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Guide to Coupled Electrostatic-Structural Analyses with Arpeggio

Porter, V.L.

Many applications in micromechanical systems (MEMS) involve electrostatically actuated parts. Arpeggio is a code for facilitating loose coupling between computational mechanics modules in a parallel computing environment. This document describes how to use Arpeggio for coupled elecromechanical analyses using examples commonly encountered in MEMS applications, namely the response of structures to loads imposed by electrostatic fields. For this type of analysis, Arpeggio is used to couple Adagio, a three dimensional finite element code for nonlinear, quasi static or implicit dynamic analysis of three-dimensional structures, with BEM, a boundary integral method code for the analysis of electrostatic fields. This guide describes the methodology used for the loose coupling and the commands the user needs in an input file to perform such an analysis. All commands related to coupled analyses are described and examples are provided.

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TYPE SAND Report YEAR 2006
DOIDOIOSTIOSTI

Report on ASC project degradation of organic materials

Lo, Chi S.; Thompson, Aidan P.; Grest, Gary S.

Using molecular dynamics simulations, a constitutive model for the chemical aging of polymer networks was developed. This model incorporates the effects on the stress from the chemical crosslinks and the physical entanglements. The independent network hypothesis has been modified to account for the stress transfer between networks due to crosslinking and scission in strained states. This model was implemented in the finite element code Adagio and validated through comparison with experiment. Stress relaxation data was used to deduce crosslinking history and the resulting history was used to predict permanent set. The permanent set predictions agree quantitatively with experiment.

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TYPE SAND Report YEAR 2006
OSTIDOI

Foundations for in vivo nano-scale measurement of memory processes

Forsythe, James C.

An ongoing program of research and development is utilizing nanomaterials as a basis for observing and measuring neurophysiological processes. Work commencing in fiscal year 2007 will focus on expanding current capabilities to create nanoelectrode arrays that will allow nanoscale measurement of the activity of 10's to 100's of neurons. This development is a vital step in gaining scientific insights concerning network properties associated with neural representations and processes. Specifically, attention will be focused the representation of memory in the hippocampus, for which extensive research has been conducted using laboratory rats. This report summarizes background research providing a foundation for work planned for fiscal year 2007 and beyond. In particular, the neuroanatomy and neurophysiology of the hippocampus is described. Additionally, several programs of research are described that have addressed the relationship between neurophysiological processes and behavioral measures of memory performance. These studies provide insight into methodological and analytic approaches for studying the representation of memory processes in the hippocampus. The objective of this report is to document relevant literature in a reference document that will support future research in this area.

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TYPE SAND Report YEAR 2006
DOIOSTI
Results 82001–82025 of 96,771
Results 82001–82025 of 96,771