OCSYSYFeb 22, 2017

Identification of a space varying coefficient of a linear viscoelastic string of Maxwell-Boltzman type

arXiv:1702.067701 citationsh-index: 24
Originality Synthesis-oriented
AI Analysis

This work provides a theoretical extension of an identification technique to a more complex class of materials, but the results are purely mathematical and incremental in nature.

The paper extends a dynamical identification method for elastic bodies to viscoelastic strings with memory, using boundary input-output data to identify a space-varying coefficient. The approach generalizes Blagoveshchenskii's equation to systems with persistent memory.

In this paper we solve the problem of the identification of a coefficient which appears in the model of a distributed system with persistent memory encountered in linear viscoelasticity (and in diffusion processes with memory). The additional data used in the identification are subsumed in the input output map from the deformation to the traction on the boundary. We extend a dynamical approach to identification introduced by Belishev in the case of purely elastic (memoryless) bodies and based on a special equation due to Blagoveshchenskii. So, in particular, we extend Blagoveshchenskii equation to our class of systems with persistent memory.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes