Sandia_Natl_Labs_FY19_LDRD_Annual_SAND2020-3752 R_2_S


Passive magnetoelastic smart sensors for a resilient energy infrastructure. A novel, passive, autonomous, and affordable microsensor for indirect detection of µA currents was developed. When integrated near current-carrying conductors, these wireless magnetoelastic smart sensors (MagSens) can detect small changes in their magnetic field via frequency shifts and thus detect leakage currents, arc faults (AF), ground faults (GF), transmission and distribution faults, and assist with asset health monitoring. The adoption of a sensitive and reliable fault detection system will ensure improved safety and integrity in complex grid, energy generation, conversion, and storage systems. An exascale computational simulation capability for pervasive fracture and failure of structures. Modeling fracture is a difficult problem based on stochastic material properties throughout a structure. Sandia, together with the Jet Propulsion Laboratories, completed a joint project to develop computational algorithms and software that models the physics of pervasive failure for structures under severe loading, such as the Europa lander crashing into an icy moon of Jupiter. Sandia developed non-local and phase-field regularization algorithms within the Sierra/Solid Mechanics software package that predict the location and extent of fracture in structures under load. Further development of this software is now being funded by the NNSA Advanced Simulation and Computing program.



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