Finite Element Model of the THOR-NT Dummy under Vertical Impact Loading for Aerospace Injury Prediction: Model Evaluation and Sensitivity Analysis

2015 ◽  
Vol 60 (2) ◽  
pp. 1-10 ◽  
Author(s):  
Jacob B. Putnam ◽  
Costin D. Untaroiu ◽  
Justin Littell ◽  
Martin Annett
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Prediction Model ◽  
Finite Element Model ◽  
Impact Loading ◽  
Model Evaluation ◽  
Element Model ◽  
Injury Prediction ◽  
Vertical Impact

scholarly journals Sensitivity Analysis of the Influence of Structural Parameters on Dynamic Behaviour of Highly Redundant Cable-Stayed Bridges

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
B. Asgari ◽  
S. A. Osman ◽  
A. Adnan
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Finite Element Model ◽  
Model Updating ◽  
Structural Parameters ◽  
Element Model ◽  
Structural Behavior ◽  
Model Tuning ◽  
The Finite Element Model ◽  
Cable Stayed Bridges

The model tuning through sensitivity analysis is a prominent procedure to assess the structural behavior and dynamic characteristics of cable-stayed bridges. Most of the previous sensitivity-based model tuning methods are automatic iterative processes; however, the results of recent studies show that the most reasonable results are achievable by applying the manual methods to update the analytical model of cable-stayed bridges. This paper presents a model updating algorithm for highly redundant cable-stayed bridges that can be used as an iterative manual procedure. The updating parameters are selected through the sensitivity analysis which helps to better understand the structural behavior of the bridge. The finite element model of Tatara Bridge is considered for the numerical studies. The results of the simulations indicate the efficiency and applicability of the presented manual tuning method for updating the finite element model of cable-stayed bridges. The new aspects regarding effective material and structural parameters and model tuning procedure presented in this paper will be useful for analyzing and model updating of cable-stayed bridges.

Finite-Element Model of Impact Loading and Deformation of a Flexible Steel Ring-Net Debris-Flow Barrier

2020 ◽  
Vol 21 (3) ◽  
pp. 04020026
Author(s):  
Aliena M. Debelak ◽  
Christopher A. Bareither ◽  
Hussam Mahmoud
Keyword(s):  
Finite Element ◽  
Debris Flow ◽  
Finite Element Model ◽  
Impact Loading ◽  
Element Model ◽  
Ring Net

scholarly journals Sensitivity Analysis of a Nuclear Reactor System Finite Element Model

2018 ◽  
Author(s):  
Gregory A. Banyay ◽  
Stephen D. Smith ◽  
Jason S. Young
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Finite Element Model ◽  
Surrogate Model ◽  
Computational Design ◽  
Element Model ◽  
Sensitivity Analyses ◽  
Physical Parameters ◽  
Loading Conditions ◽  
Pressurized Water

The structures associated with the nuclear steam supply system (NSSS) of a pressurized water reactor (PWR) warrant evaluation of various non-stationary loading conditions which could occur over the life of a nuclear power plant. These loading conditions include those associated with a loss of coolant accident and seismic event. The dynamic structural system is represented by a finite element model consisting of significant epistemic and aleatory uncertainties in the physical parameters. To provide an enhanced understanding of the influence of these uncertainties on model results, a sensitivity analysis is performed. This work demonstrates the construction of a computational design of experiment which runs the finite element model a sufficient number of times to train and verify a unique aggregate surrogate model. Adaptive sampling is employed in order to reduce the overall computational burden. The surrogate model is then used to perform both global and local sensitivity analyses.

scholarly journals Effect of Aging on Brain Injury Prediction in Rotational Head Trauma—A Parameter Study with a Rat Finite Element Model

2015 ◽  
Vol 16 (sup1) ◽  
pp. S91-S99 ◽  
Author(s):  
Jacobo Antona-Makoshi ◽  
Erik Eliasson ◽  
Johan Davidsson ◽  
Susumu Ejima ◽  
Koshiro Ono
Keyword(s):  
Finite Element ◽  
Brain Injury ◽  
Finite Element Model ◽  
Head Trauma ◽  
Element Model ◽  
Parameter Study ◽  
Injury Prediction
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