Space Charge at Nanoscale: Probing Injection and Dynamic Phenomena Under Dark/Light Configurations by Using KPFM and C-AFM

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Parameters sensitivity analysis in charge transport model for dielectric materials using Sobol indexes

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Sensitivity analysis of the electrostatic force distance curve using Sobol’s method and design of experiments

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A Variance Decomposition Method for Efficient Charge Transport Model Calibration

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Experimental investigation of the repeatability of direct damage induced by lightning strikes on metallic panels

Abstract Metallic parts of aircrafts that are used for fuel tanks areas or even for the fuselage can suffer from severe direct damage due to lightning strikes. Laboratory tests imitating lightning strikes follow standard regulations requirements that prescribe the current waveforms the structure must resist depending on the zone of the airplane. D+B+C* current waveforms are under concern here and are reproduced in by specific current delivery devices at DGA-Ta lightning lab. The present paper points out that in some cases, tests considered as identical from the standard regulation point of view can generate different damages in the plate, and even variability in perforation apparition. This paper proposes a damage severity index (DSI) that allows considering in an intrinsic manner the effect of the testing parameters related to the current waveform or from the sample modification. The analysis of the tests exhibits a threshold over which a critical crater occurs and the risk of perforation is maximal. We use the DSI to perform a sensitivity analysis on a small data set of lightning tests and quantify the positive or negative effects of significant current waveform or sample input parameters.</jats:p

Parameters sensitivity analysis in charge transport model using Sobol indexes for optimization purpose

International audienceThis paper aims at carrying out a parameters sensitivity analysis on a charge transport model using an approach based on the Sobol's method. Charge transport models generally encompass a large number of unknown or ill-defined parameters, typically 10, that interact to produce macroscopic response observable through e.g. space charge density profiles and external current measurements. However, the various physical processes of the model have different impact on the predicted behaviour. The Sobol' approach applied herein is used to study how the variation of the current density and charges density can be quantitatively apportioned to the variation of the model input parameters