Alternatives and similar repositories for Fatigue-Life-Prediction

Users that are interested in Fatigue-Life-Prediction are comparing it to the libraries listed below

• shi-tong / Transfer-learning-based-PINN
  This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…
  ☆18Updated last year
• stupid-cooh / Metal-Multiaxial-Fatigue-Life-Prediction-Using-Deep-Learning
  This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…
  ☆20Updated last year
• hsbhc / AMAW-PINN
  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
  ☆37Updated 2 years ago
• DOUYEHAO / PINN-combined-with-LSTM
  Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…
  ☆36Updated 10 months ago
• zhouzhouwen / An-improved-PINNs-with-the-adaptive-weight-sampling-and-DE-algorithm
  An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …
  ☆26Updated 2 years ago
• diegoandresalvarez / BWBN_TMCMC
  Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method
  ☆14Updated 6 months ago
• zxgcqupt / PINNs4SRA
  ☆13Updated 10 months ago
• diegoandresalvarez / BWBN
  Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system
  ☆13Updated 4 years ago
• PML-UCF / pinn_corrosion_fatigue
  Python scripts for physics-informed neural networks for corrosion-fatigue prognosis
  ☆41Updated 3 years ago
• JxdEngineer / 3D-Simulation-of-Vehicle-Bridge-Interaction
  Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…
  ☆17Updated 3 weeks ago
• railleon / FD-PINN_dynamics
  Physics-informed deep learning for structural dynamics under moving load
  ☆16Updated last year
• theComputeKid / ehl-point-stationary
  Elastohydrodynamic Lubrication Point Contact Solver for MATLAB
  ☆27Updated last year
• ShashankSubramanian / adaptive-selfsupervision-pinns
  Gradient-based adaptive sampling algorithms for self-supervising PINNs
  ☆27Updated 2 years ago
• pcl-china / SK-PINN
  SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients
  ☆22Updated 6 months ago
• joshiji789 / PINN-s-for-Heat-Transfer-Problem
  In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …
  ☆10Updated 2 years ago
• matlab-deep-learning / Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs
  ☆87Updated last year
• berkcankapusuzoglu / Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-Manufacturing
  Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication
  ☆17Updated 3 years ago
• ZzYyPp47 / Solving_Allen-Cahn_with_Adaptive_PINN
  复现CICP论文提出的几种改进PINN性能的方法
  ☆23Updated 3 months ago
• zhry10 / PhyLSTM
  We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
  ☆92Updated 2 years ago
• PML-UCF / pinn_wind_bearing
  Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks
  ☆114Updated 3 years ago
• zuokuijun / Multi-head-attention-network
  Multi-head attention network for airfoil flow field prediction
  ☆15Updated 3 years ago
• austindowney / Physics-Informed-Machine-Learning-Example
  A basic example of using physics informed machine learning for enhanced structural dynamics modeling
  ☆10Updated 2 years ago
• ShuhengLiao / Physics_informed_AM
  ☆23Updated 11 months ago
• MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms
  ☆11Updated 4 years ago
• MarcusHA94 / structural-dynamics-pinns
  Research/development of physics-informed neural networks for dynamic systems
  ☆29Updated 10 months ago
• mengli-2020 / Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-Analysis
  In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR…
  ☆10Updated 3 years ago
• alovberg / cumulative-damage-pytorch
  Physics-informed neural network for fatigue crack propagation (Paris' law)
  ☆17Updated 3 years ago
• mfarshchin / Frequency-Domain-Decomposition-FDD
  Frequency Domain Decomposition (FDD)
  ☆11Updated 5 years ago
• mathworks / Simscape-Triplex-Pump
  Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape
  ☆36Updated 9 months ago
• luismoraortiz / BT_PINN_Approach_to_Solve_PDE
  This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…
  ☆15Updated 3 years ago