Q2. What are the future works in "A new framework for large strain electromechanics based on convex multi-variable strain energies: finite element discretisation and computational implementation" ?
The new framework presented opens very interesting possibilities to similar multi-physics problems within the field of smart materials, which are the current focus of the authors.
Q3. What is the well accepted constitutive inequality?
The most well accepted constitutive inequality, namely ellipticity, is automatically satisfied if the internal energy density functional e per unit of undeformed volume e = e(∇0x,D0) is defined as [1]e (∇0x,D0) = W (F ,H , J,D0,d) ; d = FD0.
Q4. How does the extended set of variables enables the introduction of work conjugates?
the extended set of variables {F ,H , J,D0,d} enables the introduction of work conjugates {ΣF ,ΣH ,ΣJ ,ΣD0 ,Σd}, where the satisfaction of multi-variable convexity guarantees that the relationship between both sets is one to one and invertible.
Q5. What is the importance of the new definition of multivariable convexity?
It should be emphasised that the new definition of multivariable convexity ensures [1] the material stability and well posedness of the equations.
Q6. What are the discrete stationary conditions of the variational principle W?
(37)Virtual and incremental variations of the elements in the sets Y and ΣY in above equation (37) are denoted asδY = {δF , δH , δJ, δΣD0}; δΣY = {δΣF , δΣH , δΣJ , δΣd}; ∆Y = {∆F ,∆H ,∆J,∆Σd}; ∆ΣY = {∆ΣF ,∆ΣH ,∆ΣJ ,∆Σd}. (38) The discrete stationary conditions of the variational principle ΠW (31) with respect to virtual changes in the geometry and in the electric potential (i.e. equilibrium and Gauss law) areDΠW [δu] = nx ∑a=1Ra x · δua; Ra x =∫VP W ∇0N x a dV − ∫Vf 0N x a dV − ∫∂tVt0N x a dA;DΠW [δϕ] =nϕ ∑a=1Raϕ · δϕa; Raϕ = ∫VD0 ·∇0Nϕa dV − ∫Vρ0N ϕ a dV −∫∂ωVω0N ϕ a dA,(39) where the first Piola-Kirchhoff stress tensor P W is evaluated asP W = ΣF + ΣH Fx + ΣJHx + Σd ⊗D0. (40)The discrete stationary conditions of the variational principle ΠW (31) with respect to virtual changes of the elements of the set Y and D0 (i.e. constitutive and Faraday laws) isDΠW [δY , δD0] = nF ∑a=1Ra F : δF a +nH ∑a=1Ra H : δHa +nJ ∑a=1RaJδJ a+nd ∑a=1Ra d · δda +nD0 ∑a=1Ra D0 · δDa0,(41)17where the different residuals emerging in above equation (41) areRa F =∫V(∂W ∂F −ΣF)NFa dV ; R a H =∫V(∂W ∂H −ΣH)NHa dV ;RaJ =∫V(∂W∂J − ΣJ)NJa dV ; R a d =∫V(∂W∂d −Σd)Nda dV ;Ra D0 =∫V(∂W ∂D0 + ∇0ϕ+ Fx TΣd)Nda dV .(42) The discrete stationary conditions with respect to the elements of the setΣY (37) (i.e. compatibility) yieldsDΠW [δΣY ] =nΣF ∑a=1Ra ΣF : δΣF a +nΣH ∑a=1Ra ΣH : δΣH a +nΣJ ∑a=1RaΣJ δΣ a J+nΣd ∑a=1Ra
Q7. What are the discrete stationary conditions of the variational principle in (67)?
The discrete stationary conditions with respect to the elements in the set D (67) and Σd (i.e. constitutive laws) areDΠΦ[δD, δΣd] = nF ∑a=1Ra F : δF a +nH ∑a=1Ra H : δHa +nJ ∑a=1RaJδJ a+nΣD0 ∑a=1Ra ΣD0 · δΣa D0 +nΣd ∑a=1Ra
Q8. What is the definition of the stiffness matrix?
The stiffness matrix contribution KabDΣD arising from the linearisation of R a D with respect to incremental changes in the elements of the set ΣD is defined asKabDΣD = − ∫V NFa N F b The author0 0 00 NHa N H b The author0 0 0 0 NJa N J b 0 0 0 0 −ND0a ND0b The author dV . (81)Finally, the expression for the matrix KabDΣd emerges asKabDΣd =∫V[NFa N d b ΦFΣd N H a N d b ΦHΣd N J a N d b ΦJΣd N D0 a N d b ΦΣD0Σd ] dV .(82) The stiffness matrix contribution KabΣDΣd yieldsKabΣDΣd = [ 0 0 0 Kab D0Σd ] ; Kab D0Σd =∫VND0a N d b F T x dV . (83)The last stiffness matrix involved in the variational principle ΠΦ (33), namely, KabΣdΣd is obtained asKab ΣdΣd =∫VND0a N Σd b ΦΣdΣd dV . (84)25The objective of this section is to present a series of numerical examples in order to prove the robustness, accuracy and applicability of the computational framework presented above.
Q9. What is the order of convergence of the Jacobian J and its work conjugate?
As expected, the constant interpolation of the Jacobian J and its work conjugate ΣJ affects the optimal convergence of the different variables, specially those purely mechanical and the pair {d,Σd}, for which a decrease of one is observed in the order of convergence.
Q10. What is the stiffness matrix contribution associated to the residual RaY?
The stiffness matrix contribution associated to the residual RaY , namely K ab YD0 is defined asKabYD0 =∫V[NFa N D0 b WFD0 N H a N D0 b WHD0 N J a N D0 b WJD0 N d aN D0 b WdD0 ] dV .(53)
Q11. What is the advantage of using a constitutive model defined by the energy functional in (10)?
An advantage of employing a constitutive model defined by the energy functional in (10) is that it ensures the existence of the Helmholtz’s energy density ab initio, which cannot be necessarily guaranteed otherwise.
Q12. What is the significance of the Baker-Ericksen inequality?
Bustamante and Merodio [16] studied under what ranges of deformation and magnetic field the Baker-Ericksen inequality [15] would be compromised, specifically considering smart materials belonging to the class of magneto-sensitive elastomers2.
Q13. What is the difference between the two mixed formulations?
For the two mixed formulations included in this paper, the use of interpolation spaces in which the sets {F ,H , J,D0,d} and its dual counterpart {ΣF ,ΣH ,ΣJ ,ΣD0 ,Σd} are described as piecewise discontinuous across elements enables these fields to be resolved locally, following a standard static condensation procedure, thus leading to a computational cost comparable to that of the displacement-potential based approach, yet with far more accuracy.
Q14. What is the procedure to obtain the stiffness matrix contribution of Kabxx?
The procedure to obtain the stiffness matrix contribution Kabxx has beenalready presented in Reference [24] in the context of nonlinear elasticity[Kab xx]ij = Eijk[kab xx]k ; kab xx =∫V(ΣH + ΣJF x) (∇0N x a ×∇0Nxb ) dV .(46)