| description abstract | Rheologically complex materials are described by functionvalued properties with dependence on a timescale (linear viscoelasticity), input amplitude (nonlinear material behavior), or more generally both (nonlinear viscoelasticity). This complexity presents a difficulty when trying to utilize these material systems in engineering designs. Here, we focus on linear viscoelasticity and a methodology to identify the desired viscoelastic behavior. This is an earlystage design step to optimize target (functionvalued) properties before choosing or synthesizing a real material. In linear viscoelasticity, it is not obvious which properties can be treated as independent design variables. Thus, it is nontrivial to select the most designappropriate constitutive model, to be as general as possible, but not violate fundamental restrictions. We use the Kramers–Kronig constraint to show that frequencydependent moduli (e.g., shear moduli G′(د‰) and G″(د‰)) cannot be treated as two independent design variables. Rather, a single function such as the relaxation modulus (e.g., K(t) for forcerelaxation or G(t) for stress relaxation) is an appropriate functionvalued design variable. A simple case study is used to demonstrate the framework in which we identify target properties for a vibration isolation system. Viscoelasticity improves performance. Different parameterizations of the kernel function are optimized and compared for performance. While parameterization may limit the generality of the kernel function, we do include a nonobvious representation (power law) that is found in real viscoelastic material systems and in the springdashpot paradigm would require an infinite number of components. Our methodology provides a means to answer the question, “What viscoelastic properties are desirable?†This ability to identify targeted behavior will be useful for subsequent stages of the design process including the selection or synthesis of real materials. | |
