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Here, the memristive behavior was modeled by Verilog-A in the circuit simulator [11].
The composition dependent dielectric behavior was modeled by a self-consistent effective medium theory.
The system behavior was modeled by a simple line-of-charge approximation, which was validated by a more detailed Lagrangian model and by experiments on an individual electrospray.
In the latter, the composite behavior was modeled by linearization of the local behavior through the use of the tangent or secant stiffness tensors of the phases.
Local buckling of longitudinal bars was assumed to initiate when the strain of longitudinal bars reaches the peak strain of concrete cover (i.e., ( varepsilon_{bl} = varepsilon_{co,u} )) (Gomes and Appleton 1997; Chen and Lin 2006), and post-local buckling behavior was modeled by the plastic mechanism approach (or yield-line analysis, Eq. (8)) (Morino et al. 1986; Gomes and Appleton 1997).
Health care seeking behavior was modeled by combining the marginal delay from symptom onset to health care seeking distribution [ 19] and day-of-the-week distribution calculated from Harvard Pilgrim Health Care (HPHC) clinic data for ILI.
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The normal direction constitutive behavior was modelled by using the penalty approach once the interaction surfaces are in contact; otherwise the normal strength is zero.
The viscoelastic behavior is modeled by using a four parameter fractional derivative model.
The fluid behavior is modeled by the incompressible Navier Stokes equations.
Hyperelastic behavior is modeled by using proposed power law strain energy function with variable material parameters.
Hyperelastic behavior is modeled by using modified neo-Hookean strain energy function with variable material parameters.
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