Alternatives and similar repositories for Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

Users that are interested in Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning are comparing it to the libraries listed below

• pranaymodukuru / Concrete-compressive-strength
  Concrete Compressive Strength Prediction using Machine Learning
  ☆25Updated 5 years ago
• MeghnathReddy / Concrete-Compressive-Strength-Prediction
  Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…
  ☆22Updated 4 years ago
• ShagunSharma98 / Global-Structural-Earthquake-Damage-Prediction
  Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.
  ☆15Updated 4 years ago
• sujithmangalathu / Shear-Wall-Failure-Mode
  Failure mode identification of shear walls
  ☆17Updated 5 years ago
• xaviergoby / ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDT
  Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
  ☆41Updated 3 years ago
• ericdhitchens / Predicting_Concrete_Compressive_Strength
  How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …
  ☆11Updated 4 years ago
• wenjie-liao / DTL_TFC_Vibration_Identification
  Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response
  ☆31Updated 3 years ago
• zhry10 / DeepLSTM
  Deep LSTM for highly nonlinear system modeling
  ☆56Updated 5 years ago
• dcfeng-87 / Ensemble-learning-deep-beam
  Implementing ensemble learning methods for shear strength prediction of RC deep beams with/without web reinforcements
  ☆17Updated 4 years ago
• iagolemos1 / First-Order-Reliability-methods-MATLAB
  ☆17Updated 4 years ago
• shm-unesp / DATASET_PLATEUN01
  CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SH…
  ☆26Updated 2 months ago
• zhry10 / PhyCNN
  Physics-guided Convolutional Neural Network
  ☆67Updated 4 years ago
• xzk8559 / RecursiveLSTM
  Recursive long short-term memory network for predicting nonlinear structural seismic response
  ☆19Updated 3 years ago
• mvreal / Reliability
  A Python class for Reliability analysis including Monte Carlo and FORM methods
  ☆14Updated 2 months ago
• zhry10 / PhyLSTM
  We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
  ☆90Updated last year
• IoannisDadiotis / statistical_shm
  Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
  ☆16Updated last year
• caio-davi / PSO-PINN
  Physics-Informed Neural Networks Trained with Particle Swarm Optimization
  ☆20Updated 2 years ago
• Aarifmedharsha / Concrete-bond-Strength-Prediction
  ☆14Updated 3 years ago
• TyongKim / ERD2
  Earthquake Responses prediction using Deep learning and Database
  ☆37Updated 3 months ago
• pmaczuga / pinn-notebooks
  ☆10Updated last year
• diegoandresalvarez / BWBN_TMCMC
  Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method
  ☆11Updated 3 months ago
• xaviergoby / Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification
  Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
  ☆56Updated 5 years ago
• PML-UCF / pinn_corrosion_fatigue
  Python scripts for physics-informed neural networks for corrosion-fatigue prognosis
  ☆41Updated 2 years ago
• federicosanna / UNet-for-FEM-and-Stress-Distribution-Inference
  A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.
  ☆29Updated 5 years ago
• ERA-Software / Overview
  ☆16Updated 3 months ago
• viraja1 / crack_detection
  Concrete Crack Detection for Structural Audit
  ☆29Updated 5 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…
  ☆16Updated last week
• Muhabdaziz / PINN-Conduction
  Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems
  ☆14Updated 2 years ago
• MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms
  ☆11Updated 4 years ago
• phyml4e / PINNs
  ☆19Updated last year