[HTML][HTML] An adaptive data-driven algorithm with machine learning for modeling high-order nonlinear beam-column finite elements
EDM Martinez, N Khaji - Journal of Building Engineering, 2024 - Elsevier
Structural analyses of buildings using beam-column finite elements are typically performed
using procedures based on rotation polynomials truncated to the second order. This …
using procedures based on rotation polynomials truncated to the second order. This …
Numerical solutions to linear differential equations on unbounded domain based on ECNN
H Sun, Y Lu - Chaos, Solitons & Fractals, 2025 - Elsevier
In this paper, we propose a novel single-layer Exponential Chebyshev Neural Network
(ECNN) designed to solve ordinary differential equations (ODEs) or systems of ODEs, as …
(ECNN) designed to solve ordinary differential equations (ODEs) or systems of ODEs, as …
Efficient spectral element method for the Euler equations on unbounded domains
Mitigating the impact of waves leaving a numerical domain has been a persistent challenge
in numerical modeling. Reducing wave reflection at the domain boundary is crucial for …
in numerical modeling. Reducing wave reflection at the domain boundary is crucial for …
Efficient hyperbolic–parabolic models on multi‐dimensional unbounded domains using an extended DG approach
F Vismara, T Benacchio - International Journal for Numerical …, 2024 - Wiley Online Library
We introduce an extended discontinuous Galerkin discretization of hyperbolic–parabolic
problems on multidimensional semi‐infinite domains. Building on previous work on the one …
problems on multidimensional semi‐infinite domains. Building on previous work on the one …