A new Monte Carlo model for predicting the mechanical properties ...

Highlights. •. We develop a new Monte Carlo yarn model for fiber yarns' strength prediction. •. Element size dependence is resolved by a new random strength ...

We develop a new Monte Carlo yarn model for fiber yarns' strength prediction. · Element size dependence is resolved by a new random strength generation algorithm ...

A new Monte Carlo model for predicting the mechanical properties ...

Simulations on two types of yarns, made from different raw materials and based on distinct processing approaches, predict yarn strength values that compare ...

A new Monte Carlo model for predicting the mechanical properties ...

Request PDF | A new Monte Carlo model for predicting the mechanical properties of fiber yarns | Understanding the complicated failure ...

Monte Carlo Simulation for Exploring Mechanical Properties of ...

The SBFEM (scaled boundary finite element method) method is used in this paper to calculate a large number of random models of porous materials derived from ...

Monte Carlo simulation for exploring the mechanical properties of ...

This paper presents a method for analyzing the mechanical properties of particle-reinforced composites. The way is based on the Scaled Boundary Finite Element ...

Machine learning prediction of the mechanical properties of injection ...

To incorporate information on higher-order structures into the prediction model, X-ray diffraction (XRD) can be used. This study proposes a strategy to generate ...

Reliability of Monte Carlo simulation approach for estimating ...

... predicting the characteristic impedance of igneous rock from their physico-mechanical properties. ... strength prediction through a new ...

Predicting the Mechanical Properties of Zeolite Frameworks by ...

(49,50) This database contains over 500 000 frameworks obtained by a procedure that combines Monte Carlo simulation, simulated annealing, and ...

Mechanistic data-driven prediction of as-built mechanical properties ...

... model is then used to predict mechanical properties ... Simulation of metal additive manufacturing microstructures using kinetic monte carlo.

Predicting material properties with quantum Monte Carlo

... mechanical interactions, which make them very difficult to model. ... a new method for DFT. Moving forward with his attempt required ...

Integrating Monte Carlo Simulation, Machine Learning and Physics ...

... mechanical properties, and drilling mud pressure. A machine learning model is used as a mapping function to predict the minimum and maximum ...

Prediction and three-dimensional Monte-Carlo simulation for tensile ...

The tow-based model/simulation is defined to mean that the tow is treated as a minimal microstructure, and nec- essary material properties input for the model/ ...

Monte Carlo method - Wikipedia

Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical ...

Prediction of thermodynamic derivative properties of fluids by Monte ...

We compute second order derivatives of the Gibbs energy by Monte Carlo simulation in the isobaric–isothermal ensemble for fluids made of rigid and flexible ...

Atomistic simulation assisted error-inclusive Bayesian machine ...

Although MD simulations have the capability of predicting mechanical properties ... Stochastic analysis and Monte Carlo simulation. Complete ...

Monte-Carlo simulation for the fracture process and energy release ...

niques for predicting the tensile failure process and strength of ... This length depends on the mechanical properties of the fiber and matrix.

A Sensitivity and Robustness Analysis of GPR and ANN for High ...

... to predict the mechanical properties of HPC. Erdal et al. [14] used ... Strength Prediction Using a Monte Carlo Simulation. Sustainability 2020, 12 ...

Predicting Mechanical Stability in Mo-W-Re Alloys Using Multi-Cell ...

... Monte Carlo Method, Physical Review, № 2020; E Osei-Agyemang, Surface Oxidation Mechanism of a Refractory High-Entropy Alloy. npj Materials Degradation, № 3 ...

Accelerated Prediction of Photon Transport in Nanoparticle Media ...

Hokr and Bixler trained a fully connected neural network with GPU-based Monte Carlo simulations to predict the optical properties of single- ...