Predicting laser weld reliability with stochastic reduced‐order models

DOI10.1002/nme.4935zbMath1352.78019OpenAlexW2107448141MaRDI QIDQ2952800

R. V. jun. Field, Kyle N. Karlson, John M. Emery, Mircea D. Grigoriu, James W. III Foulk

Publication date: 30 December 2016

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.4935

zbMATH Keywords

Monte Carlo simulationstructural reliabilitystochastic reduced-order modelslaser welds

Mathematics Subject Classification ID

Related Items (4)

Post optimization for accurate and efficient reliability-based design optimization using second-order reliability method based on importance sampling and its stochastic sensitivity analysis ⋮ Bayesian modeling of inconsistent plastic response due to material variability ⋮ Modeling strength and failure variability due to porosity in additively manufactured metals ⋮ Bayesian methods for characterizing unknown parameters of material models

Uses Software

• DAKOTA

Cites Work

• Unnamed Item
• Reduced order models for random functions. Application to stochastic problems
• An object-oriented framework for reduced-order models using proper orthogonal decomposition (POD)
• A method for solving stochastic equations by reduced order models and local approximations
• Response Statistics for Random Heterogeneous Microstructures
• Linear random vibration by stochastic reduced-order models
• A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
• A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

This page was built for publication: Predicting laser weld reliability with stochastic reduced‐order models