Numerical comparison in 2D/3D discrete concrete models shows Tessellation BCs yield well-defined localization bands fixed by model geometry, unlike Percolation-path-aligned BCs which suffer from uneven straining and spurious localization.
Regional seismic fragility of bridge network derived by covariance matrix model of bridge portfolios
2 Pith papers cite this work. Polarity classification is still indexing.
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A modular CNN protocol identifies minimal loading history modules for basic hysteresis, degradation, and pinching, then trains three separate networks to estimate Bouc-Wen parameters rapidly from those modules.
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Deep learning-based modularized loading protocol for parameter estimation of Bouc-Wen class models
A modular CNN protocol identifies minimal loading history modules for basic hysteresis, degradation, and pinching, then trains three separate networks to estimate Bouc-Wen parameters rapidly from those modules.