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A physics-informed machine learning model for reconstruction of dynamic
  loads

A physics-informed machine learning model for reconstruction of dynamic loads

15 August 2023
Gledson Rodrigo Tondo
I. Kavrakov
Guido Morgenthal
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A physics-informed machine learning model for reconstruction of dynamic loads"

2 / 2 papers shown
Title
Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions
Gledson Rodrigo Tondo
I. Kavrakov
Guido Morgenthal
87
2
0
13 Mar 2025
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
I. Kavrakov
Gledson Rodrigo Tondo
Guido Morgenthal
AI4CE
119
1
0
21 May 2024
1