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Deep Learning-Enabled Design and Seismic Performance Evaluation of a Nonlinear Magnetic Vibration Absorber for Structural Control

https://doi.org/10.2139/ssrn.7351952

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Neural networks in computational mechanics

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Ultra-fast Surrogate Model for Magnetic Field Computation of a Superconducting Magnet Using Multi-layer Artificial Neural Networks

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Numerical and experimental evaluation of the magnetic interaction for frequency up-conversion in piezoelectric vibration energy harvesters

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Design of a magnetic vibration absorber with tunable stiffnesses

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A magnetic nonlinear energy sink with quasi-zero stiffness characteristics

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Vibration control of a cantilever beam coupled with magnetic tri-stable nonlinear energy sink

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Feasibility study of a large-scale tuned mass damper with eddy current damping mechanism

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Prediction of damage potential in mainshock–aftershock sequences using machine learning algorithms

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Machine learning based damage state identification: A novel perspective on fragility analysis for nuclear power plants considering structural uncertainties

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Adoption of tree-based machine learning algorithms and CPT data for liquefaction potential assessment

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Seismic response mitigation of wind turbine towers using a nonlinear magnetic damper

inferredcites →https://doi.org/10.1016/j.jmmm.2021.167869openalex-snapshot

Data – Driven modelling of the interaction force between permanent magnets

inferredcites →https://doi.org/10.1016/j.jmmm.2026.174387openalex-snapshot

Machine learning based estimation of eddy current damping in magnetic vibration absorbers

inferredcites →https://doi.org/10.1016/j.jsv.2004.07.031openalex-snapshot

Vibration suppression of a cantilever beam using eddy current damper

inferredcites →https://doi.org/10.1016/j.jsv.2005.01.016openalex-snapshot

Concept and model of eddy current damper for vibration suppression of a beam

inferredcites →https://doi.org/10.1017/9781108348973openalex-snapshot

Bayesian Optimization

inferredcites →https://doi.org/10.1039/b901865dopenalex-snapshot

Magnetic forces produced by rectangular permanent magnets in static microsystems

inferredcites →https://doi.org/10.1109/tec.2018.2886316openalex-snapshot

Design and Multi-Objective Stratified Optimization of a Less-Rare-Earth Hybrid Permanent Magnets Motor With High Torque Density and Low Cost

inferredcites →https://doi.org/10.1109/tmag.2009.2016088openalex-snapshot

Force and Stiffness of Passive Magnetic Bearings Using Permanent Magnets. Part 1: Axial Magnetization

inferredcites →https://doi.org/10.1109/tmag.2019.2899304openalex-snapshot

Deep Learning for Magnetic Field Estimation

inferredcites →https://doi.org/10.1109/tmag.2019.2923160openalex-snapshot

Robust Design of an Outer Rotor Permanent Magnet Motor Through Six-Sigma Methodology Using Response Surface Surrogate Model

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Passive control of wind turbine tower using nonlinear magnetic vibration absorber and eddy current damping

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Research on dynamic characteristics of a novel triple-magnet magnetic suspension dynamic vibration absorber

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Greedy function approximation: A gradient boosting machine.

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SNN-Based Surrogate Modeling of Electromagnetic Force and Its Application in Maglev Vehicle Dynamics Simulation

inferredcites →https://doi.org/10.3390/en11123319openalex-snapshot

Application of an Eddy Current-Tuned Mass Damper to Vibration Mitigation of Offshore Wind Turbines

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