A data-driven approach for instability analysis of thin composite structures

Bai, Xiaowei; Yang, Jie; Yan, Wei Qi; Huang, Qun; Belouettar, Salim; Hu, Heng

doi:10.1016/j.compstruc.2022.106898

Cited by 8 publications

(1 citation statement)

References 43 publications

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“…8,9 for elasticity‐related problems. Since then, the so‐called data‐driven computing framework has been extended to several other problem classes as well, 10–14 including the authors' contributions in the field of magnetic field simulation 15–17 . The original model‐free data‐driven formulation 8 and its derived works are characterized by a partial differential equation (PDE), which is either elliptic or parabolic.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven model‐free modified nodal analysis circuit solver

Galetzka,

Loukrezis,

De Gersem

2024

Int J Numerical Modelling

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This work introduces a novel data‐driven model‐free modified nodal analysis (MNA) circuit solver. The solver is capable of handling circuit problems featuring elements for which solely measurement data are available. Rather than utilizing hard‐coded phenomenological model representations, the data‐driven MNA solver reformulates the circuit problem such that the solution is found by minimizing the distance between circuit states that fulfill Kirchhoff's laws, and states belonging to the measurement data. In this way, the formerly inevitable demand for model representations is eliminated, thus avoiding the introduction of related modeling errors and uncertainties. The proposed solver is applied to linear and nonlinear RC‐circuits and to a half‐wave rectifier.

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