Reduced Order Modeling of Parachute Systems Using Large Scale Finite Element Models

2011 ◽  
Author(s):  
Richard Charles ◽  
Michael Accorsi ◽  
Rahul Dantulwar
Keyword(s):  
Finite Element ◽  
Large Scale ◽  
Reduced Order Modeling ◽  
Finite Element Models ◽  
Reduced Order

How Adaptively Constructed Reduced Order Models Can Benefit Sampling-Based Methodsfor Reliability Analyses

2016 ◽  
Vol 23 (05) ◽  
pp. 1650019 ◽  
Author(s):  
Christian Gogu ◽  
Anirban Chaudhuri ◽  
Christian Bes
Keyword(s):  
Finite Element ◽  
Monte Carlo ◽  
Reliability Analysis ◽  
Computational Cost ◽  
Reduced Order Modeling ◽  
Finite Element Models ◽  
Reduced Order Models ◽  
Reduced Basis ◽  
Reduced Order ◽  
Separable Monte Carlo

Many sampling-based approaches are currently available for calculating the reliability of a design. The most efficient methods can achieve reductions in the computational cost by one to several orders of magnitude compared to the basic Monte Carlo method. This paper is specifically targeted at sampling-based approaches for reliability analysis, in which the samples represent calls to expensive finite element models. The aim of this paper is to illustrate how these methods can further benefit from reduced order modeling to achieve drastic additional computational cost reductions, in cases where the reliability analysis is carried out on finite element models. Standard Monte Carlo, importance sampling, separable Monte Carlo and a combined importance separable Monte Carlo approach are presented and coupled with reduced order modeling. An adaptive construction of the reduced basis models is proposed. The various approaches are compared on a thermal reliability design problem, where the coupling with the adaptively constructed reduced order models is shown to further increase the computational efficiency by up to a factor of six.

Micro-CT-Based Large Scale Linear Finite Element Models Predict the Strength of Human Thoracic and Lumbar Vertebral Bodies

2007 ◽  
Author(s):  
Yener N. Yeni ◽  
Do-Gyoon Kim ◽  
Roger R. Zauel ◽  
Evan M. Johnson ◽  
Dianna D. Cody
Keyword(s):  
Finite Element ◽  
Large Scale ◽  
Quantitative Computed Tomography ◽  
Finite Element Models ◽  
Micro Ct ◽  
Linear Finite Element ◽  
Vertebral Strength ◽  
Local Properties ◽  
Vertebral Bodies ◽  
Architectural Detail

Vertebral fractures are among the most common and debilitating fractures. Structural organization of cancellous and cortical bone in a vertebra and their local properties are important factors that determine the strength of a vertebra. Linear finite element models utilizing Quantitative Computed Tomography (QCT) images have proven useful for predicting vertebral strength and are potentially useful in predicting risk of fracture in a clinical setting [1]. However, the amount of architectural detail in these models is not sufficient for studying trabecular stress and strains, and their relationship with the microscopic structure, which is important for understanding the mechanisms behind vertebral fragility.

Toward the updating of large-scale dynamic finite element models using massive instrumentation

1996 ◽  
Author(s):  
Francois Hemez ◽  
Charbel Farhat ◽  
Emmanuele Decaux ◽  
Jacques Duysens ◽  
Pascal L
Keyword(s):  
Finite Element ◽  
Large Scale ◽  
Finite Element Models ◽  
Dynamic Finite Element
Sign in / Sign up

Export Citation Format

Share Document