Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography

Electrical resistance tomography (ERT)-based distributed surface sensing systems, or skins, offer alternative techniques for structural health monitoring, providing capabilities of, example, damage, strain, and temperature. Currently, however, the computational utilized skins are limited to planar surfaces. In this paper, overcome limitation, we generalize ERT-based nonplanar surfaces covering arbitrarily shaped three-dimensional structures; construct a framework in which reformulate image reconstruction problem of ERT using Riemannian geometry, solve resulting numerically. We test series numerical experimental studies. The results demonstrate feasibility proposed formulation applicability geometries.