex-valued scaling function, which generalizes the concept originally developed for linear elastic random composites. This scaling function is shown to apply for all different phase combinations on random chessboards and, essentially, is only a function of the microstructure and mesoscale.


2018 ◽  
Vol 332 ◽  
pp. 363-381 ◽  
Author(s):  
Xiang Xie ◽  
Hui Zheng ◽  
Stijn Jonckheere ◽  
Axel van de Walle ◽  
Bert Pluymers ◽  
...  

Geophysics ◽  
2004 ◽  
Vol 69 (3) ◽  
pp. 817-824 ◽  
Author(s):  
Sergey Asvadurov ◽  
Leonid Knizhnerman ◽  
Jahir Pabon

To minimize acoustic noise, designers of sonic logging tools often consider coatings of viscoelastic materials with very high attenuation properties. Efficient finite‐difference modeling of viscoelastic materials is a topic of current research. To model viscoelastic materials in the time domain through finite differences efficiently, one needs to replace the time convolution, which enters in the stress–strain relations, by a set of first‐order differential equations. This procedure is equivalent to computing a rational approximation of a certain form to the frequency‐dependent complex modulus of viscoelasticity. Known schemes for computing such approximations are designed to treat materials with low attenuation, such as underground formations, but fail to produce accurate or even physically meaningful results for highly attenuative materials. We propose a novel scheme that allows one to construct, for a given frequency range, a uniformly optimal rational approximation for the most widely used model of materials with constant quality (Q‐) factors of arbitrary magnitude. We present the proof of convergence and demonstrate it on numerical finite‐difference examples. These examples also demonstrate the effective transparency of a simple tool modeled as a pipe of highly viscoelastic material. For frequency‐dependent quality factors we present a modified numerical scheme to compute a nearly optimal rational approximation of the viscoelastic modulus.


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