scholarly journals A quantitative relationship between rotational head kinematics and brain tissue strain from a 2-D parametric finite element analysis

2021 ◽  
Vol 2 ◽  
pp. 100024
Author(s):  
Rika Wright Carlsen ◽  
Alice Lux Fawzi ◽  
Yang Wan ◽  
Haneesh Kesari ◽  
Christian Franck
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Brain Tissue ◽  
Quantitative Relationship ◽  
Element Analysis ◽  
Head Kinematics ◽  
Tissue Strain ◽  
Parametric Finite Element Analysis

Reusability-based selection of parametric finite element analysis models

2009 ◽  
Vol 23 (2) ◽  
pp. 197-214
Author(s):  
Nsikan Udoyen ◽  
David W. Rosen
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Adaptive Reuse ◽  
Element Analysis ◽  
Fea Modeling ◽  
New Information ◽  
Parametric Finite Element Analysis ◽  
Method Factors ◽  
Analysis Models ◽  
Selection Of

AbstractA selection method to support adaptive reuse of parametric finite element analysis (FEA) models is introduced in this paper. Adaptive reuse of engineering artifacts such as FEA models is common in product design, but difficult to automate because of the need to integrate new information. The proposed method factors reusability into selection by evaluating models based on comparative estimates of effort involved in adapting them for reuse to model a query problem. The method is developed for FEA models of component-based designs. FEA modeling of electronic chip packages is used to illustrate the method's usefulness. We conclude with a discussion on the method's advantages and limitations and highlight important issues for further research.

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