Process for computing geometric perturbations for probabilistic analysis
Abstract
A method for computing geometric perturbations for probabilistic analysis. The probabilistic analysis is based on finite element modeling, in which uncertainties in the modeled system are represented by changes in the nominal geometry of the model, referred to as "perturbations". These changes are accomplished using displacement vectors, which are computed for each node of a region of interest and are based on mean-value coordinate calculations.
- Inventors:
-
- Charlottesville, VA
- San Antonio, TX
- Issue Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1040874
- Patent Number(s):
- 8155929
- Application Number:
- 12/239,336
- Assignee:
- Southwest Research Institute (San Antonio, TX)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- DOE Contract Number:
- W-7405-ENG-36
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Fitch, Simeon H. K., Riha, David S, and Thacker, Ben H. Process for computing geometric perturbations for probabilistic analysis. United States: N. p., 2012.
Web.
Fitch, Simeon H. K., Riha, David S, & Thacker, Ben H. Process for computing geometric perturbations for probabilistic analysis. United States.
Fitch, Simeon H. K., Riha, David S, and Thacker, Ben H. Tue .
"Process for computing geometric perturbations for probabilistic analysis". United States. https://www.osti.gov/servlets/purl/1040874.
@article{osti_1040874,
title = {Process for computing geometric perturbations for probabilistic analysis},
author = {Fitch, Simeon H. K. and Riha, David S and Thacker, Ben H},
abstractNote = {A method for computing geometric perturbations for probabilistic analysis. The probabilistic analysis is based on finite element modeling, in which uncertainties in the modeled system are represented by changes in the nominal geometry of the model, referred to as "perturbations". These changes are accomplished using displacement vectors, which are computed for each node of a region of interest and are based on mean-value coordinate calculations.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 10 00:00:00 EDT 2012},
month = {Tue Apr 10 00:00:00 EDT 2012}
}
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Works referenced in this record:
Recent Advances of the NESSUS Probabilistic Analysis Software for Engineering Applications
conference, June 2012
- Riha, David; Thacker, Ben; Fitch, Simeon
- 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
Probabilistic engineering analysis using the NESSUS software
conference, February 2013
- Riha, D.; Enright, M.; Millwater, H.
- 41st Structures, Structural Dynamics, and Materials Conference and Exhibit, 41st Structures, Structural Dynamics, and Materials Conference and Exhibit
Mean value coordinates for arbitrary planar polygons
journal, October 2006
- Hormann, Kai; Floater, Michael S.
- ACM Transactions on Graphics (TOG), Vol. 25, Issue 4